Hypothesis Testing & t-Value

Hypothesis Testing & t-Value

11th Grade

20 Qs

quiz-placeholder

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Hypothesis Testing & t-Value

Hypothesis Testing & t-Value

Assessment

Quiz

Mathematics

11th Grade

Medium

Created by

Zaica Atienza

Used 8+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

Calculate the degrees of freedom for a sample size of 25.

26

24

25

23

2.

MULTIPLE CHOICE QUESTION

30 sec • 2 pts

Determine the critical t-value for a two-tailed test with a significance level of 0.05 if n=5.

±2.776

±1.96

±3.291

±1.645

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Identify the t-value with a significance level of 0.01 and n=23.

2.508

2.500

1.321

1.319

4.

MULTIPLE CHOICE QUESTION

45 sec • 2 pts

Describe how to determine the t-value from the t-table.

Use the sum of the row and column values in the t-table to find the t-value.

Check the row for the desired confidence level and the column for degrees of freedom in the t-table.

Locate the intersection of the row for degrees of freedom (df) and the column for the desired confidence level in the t-table.

Calculate the average of the row and column values in the t-table.

5.

MULTIPLE CHOICE QUESTION

45 sec • 2 pts

Define the significance level in the context of hypothesis testing.

The significance level in hypothesis testing is the probability of rejecting the null hypothesis when it is actually true.

The significance level is the confidence level in the alternative hypothesis.

The significance level is the probability of accepting the null hypothesis when it is actually false.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

This type of distribution is used instead of the normal distribution when you have small samples (n<30).

Frequency distribution

Semi-normal distribution

t-distribution

z-distribution


7.

MULTIPLE CHOICE QUESTION

45 sec • 2 pts

Differentiate between one-tailed and two-tailed tests in hypothesis testing.

One-tailed tests have higher statistical power than two-tailed tests.

One-tailed tests focus on one specific direction of the effect, while two-tailed tests consider both sides of the distribution.

One-tailed tests focus on two specific directions of the effect, while two-tailed tests consider only one side of the distribution.

One-tailed tests are used for qualitative data, while two-tailed tests are used for quantitative data.

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