Prepare for Statistics Interview with iQwizz | Difficulty Level: Intermediate | Rating: 4.7

Please login before attempting the quiz

Question 1

In an AR(p) model, what does 'p' represent?

The seasonality index.
The number of future time steps to forecast.
The smoothing parameter.
The number of past time periods used for prediction.

Question 2

A Chi-square test is used to:

Determine if a sample mean is significantly different from a known population mean.
Analyze the variance within and between groups.
Compare the means of two groups.
Analyze the relationship between two categorical variables.

Question 3

A researcher wants to determine if a new drug reduces blood pressure more effectively than a placebo. They measure the blood pressure of the same group of patients before and after taking the drug and placebo (in random order). What test should they use?

ANOVA
One-sample t-test
Independent samples t-test
Paired t-test

Question 4

Principal Component Analysis (PCA) is primarily a ______ technique.

Classification
Clustering
Dimensionality Reduction
Regression

Question 5

In simple linear regression, what does the slope of the regression line represent?

The change in the dependent variable for a one-unit change in the independent variable
The average value of the dependent variable
The point where the regression line crosses the y-axis
The strength of the relationship between the variables

Question 6

When would you use a paired t-test instead of an independent t-test?

When comparing the means of the same group before and after a treatment.
When comparing the means of two independent groups.
When comparing the means of two groups with unequal variances.
When comparing the means of three or more groups.

Question 7

What is the range of the Pearson correlation coefficient?

-1 to 0
-1 to 1
0 to 1
0 to infinity

Question 8

A moving average model is best suited for forecasting time series data with which characteristic?

Strong seasonality
High volatility
A constant mean
Significant outliers

Question 9

What is a key assumption of autoregressive models?

The data has a constant mean and variance over time.
There is no correlation between past and future values.
The data is free from outliers and missing values.
The time series data exhibits strong seasonality.

Question 10

Which of the following statements is TRUE about multivariate analysis of variance (MANOVA)?

It examines the relationship between two continuous variables.
It is used for dimensionality reduction of categorical variables.
It analyzes the differences between groups on multiple dependent variables simultaneously.
It tests the difference in means between two groups on a single dependent variable.

Please login before attempting the quiz

Question 1

In an AR(p) model, what does 'p' represent?

The seasonality index.
The number of future time steps to forecast.
The smoothing parameter.
The number of past time periods used for prediction.

Question 2

A Chi-square test is used to:

Determine if a sample mean is significantly different from a known population mean.
Analyze the variance within and between groups.
Compare the means of two groups.
Analyze the relationship between two categorical variables.

Question 3

ANOVA
One-sample t-test
Independent samples t-test
Paired t-test

Question 4

Principal Component Analysis (PCA) is primarily a ______ technique.

Classification
Clustering
Dimensionality Reduction
Regression

Question 5

In simple linear regression, what does the slope of the regression line represent?

The change in the dependent variable for a one-unit change in the independent variable
The average value of the dependent variable
The point where the regression line crosses the y-axis
The strength of the relationship between the variables

Question 6

When would you use a paired t-test instead of an independent t-test?

When comparing the means of the same group before and after a treatment.
When comparing the means of two independent groups.
When comparing the means of two groups with unequal variances.
When comparing the means of three or more groups.

Question 7

What is the range of the Pearson correlation coefficient?

-1 to 0
-1 to 1
0 to 1
0 to infinity

Question 8

A moving average model is best suited for forecasting time series data with which characteristic?

Strong seasonality
High volatility
A constant mean
Significant outliers

Question 9

What is a key assumption of autoregressive models?

The data has a constant mean and variance over time.
There is no correlation between past and future values.
The data is free from outliers and missing values.
The time series data exhibits strong seasonality.

Question 10

Which of the following statements is TRUE about multivariate analysis of variance (MANOVA)?

It examines the relationship between two continuous variables.
It is used for dimensionality reduction of categorical variables.
It analyzes the differences between groups on multiple dependent variables simultaneously.
It tests the difference in means between two groups on a single dependent variable.

Statistics Questions

Please login before attempting the quiz

Question 1

Question 2

Question 3

Question 4

Question 5

Question 6

Question 7

Question 8

Question 9

Question 10

Please login before attempting the quiz

Question 1

Question 2

Question 3

Question 4

Question 5

Question 6

Question 7

Question 8

Question 9

Question 10

Login Account