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TESTING OF HYPOTHESIS – PARAMETIRC TESTS

Authored by BANUMATHI R

Mathematics

2nd Grade

Used 2+ times

TESTING OF HYPOTHESIS – PARAMETIRC TESTS
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9 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is hypothesis testing?

A technique for collecting data from a population

A method used to prove a theory without any evidence

A process for estimating the mean of a sample

A statistical method used to make inferences about a population parameter based on sample data.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are parametric tests?

Parametric tests are only used for small sample sizes

Parametric tests do not require any assumptions about the population parameters

Parametric tests are used for non-normal distributions

Parametric tests are statistical tests that make certain assumptions about the population parameters.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Give an example of a parametric test.

Mann-Whitney U test

t-test

ANOVA

Chi-square test

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of hypothesis testing?

To make inferences about a population parameter based on sample data.

To guess randomly about the population parameter

To make assumptions without any evidence

To prove that the sample data is always accurate

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do we determine the significance level in hypothesis testing?

By asking a magic eight ball

By setting it at a predetermined value, such as 0.05

By consulting a horoscope

By flipping a coin

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the steps involved in hypothesis testing?

Collecting data, choosing test statistic, determining significance level, calculating p-value, making decision, interpreting results

Formulating null and alternative hypotheses, choosing test statistic, determining significance level, calculating test statistic, making decision, interpreting results

Selecting sample, conducting survey, analyzing data, drawing conclusion, presenting findings

Formulating hypothesis, conducting experiment, analyzing data, drawing conclusion, publishing results

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Explain the concept of Type I error in hypothesis testing.

Type I error occurs when the alternative hypothesis is rejected when it is actually true.

Type I error occurs when the null hypothesis is accepted when it is actually false.

Type I error occurs when the null hypothesis is rejected when it is actually true.

Type I error occurs when the sample size is too small to make a conclusion.

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