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T test

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What is the FIRST step in hypothesis testing?

a)

Collect data

b)

Set alpha level

c)

State the null and alternative hypotheses

d)

Compute test statistics

2.

A researcher wants to test whether a sample mean differs from a known population mean. Which hypotheses are correct?

a)

H0: μ₁ = μ₂ ; H1: μ₁ ≠ μ₂

b)

H0: μ = value ; H1: μ ≠ value

c)

H0: μ(d) = 0 ; H1: μ(d) ≠ 0

d)

H0: μ ≠ value ; H1: μ = value

3.

Which of the following best describes a paired-samples t-test?

a)

Compares two independent groups

b)

Compares one sample to a known value

c)

Compares the same participants across two conditions

d)

Compares more than two groups

4.

A study compares stress levels between nurses working day shift and night shift. Which test is most appropriate

a)

One-sample t-test

b)

Paired-samples t-test

c)

Independent-samples t-test

d)

Correlation

5.

What does the alpha level (α) represent?

a)

Probability that the null hypothesis is true

b)

Probability of making a Type I error

c)

Probability of making a Type II error

d)

The p-value of the test

6.

If α = 0.05 and p = 0.03, what should the researcher do?

a)

Fail to reject the null hypothesis

b)

Accept the null hypothesis

c)

Reject the null hypothesis

d)

Increase sample size

7.

A p-value of 0.02 means:

a)

There is a 2% chance the null hypothesis is true

b)

There is a 98% chance the alternative is true

c)

If the null hypothesis is true, results this extreme or more extreme would occur 2% of the time

d)

If the null hypothesis is true, results this extreme occur 2% of the time

8.

A researcher measures participants before and after a treatment. Which design is this?

a)

Between-subjects design

b)

Correlational design

c)

Within-subject design

d)

Cross-sectional design

9.

A study reports: t(30) = 2.10, p = 0.041, α = 0.05. What is the correct conclusion?

a)

Fail to reject H0

b)

Reject H0

c)

Accept H0

d)

Cannot determine

10.

Why is a within-subject design often preferred?

a)

It increases sample size

b)

It reduces variability by comparing participants to themselves

c)

It eliminates the need for hypothesis testing

d)

It Increases variability by comparing participants to themselves