Important MCQs Hypothesis Testing 1

by

The post is about MCQs Hypothesis Testing. There are 20 multiple-choice questions covering topics related to the basics of hypothesis testing, assumptions about one sample, two samples, and more than two sample mean comparison tests, significance level, null and alternative hypothesis, test statistics, sample size, critical region, and decision. Let us start with MCQs Hypothesis Testing Quiz.

Online MCQs about Hypothesis Testing with Answers

1. What does a two-sample hypothesis test determine?

 
 
 
 

2. Condition for applying the Central Limit Theorem (CLT) which approximates the sampling distribution of the mean with a normal distribution is?

 
 
 
 

3. What is the null hypothesis of a two-sample t-test?

 
 
 
 

4. Which of the following is an assumption underlying the use of the t-distributions?

 
 
 
 

5. Herbicide A has been used for years in order to kill a particular type of weed. An experiment is to be conducted in order to see whether a new herbicide, Herbicide B, is more effective than Herbicide A. Herbicide A  will continue to be used unless there is sufficient evidence that Herbicide B is more effective. The alternative hypothesis in this problem is

 
 
 
 

6. The _____ typically assumes that observed data does not occur by chance.

 
 
 
 

7. If we reject the null hypothesis, we might be making

 
 
 
 

8. What is the probability of a type II error when $\alpha=0.05$ ?

 
 
 
 

9. A parameter is a ————- quantity

 
 
 
 

10. The critical value of a test statistic is determined from

 
 
 
 

11. What is the first step when conducting a hypothesis test?

 
 
 
 

12. The null hypothesis is a statement that is assumed to be true unless there is convincing evidence to the contrary. The null hypothesis typically assumes that observed data occurs by chance.

 
 

13. For t distribution, increasing the sample size, the effect will be on

 
 
 
 

14. Which of the following statements describes the significance level?

 
 
 
 

15. Analysis of Variance (ANOVA) is a test for equality of

 
 
 
 

16. To conclude the null hypothesis, what two concepts are compared?

 
 
 
 

17. The t distributions are

 
 
 
 

18. $1 – \alpha$ is the probability of

 
 
 
 

19. Which of the following is a true statement, for comparing the t distributions with standard normal,

 
 
 
 

20. A data professional conducts a hypothesis test. They discover that their p-value is less than the significance level. What conclusion should they draw?

 
 
 
 

MCQs Hypothesis Testing with Answers

MCQs Hypothesis Testing Quiz with Answers
  • $1 – \alpha$ is the probability of
  • A parameter is a ———- quantity
  • If we reject the null hypothesis, we might be making
  • Herbicide A has been used for years in order to kill a particular type of weed. An experiment is to be conducted in order to see whether a new herbicide, Herbicide B, is more effective than Herbicide A. Herbicide A  will continue to be used unless there is sufficient evidence that Herbicide B is more effective. The alternative hypothesis in this problem is
  • Analysis of Variance (ANOVA) is a test for equality of
  • Which of the following is an assumption underlying the use of the t-distributions?
  • For t distribution, increasing the sample size, the effect will be on
  • The t distributions are
  • Condition for applying the Central Limit Theorem (CLT) which approximates the sampling distribution of the mean with a normal distribution is?
  • Which of the following is a true statement, for comparing the t distributions with standard normal,
  • What is the probability of a type II error when $\alpha=0.05$?
  • The critical value of a test statistic is determined from
  • The null hypothesis is a statement that is assumed to be true unless there is convincing evidence to the contrary. The null hypothesis typically assumes that observed data occurs by chance.
  • The ——– typically assumes that observed data does not occur by chance.
  • Which of the following statements describes the significance level?
  • What is the first step when conducting a hypothesis test?
  • A data professional conducts a hypothesis test. They discover that their p-value is less than the significance level. What conclusion should they draw?
  • What does a two-sample hypothesis test determine?
  • What is the null hypothesis of a two-sample t-test?
  • To conclude the null hypothesis, what two concepts are compared?
MCQs Statistics Hypothesis Testing Quiz

https://gmstat.com

https://rfaqs.com

Important MCQs Correlation Regression 5

by

The post is about MCQs correlation and regression. There are 20 multiple-choice questions covering topics related to the basics of correlation and regression analysis, best-fitting trend, least square regression line, interpretation of correlation and regression coefficients, and regression plot. Let us start with the MCQs Correlation Regression Quiz.

Please go to Important MCQs Correlation Regression 5 to view the test

MCQs Correlation Regression Analysis

MCQs Correlation Regression Analysis
  • In Regression Analysis $\sum\hat{Y}$ is equal to
  • In the Least Square Regression Line, $\sum(Y-\hat{Y})^2$ is always
  • Which one is equal to explained variation divided by total variation?
  • The best-fitting trend is one for which the sum of squares of error is
  • If a straight line is fitted to data, then
  • In Regression Analysis, the regression line ($Y=\alpha+\beta X$) always intersect at the point
  • In the Least Square Regression line, the quantity $\sum(Y-\hat{Y})$ is always
  • If all the values fall on the same straight line and the line has a positive slope then what will be the value of the Correlation coefficient $r$:
  • For the Least Square trend $\hat{Y}=\alpha+\beta X$
  • The regression line always passes through
  • The process by which we estimate the value of dependent variable on the basis of one or more independent variables is called
  • The method of least squares directs that select a regression line where the sum of the squares of the deviations of the points from the regression line is
  • A relationship where the flow of the data points is best represented by a curve is called
  • All the data points falling along a straight line is called
  • The predicted rate of response of the dependent variable to changes in the independent variable is called
  • The independent variable is also called
  • In the regression equation $Y=a+bX$, the $Y$ is called
  • In the regression equation $Y=a+bX$, the $X$ is called
  • The dependent variable in a regression line is
  • The correlation coefficient is the ———– of two regression coefficients.

https://gmstat.com

https://rfaqs.com

Statistics help: MCQs Correlation Regression Analysis

Best Correlation Regression Analysis MCQs 4

by

The post is about Correlation Regression Analysis MCQs. There are 20 multiple-choice questions. The quiz covers topics related to the coefficient of correlation, regression analysis, simple linear regression equations, interpretation of correlation, and regression coefficients. Let us start with the Correlation Regression Analysis MCQs Quiz.

Please go to Best Correlation Regression Analysis MCQs 4 to view the test

Online Correlation Regression Analysis MCQs with Answers

Online Correlation Regression Analysis MCQs
  • The value of the coefficient of correlation lies between
  • If the scatter diagram is drawn the scatter points lie on a straight line, then it indicates
  • In the model $Y= mX+ a\,\,\,$, $Y$ is also known as the:
  • The regression equation is the line with a slope passing through
  • If the regression equation is equal to $Y=23.6 – 54.2X$, then $23.6$ is the ———- while $-54.2$ is the ———- of the regression line.
  • The sample coefficient of correlation
  • If the equation of the regression line is $y = 5$, then what result will you take out from it?
  • Which of the following relationships holds
  • In regression equation $y=\alpha + \beta X + e$, both $X$ and $y$ variables are
  • If $R^2$ is zero, that is no collinearity/ Multicollinearity, the variance inflation factor (VIF) will be
  • The method of least squares finds the best fit line that ———- the error between observed & estimated points on the line
  • The predicted rate of response of the dependent variable to changes in the independent variable is called
  • The slope of the regression line of $Y$ on $X$ is also called
  • In a simple regression, the number of unknown constants are
  • In a simple regression equation, the number of variables are
  • If $Y=2+0.6x$ then the value of the slope will be
  • Which of the following can never be taken as the coefficient of correlation?
  • When $\beta_{yx}$ is positive, then $\beta_{xy}$ will be
  • If $Y=2+0.6X$ then the value of $Y$-intercept will be
  • If $r=0.6$ and $\beta_{yx}=1.8$ then $\beta_{xy} = ?$
Statistics MCQs Correlation Regression Analysis MCQs

https://rfaqs.com

https://gmstat.com