Testing of Hypothesis

Testing of Hypothesis, Hypothesis testing, Independent t test, Independent z test, Analysis of variance, ANOVA, Comparison tests

Easy Hypothesis Testing Questions MCQs 7

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Online MCQs Hypothesis Testing Questions with Answers. The Hypothesis Testing Quiz is important for the preparation of examinations and different statistical job tests in Government/ Semi-Government or Private Organization sectors. These tests are also helpful in getting admission to different colleges and Universities.

Online MCQs about Hypothesis Testing with Answers

1. One-sided and two-sided tests are based on

 
 
 
 

2. In testing of the hypothesis, the sampling distribution of the test statistics is based on the assumption that

 
 
 
 

3. Which of the following is not the composite hypothesis

 
 
 
 

4. If the population standard deviation is not known and the sample size is large ($n\ge 30$) then the test statistic to be used is

 
 
 
 

5. The probability of rejecting a true null hypothesis is called

 
 
 
 

6. If the alternative hypothesis is of the form $H_1:\theta < \theta_0$ then the test will be

 
 
 
 

7. For testing of the hypothesis about population proportion, we use

 
 
 
 

8. The hypothesis that is tested for the possible purpose of rejection is called

 
 
 
 

9. Which of the following cannot be considered as a hypothesis ($H_0$)

 
 
 
 

10. The critical region is the part of the sampling distribution for which the null hypothesis is

 
 
 
 

11. In the t-test, we use

 
 
 
 

12. The probability of accepting the true null hypothesis is called

 
 
 
 

13. Statistical inference is divided into two major branches as given below

 
 
 
 

14. The alternative hypothesis may be of the form

 
 
 
 

15. The null hypothesis ($H_0$) is

 
 
 
 

16. The ———— of a test is the maximum probability with which we are willing to a risk of Type-I error.

 
 
 
 

17. Hypothesis testing and estimation are major classifications of

 
 
 
 

18. If a false hypothesis is accepted, it is called

 
 
 
 

19. If the alternative hypothesis is of the form, $H_1: \theta \ne \theta_0$ then the test will be

 
 
 
 

20. The null hypothesis always contains some sign of

 
 
 
 

Hypothesis Testing Questions MCQs

The goal of hypothesis testing is to assess the evidence against the null hypothesis (a statement about population also called claimed hypothesis). If the evidence is strong enough (based on the sample information), one can reject the null hypothesis and conclude that the alternative hypothesis is more likely to be true. However, it is important to remember that we never truly “prove” the alternative hypothesis; one can only reject the null hypothesis.

Hypothesis Testing Questions MCQs

  • Statistical inference is divided into two major branches as given below
  • The probability of accepting the true null hypothesis is called
  • The probability of rejecting a true null hypothesis is called
  • If a false hypothesis is accepted, it is called
  • Hypothesis testing and estimation are major classifications of
  • The hypothesis that is tested for the possible purpose of rejection is called
  • In testing of the hypothesis, the sampling distribution of the test statistics is based on the assumption that
  • Which of the following cannot be considered as a hypothesis ($H_0$)
  • The alternative hypothesis may be of the form
  • The null hypothesis always contains some sign of
  • Which of the following is not the composite hypothesis
  • The critical region is the part of the sampling distribution for which the null hypothesis is
  • The null hypothesis ($H_0$) is
  • One-sided and two-sided tests are based on
  • If the alternative hypothesis is of the form $H_1:\theta < \theta_0$ then the test will be
  • If the alternative hypothesis is of the form, $H_1: \theta \ne \theta_0$ then the test will be
  • If the population standard deviation is not known and the sample size is large ($n\ge 30$) then the test statistic to be used is
  • In the t-test, we use
  • For testing of the hypothesis about population proportion, we use
  • The ———— of a test is the maximum probability with which we are willing to a risk of Type-I error.
Hypothesis Testing Questions with Answers

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Inferential Statistics Tests List (2023)

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The following is the list of different parametric and non-parametric lists of the Inferential Statistics Tests List. A short description of each Inferential Statistics Test is also provided.

Inferential Statistics Tests: Parametric Statistics

Sr. No.Statistical TestShort Description of Inferential Test
1)Z testLarge sample test for one mean/average when sigma ($\sigma$) is known (or $n$ is large), population distribution is normal.
2)t testSmall sample test for one mean/average when sigma ($\sigma$) is unknown (and $n$ is small), population distribution is normal.
3)Z testLarge sample test for one proportion.
4)Z testSmall sample test for two means/averages when sigmas ($\sigma_1$ and $\sigma_2$) are unknown, samples are independent, and are from normal populations. The variances are NOT pooled.
5)t testSmall sample test for two means/averages when sigmas ($\sigma_1$ and $\sigma_2$) are unknown, samples are independent and are from normal populations. The variances are NOT pooled.
6)t testSmall sample test for two means/averages when sigmas ($\sigma_1$ and $\sigma_2$) are unknown, samples are independent and are from normal populations. The variances are NOT pooled.
7)t testA test for two means/averages for dependent (paired or related) samples where $d$ (The difference between samples) is normally distributed.
8)Z testLarge sample test for two proportions.
9)$\chi^2$Chi-square goodness of fit, or multinomial distribution., where each expected value is at least 5.
10)$\chi^2_{ii}$Chi-square for contingency tables (rows & columns) where each expected value is at least 5.
Either a test of independence, a test of homogeneity, or a test of association.
11)$\chi^2$Test for one variance or standard deviation.
12)F testTest for two variances or standard deviations for independent samples from the normal populations.
13)F (Anova)Test for three or more means for independent random samples from normal populations. The variances are assumed to be equal.
14)Tukey QA multiple comparison test for all pairs of means (usually for equal sample sizes).
15)Dunnett qA multiple comparison test for a control mean to other means.
16)Hartley H,
Bartlett,
Levene,
Brown-Forsythe,
O’Brien		Test for homoscedasticity, and homogeneity of variances.
17)Pearson $r$Pearson product-moment correlation coefficient.
18)SlopeTest on the slope of the linear regression line.
19)InterceptIntercept Test on the y-intercept of the linear regression line.

Inferential Statistics Tests: Non-Parametric Tests

The following is the list of non-parametric Tests with a short description of the tests.

Sr. No.Statistical TestsShort Description of Inferential Statistics Tests
1)Runs TestUsed to determine whether the sequence of data is random.
2)Mann-Whitney U TestAnalogous to Test # 5 from Parametric test list.
3)Sign TestAnalogous to Test # 2 from Parametric Test (Single sample Median Test). or Test # 7 from Parametric Test.
4)Wilcoxon Signed-Ranked TestSimilar to the sign test, but more efficient, analogous to Parametric Test # 7.
5)Kruskal-Wallis TestAnalogous to Parametric Test # 13.
6)Multiple Comparison TestAnalogous to Parametric Test # 14.
7)Spearmna $r_s$ Rank CorrelationAnalogous to Parametric Test # 15.

Advanced Inferential Statistics Tests

Following is the list of some advanced inferential Statistics tests with a short description of the test.

Sr. No. Statistical TestShort Description of Inferential Statistics Tests
1)Two-factor ANOVA With ReplicationInteraction is possible between two factors.
2)Two-factor ANOVA Without ReplicationOnly one observation per cell; no interaction effect is observed between the two factors.
3)One Datum StatUsed to compare one piece of data (datum) to a mean.
4)McNemar StAtUsed to test a 2 x 2 table of matched discordant pairs.
5)Two Poisson CountsUsed to compare two Poisson counts.
6)Two Regression SlopesUsed to compare two regression equation slopes.
7)Several Regression SlopesUsed to compare several regression equation slopes.
8)Multiple RegressionUsed to test a linear relationship with more than two variables.
9)Holgate StatisticUsed to determine spatial distribution.
Inferential Statistics Tests

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Important Online Hypothesis and Testing Quizzes (2024)

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The post contains a list of Online Hypothesis and Testing Quizzes from Statistical Inference for the preparation of exams and different statistical job tests in Government/ Semi-Government or Private Organization sectors. These tests are also helpful in getting admission to different colleges and Universities. All these online Hypothesis and Testing Quizzes will help the learner understand the related concepts and enhance their knowledge.

Click the links below to get started with Online Hypothesis and Testing Quizzes

Hypothesis Testing MCQs 10
MCQs on Statistical Inference 09MCQs Hypothesis Testing 08MCQs Hypothesis Testing 07
MCQs Hypothesis Testing 06MCQs Hypothesis Testing 05MCQs Hypothesis Testing 04
MCQs Hypothesis Testing 03MCQs Hypothesis Testing 02MCQs Hypothesis Testing 01
Online Quiz Hypothesis Testing

Most of the MCQs on this Post cover Estimate and Estimation, Testing of Hypothesis, Parametric and Non-Parametric tests, etc.

Hypothesis and Testing

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