GAT Subject Test (Statistics)

National Testing Service Pakistan

7 contributor - 0 Folowers




Anna IQ APTITUDE & ABILITY   -   Verbal Reasoning

Many find it strange that her writing is thought to be tortuous; her recent essays, although longer than most of her earlier essays, are extremely_______.

Anmol Qamar

It is tedious right option?

Anna IQ APTITUDE & ABILITY   -   Verbal Reasoning

The author presents the life of Zane Grey with _____ unusual in a biographer: he is not even convinced that Grey was a good writer.

Fani Warraich

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Bashir Farooqi IQ APTITUDE & ABILITY   -   Verbal Reasoning

During their operational lifetimes, the majority of spacecraft currently face minimal risk of collision with space junk, but given the number of new satellites launched each year, the orbital environment is likely to be less ________ in the future.

Bashir Farooqi IQ APTITUDE & ABILITY   -   Verbal Reasoning

Florence Nightingale was ___ in the development of modern medicine, ___ such practices as sanitization of hospital wards and isolation of actively infected patients.

Florence Nightingale was a pioneer in the development of modern medicine. She was an innovator who initiated such practices as sanitization of hospital wards and isolation of actively infected patients. She was not a collaborator who rejected these practices, nor was she a maverick who protested them. She was an individual who saw the need for these practices and worked to implement them. The other choices are incorrect. A collaborator is someone who works with others. Nightingale did not work with others to reject these practices. A maverick is someone who goes against the established order. Nightingale did not go against the established order by protesting these practices. A pioneer is someone who is the first to do something. Nightingale was not the first person to suggest these practices, but she was the first person to successfully implement them. An individualist is someone who does things their own way. Nightingale did not do things her own way by standardizing these practices. She worked with others to standardize them.
Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

Linda Greenhouse's articles for the New York Times are an outstanding example of ___, capsulizing prose into a necessarily limited space.

Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

Roberto Clement was seen as ___ during his life because of both his selflessness on the baseball field and his humanitarian work in his native Nicaragua

Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

His habit of spending more than he earned left him in a state of perpetual------ but he------------hoping to see a more affluent day

Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

Known for his commitment to numerous worthy causes, the philanthropist deserved------ for his-----------

Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

You should --------this paragraph in order to make your essay more-----

Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

A------glance pays-----attention to details

Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

Surprisingly enough, it is more difficult to write about the--------than about the---and strange.

The sentence is comparing the difficulty of writing about two different things. The first part of the sentence sets up the contrast by stating that it is more difficult to write about something "surprisingly enough" than something else. The key to understanding the correct answer is to recognize the contrast between the two words in each pair. "Commonplace" refers to things that are ordinary, everyday, or familiar. These are things that are not particularly interesting or unusual. "Exotic" refers to things that are foreign, unusual, or unique. These are things that are out of the ordinary and intriguing because of their distinctiveness. Given this contrast, it makes sense that it would be more difficult to write about something commonplace (which lacks inherent interest or novelty) compared to something exotic (which has a built-in level of intrigue and uniqueness). Therefore, option C is the correct answer because it correctly captures this contrast in difficulty.
Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

A-----response is one that is made with----------.

In this sentence, a "speedy" response is described as one made with "alacrity," which means briskness, eagerness, or willingness to respond quickly and with enthusiasm. This choice of words creates a logical and coherent sentence.
Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

3. A----is a-------.

In this sentence, a "norm" is described as a "standard." This pairing of words makes sense and creates a coherent sentence. Norms often refer to accepted standards or behaviors within a group or society.
Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

It is widely believed that a nuclear war could ____ enough smoke and dust to block out the sun and freeze the earth.

In this context, "billow" means to produce large quantities of smoke and dust, which could have the described catastrophic effects on the environment.
Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

Consumption of red meat has ____ because its fat content has become a worrisome and ____ matter.

In this context, "declined" fits with the idea that people are eating less red meat, and "controversial" suggests that there is debate or disagreement about its health implications, particularly related to its fat content
Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

It takes ____ character to ____ the extremities of the arctic region.

Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

Consumers refused to buy meat products from the company because of rumors that the water supply at the meat processing plant was ______; the rumors, however, were quite ______, with no hard evidence to back them up.

This choice of words creates a coherent sentence where "contaminated" refers to the rumors about the water supply being polluted, and "unsubstantiated" means that there was no concrete evidence to support these rumors
Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

Many kinds of harmful viruses are unhindered when passing through different parts of the host organism; indeed, there are few organic substances which such viruses’ cannot______.

Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

Their conversation was unsettling, for the gravity of their topic contrasted so oddly with the ______ of their tone

Muhammad Tayyab Ikhlas IQ APTITUDE & ABILITY   -   Verbal Reasoning

Throughout the animal kingdom, ____ bigger than the elephant.

Fani Warraich IQ APTITUDE & ABILITY   -   Verbal Reasoning

Although its publicity has been ___, the film itself is intelligent, well-acted, handsomely produced and altogether ___

Fani Warraich IQ APTITUDE & ABILITY   -   Verbal Reasoning

The Inuit natives of Alaska's North Slope worry that ___ oil exploration might ___their sensitive natural environment.

Fani Warraich IQ APTITUDE & ABILITY   -   Verbal Reasoning

Ants live in colonies based on ___; each member contributes to the good of all by actively working with others in performing necessary tasks.

Sidis IQ APTITUDE & ABILITY   -   Verbal Reasoning

In the given sentence, identify the gerund phrase: "Running marathons in extreme weather conditions requires immense determination and endurance."

A gerund phrase is a phrase consisting of a gerund (a verb form ending in "-ing") and any modifiers or complements. In this sentence, "Running marathons" functions as a gerund phrase because "running" is a gerund acting as the subject of the sentence.
Sidis IQ APTITUDE & ABILITY   -   Verbal Reasoning

Identify the logical fallacy in the following argument: "I've never seen a black swan; therefore, black swans do not exist."

The argument makes a broad generalization based on insufficient evidence. Seeing no black swans personally does not necessarily mean that they do not exist; it's just an insufficient sample size to draw such a conclusion.
Sidis IQ APTITUDE & ABILITY   -   Verbal Reasoning

Choose the word that best completes the analogy: Adorn: Decorate :: _______ : Amass

"Adorn" is a synonym for "decorate." Similarly, "Hoard" is a synonym for "amass" or collect in large quantities.
Sidis IQ APTITUDE & ABILITY   -   Verbal Reasoning

Identify the figure of speech used in the following sentence :"The stars danced playfully in the sky."

Personification is the attribution of human characteristics to non-human entities. In this sentence, the stars are described as "dancing playfully," which is a human characteristic attributed to them.
Sidis IQ APTITUDE & ABILITY   -   Analytical Reasoning

An office building has five floors, numbered one through five. Each floor has a different color carpet: red, blue, green, yellow, and white. The following conditions must be met: i. The red carpet cannot be on the top floor. ii. The blue carpet must be above the green carpet but below the yellow carpet. iii. The white carpet must be on a higher floor than the green carpet but cannot be on the top floor. In which of the following arrangements is the sequence of floors correctly matched with the colors of their respective carpets?

The arrangement follows all the given conditions: red is not on the top floor, blue is above green and below yellow, and white is above green but not on the top floor.
Sidis IQ APTITUDE & ABILITY   -   Analytical Reasoning

In a certain company, there are seven executives: Adam, Ben, Chris, David, Emily, Fiona, and Grace. They are seated in a row of chairs. The following conditions must be met: i. Adam cannot sit next to Chris or Emily. ii. Ben must sit next to David. iii. Fiona cannot sit at either end of the row. Which of the following is a valid arrangement of the executives?

In this arrangement, all the given conditions are met: Adam is not next to Chris or Emily, Ben is next to David, and Fiona is not at either end of the row.
Fani Warraich

.

Sidis IQ APTITUDE & ABILITY   -   Analytical Reasoning

Five friends – Alex, Brian, Chris, David, and Eric – are participating in a singing competition. They will perform one after the other. The following conditions must be met: i. Alex cannot perform before David or Eric. ii. Brian must perform before Chris. iii. David cannot be the first or last to perform. In which of the following sequences can the friends perform according to the given conditions?

This sequence satisfies all conditions: Alex does not perform before David or Eric, Brian performs before Chris, and David is neither first nor last.
Sidis IQ APTITUDE & ABILITY   -   Analytical Reasoning

In a chess tournament, there are six players: Alice, Bob, Carol, David, Emily, and Frank. Each player plays exactly once against each of the other players. The following conditions must be met: i. Alice must play against Bob and Emily. ii. Carol cannot play against David or Frank. iii. Emily must play against Alice and David. How many different matches can be played in total?

There are six players, so each player plays against five other players. However, the matches involving Alice, Emily, and Carol are determined by the given conditions, resulting in 12 matches.
Sidis IQ APTITUDE & ABILITY   -   Analytical Reasoning

Five books – A, B, C, D, and E – are placed on a shelf. The following conditions must be met: i. Book A cannot be placed next to book B. ii. Book C must be placed between books B and D. iii. Book E must be placed somewhere to the right of book A. Which of the following represents a valid arrangement of the books on the shelf, from left to right?

In this arrangement, all the given conditions are met: A is not next to B, C is between B and D, and E is to the right of A.
Togus Bash STATISTICS   -   Inferential Statistics

What is the primary purpose of inferential statistics?

Togus Bash STATISTICS   -   Inferential Statistics

What does a p-value represent in hypothesis testing?

Togus Bash STATISTICS   -   Inferential Statistics

In a two-tailed test, what is the significance level typically used?

Togus Bash STATISTICS   -   Inferential Statistics

Which of the following is NOT a type of hypothesis test?

Togus Bash STATISTICS   -   Inferential Statistics

What does the Central Limit Theorem state?

Togus Bash STATISTICS   -   Inferential Statistics

What is the purpose of a confidence interval?

Togus Bash STATISTICS   -   Inferential Statistics

Which of the following indicates a strong positive correlation?

Togus Bash STATISTICS   -   Inferential Statistics

What does a Type I error represent?

Togus Bash STATISTICS   -   Inferential Statistics

What is the formula for the standard error of the mean?

Togus Bash STATISTICS   -   Inferential Statistics

In which scenario would you use a chi-square test?

Togus Bash STATISTICS   -   Inferential Statistics

What does the term "power" refer to in hypothesis testing?

Togus Bash STATISTICS   -   Inferential Statistics

Which of the following is a non-parametric test?

Togus Bash STATISTICS   -   Inferential Statistics

What is the main assumption of linear regression analysis?

Togus Bash STATISTICS   -   Inferential Statistics

In hypothesis testing, what does a (alpha) represent?

Togus Bash STATISTICS   -   Inferential Statistics

What is the null hypothesis in a t-test for means?

Togus Bash STATISTICS   -   Inferential Statistics

Which of the following is true about a 95% confidence interval?

Togus Bash STATISTICS   -   Inferential Statistics

What type of data is required for ANOVA?

Togus Bash STATISTICS   -   Inferential Statistics

In regression analysis, what does R? represent?

Togus Bash STATISTICS   -   Inferential Statistics

What is the main purpose of post-hoc tests in ANOVA?

Togus Bash STATISTICS   -   Inferential Statistics

What does a confidence level of 99% imply?

Togus Bash STATISTICS   -   Inferential Statistics

Which of the following is an assumption of the t-test?

Togus Bash STATISTICS   -   Inferential Statistics

What is the main focus of inferential statistics?

Togus Bash STATISTICS   -   Inferential Statistics

In a one-way ANOVA, what does the F-statistic compare?

Togus Bash STATISTICS   -   Inferential Statistics

What is the effect of increasing sample size on the standard error?

Togus Bash STATISTICS   -   Inferential Statistics

Which test would you use to compare the means of three or more groups?

Togus Bash STATISTICS   -   Inferential Statistics

What is the purpose of a hypothesis test?

Togus Bash STATISTICS   -   Inferential Statistics

Which of the following is a characteristic of a normal distribution?

Togus Bash STATISTICS   -   Inferential Statistics

What does it mean if a result is statistically significant?

Togus Bash STATISTICS   -   Inferential Statistics

In a regression equation, what does the intercept represent?

Togus Bash STATISTICS   -   Inferential Statistics

What is the purpose of a control group in an experiment?

Togus Bash STATISTICS   -   Inferential Statistics

What does a negative correlation indicate?

Togus Bash STATISTICS   -   Inferential Statistics

Which of the following is a limitation of inferential statistics?

Togus Bash STATISTICS   -   Inferential Statistics

What is the purpose of a scatter plot in regression analysis?

Togus Bash STATISTICS   -   Inferential Statistics

In hypothesis testing, what does it mean to "reject the null hypothesis"?

Togus Bash STATISTICS   -   Inferential Statistics

What is the main characteristic of non-parametric tests?

Togus Bash STATISTICS   -   Inferential Statistics

Which of the following is an example of a Type II error?

Togus Bash STATISTICS   -   Inferential Statistics

What is the purpose of the Bonferroni correction?

Togus Bash STATISTICS   -   Inferential Statistics

What does a high p-value indicate?

Togus Bash STATISTICS   -   Inferential Statistics

In regression analysis, what does multicollinearity refer to?

Togus Bash STATISTICS   -   Inferential Statistics

What is the main goal of a regression analysis?

Togus Bash STATISTICS   -   Inferential Statistics

What does the term "effect size" refer to?

Togus Bash STATISTICS   -   Inferential Statistics

Which of the following tests is used for paired samples?

Togus Bash STATISTICS   -   Inferential Statistics

What is the purpose of a sample in inferential statistics?

Togus Bash STATISTICS   -   Inferential Statistics

What does a confidence interval of (10, 20) imply?

Togus Bash STATISTICS   -   Inferential Statistics

In a two-sample t-test, what assumption is made about the variances?

Togus Bash STATISTICS   -   Inferential Statistics

What is the main purpose of bootstrapping in statistics?

Togus Bash STATISTICS   -   Inferential Statistics

What does a 95% confidence interval mean?

Togus Bash STATISTICS   -   Inferential Statistics

Which of the following is an assumption of linear regression?

Togus Bash STATISTICS   -   Inferential Statistics

What is the purpose of a regression coefficient?

Togus Bash STATISTICS   -   Probability Distributions

What is the primary purpose of probability distributions?

Togus Bash STATISTICS   -   Probability Distributions

What is the primary purpose of probability distributions?

Togus Bash STATISTICS   -   Probability Distributions

Which of the following is a discrete probability distribution?

Togus Bash STATISTICS   -   Probability Distributions

What is the main characteristic of a binomial distribution?

Togus Bash STATISTICS   -   Probability Distributions

In a normal distribution, what is the relationship between the mean and median?

Togus Bash STATISTICS   -   Probability Distributions

What is the purpose of the standard normal distribution?

Togus Bash STATISTICS   -   Probability Distributions

Which of the following is a property of the Poisson distribution?

Togus Bash STATISTICS   -   Probability Distributions

What is the relationship between the mean and standard deviation in a normal distribution?

Togus Bash STATISTICS   -   Probability Distributions

In a geometric distribution, what does the parameter p represent?

Togus Bash STATISTICS   -   Probability Distributions

What is the purpose of the Central Limit Theorem?

Togus Bash STATISTICS   -   Probability Distributions

Which of the following is a continuous probability distribution?

Togus Bash STATISTICS   -   Probability Distributions

In a normal distribution, what does the 68-95-99

Togus Bash STATISTICS   -   Probability Distributions

What is the main assumption of the Poisson distribution?

Togus Bash STATISTICS   -   Probability Distributions

In a geometric distribution, what is the expected number of trials until the first success?

Togus Bash STATISTICS   -   Probability Distributions

What is the relationship between the normal and binomial distributions?

Togus Bash STATISTICS   -   Probability Distributions

In an exponential distribution, what does the parameter ? represent?

Togus Bash STATISTICS   -   Probability Distributions

What is the purpose of the Poisson approximation to the binomial distribution?

Togus Bash STATISTICS   -   Probability Distributions

In a hypergeometric distribution, what is the main assumption?

Togus Bash STATISTICS   -   Probability Distributions

What is the relationship between the mean and variance in an exponential distribution?

Togus Bash STATISTICS   -   Probability Distributions

In a normal distribution, what does the 95% confidence interval represent?

Togus Bash STATISTICS   -   Probability Distributions

What is the purpose of the Poisson process?

Togus Bash STATISTICS   -   Probability Distributions

In a binomial distribution, what is the probability mass function?

Togus Bash STATISTICS   -   Probability Distributions

What is the relationship between the normal and lognormal distributions?

Togus Bash STATISTICS   -   Probability Distributions

In a geometric distribution, what is the probability mass function?

Togus Bash STATISTICS   -   Probability Distributions

What is the purpose of the Poisson approximation to the binomial distribution when n is large and p is small?

Togus Bash STATISTICS   -   Probability Distributions

In a hypergeometric distribution, what is the probability mass function?

Togus Bash STATISTICS   -   Probability Distributions

What is the relationship between the mean and variance in a Poisson distribution?

Togus Bash STATISTICS   -   Probability Distributions

In an exponential distribution, what is the probability density function?

Togus Bash STATISTICS   -   Probability Distributions

What is the purpose of the normal approximation to the binomial distribution?

Togus Bash STATISTICS   -   Probability Distributions

In a geometric distribution, what is the expected number of failures before the first success?

Togus Bash STATISTICS   -   Probability Distributions

What is the relationship between the normal and uniform distributions?

Togus Bash STATISTICS   -   Probability Distributions

In a Poisson distribution, what is the probability mass function?

Togus Bash STATISTICS   -   Probability Distributions

What is the purpose of the lognormal distribution?

Togus Bash STATISTICS   -   Probability Distributions

In a hypergeometric distribution, what is the expected number of successes?

Togus Bash STATISTICS   -   Probability Distributions

What is the relationship between the normal and exponential distributions?

Togus Bash STATISTICS   -   Probability Distributions

In a binomial distribution, what is the expected number of successes?

Togus Bash STATISTICS   -   Probability Distributions

What is the purpose of the Central Limit Theorem in the context of probability distributions?

Togus Bash STATISTICS   -   Probability Distributions

In a normal distribution, what is the probability density function?

Togus Bash STATISTICS   -   Probability Distributions

What is the relationship between the Poisson and exponential distributions?

Togus Bash STATISTICS   -   Probability Distributions

In a geometric distribution, what is the variance?

Togus Bash STATISTICS   -   Probability Distributions

What is the purpose of the Poisson approximation to the binomial distribution when n is large and p is small?

Togus Bash STATISTICS   -   Probability Distributions

In a hypergeometric distribution, what is the variance?

Togus Bash STATISTICS   -   Probability Distributions

What is the relationship between the normal and lognormal distributions?

Togus Bash STATISTICS   -   Probability Distributions

In a Poisson distribution, what is the variance?

Togus Bash STATISTICS   -   Probability Distributions

What is the purpose of the normal approximation to the binomial distribution when n is large and p is close to 0

Togus Bash STATISTICS   -   Probability Distributions

In an exponential distribution, what is the cumulative distribution function?

Fani Warraich

? means here λ.

Muntaha Nasir STATISTICS   -   Time Series Analysis

What is the role of 'hyperparameter tuning' in time series forecasting?

Hyperparameter tuning involves adjusting model parameters to improve forecasting accuracy.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In the context of a time series, what does 'MA' stand for in an ARMA model?

'MA' stands for Moving Average, representing the dependency on past forecast errors.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which method can be used to decompose a time series into additive components?

STL (Seasonal-Trend Decomposition using LOESS) can decompose a time series into additive components.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What does the term 'autoregressive' imply in the context of time series models?

Autoregressive models regress the current value of the series on its past values.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which of the following techniques is used to handle missing data in time series?

Linear interpolation is a common technique for handling missing data in time series.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is the purpose of the 'Box-Cox transformation' in time series analysis?

The Box-Cox transformation is used to stabilize variance in time series data.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In a seasonal decomposition, what component represents the repeating patterns at fixed intervals?

The seasonal component captures repeating patterns at fixed intervals, such as months or quarters.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is 'overfitting' in the context of time series modeling?

Overfitting occurs when a model uses too many parameters, capturing noise rather than the underlying pattern.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which of the following is a non-parametric method for time series forecasting?

Neural Networks are non-parametric models that can capture complex patterns in time series data without assuming a specific model form.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is the primary goal of seasonal adjustment in time series analysis?

Seasonal adjustment aims to remove seasonal effects to better understand the underlying trends in the data.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In a Holt-Winters seasonal model, what does the 'gamma' parameter represent?

The 'gamma' parameter in a Holt-Winters model controls the smoothing of seasonal components.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which method smooths time series data to identify trends and seasonal components?

Exponential Smoothing methods smooth data to identify underlying trends and seasonal components.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In time series forecasting, what is 'backtesting'?

Backtesting involves using historical data to test the predictive accuracy of a forecasting model.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What does the PACF (Partial Autocorrelation Function) measure?

PACF measures the correlation between observations at different lags, removing the effects of shorter lags.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which model can capture volatility clustering in financial time series data?

GARCH models are used to capture volatility clustering, a common phenomenon in financial time series.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is the purpose of the KPSS test?

The KPSS (Kwiatkowski-Phillips-Schmidt-Shin) test is used to test for the stationarity of a time series.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In a time series context, what does 'cointegration' imply?

Cointegration implies that non-stationary time series variables have a long-term equilibrium relationship.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is the main purpose of the ADF test in time series analysis?

The Augmented Dickey-Fuller (ADF) test is used to test for stationarity in a time series.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which type of time series model includes multiple time series variables to capture their interactions?

VAR (Vector Autoregression) models capture the linear interdependencies among multiple time series.
Muntaha Nasir STATISTICS   -   Time Series Analysis

When applying a Fourier transform to a time series, what type of analysis are you performing?

Fourier transform is used to transform a time series into the frequency domain for frequency analysis.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which model is specifically designed to handle changing variance in time series data?

GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models are used to model time series with changing variance.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What does the 'Q' in the Box-Jenkins model represent?

In the Box-Jenkins methodology, 'Q' represents the number of moving average terms.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which of the following is a key assumption of stationarity in time series analysis?

Stationarity implies that the statistical properties of the time series do not change over time.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is the primary purpose of differencing a time series?

Differencing is used to transform a non-stationary series into a stationary one by subtracting the previous observation from the current observation.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In ARIMA models, what does the 'I' stand for?

The 'I' in ARIMA stands for 'Integration', which refers to the differencing of raw observations to allow for the removal of trends and seasonality.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which of the following methods is NOT used for model selection in time series analysis?

Principal Component Analysis (PCA) is a dimensionality reduction technique, not a model selection criterion for time series.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What does the Ljung-Box test assess in a time series?

The Ljung-Box test checks whether any of a group of autocorrelations of a time series are different from zero, indicating non-randomness.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In the context of an AR(p) model, 'p' stands for:

'p' denotes the number of lagged observations in the autoregressive model.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is the primary characteristic of a seasonal ARIMA (SARIMA) model?

SARIMA models incorporate both non-seasonal and seasonal factors in time series data.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is a key difference between ARMA and ARIMA models?

ARIMA models extend ARMA models by including an integration (differencing) step.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which method would you use to forecast a non-linear time series?

Neural Networks are well-suited for capturing non-linear relationships in time series data.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In a GARCH model, what does the conditional variance depend on?

GARCH models the conditional variance as a function of past squared observations (errors) and past variances.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which technique is commonly used to decompose a time series into trend, seasonal, and residual components?

STL (Seasonal-Trend Decomposition using LOESS) is used for decomposing a time series into seasonal, trend, and residual components.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is the Durbin-Watson test used for in time series analysis?

The Durbin-Watson test is used to detect the presence of autocorrelation in the residuals from a regression analysis.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In the context of time series, what does 'heteroscedasticity' refer to?

Heteroscedasticity refers to the presence of non-constant variance over time in a time series.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which type of plot is useful for identifying the presence of seasonality in a time series?

A seasonal subseries plot helps identify seasonal patterns in time series data.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What does 'RMSE' stand for in the context of model evaluation?

RMSE stands for Root Mean Square Error, a measure of the differences between predicted and observed values.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In a time series, what does 'differencing' aim to achieve?

Differencing is used to remove trend and achieve stationarity in a time series.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What does the term 'backshift operator' refer to in time series analysis?

The backshift operator shifts the series backward by one time period.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which method is suitable for capturing long-range dependencies in time series data?

Long Short-Term Memory (LSTM) networks are suitable for capturing long-range dependencies in time series data.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In time series analysis, what does 'white noise' refer to?

White noise is a series with no autocorrelation and a constant mean and variance.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is the key difference between an ARIMA and a SARIMA model?

SARIMA models extend ARIMA models by incorporating seasonal components.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which method is used to detect structural breaks in a time series?

The Chow test is used to detect structural breaks in time series data.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In time series forecasting, what is the purpose of using a holdout sample?

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