Question

Dr. Money wanted to determine whether there were differences between men and women in terms of the salaries that they earn. Dr. Money will need to use what kind of t-test?

Question 1 options:

	Between-subjects design t-test
	Independent samples t-test
	Two-sample t-test
	In the PenCast, all of the terms were used to describe the t-test appropriate for the scenario above
	Within subjects t-test

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Question 2 (1 point)

Dr. Bowles wanted to explore change in brain volume following a course of weekly exercise. She asked thirty participants to come in and get an MRI scan of the brain. Then all thirty participants were asked to exercise daily for 60 minutes everyday. They all came back 6 months later and had another brain scan done. What t-test should she use to explore the difference between initial brain volume and the brain volume after the 6-month course of exercise?

Question 2 options:

	Between-subjects design
	Within subjects design
	One sample t-test
	In the PenCast, all of the terms were used to describe the t-test appropriate for the scenario above

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Question 3 (1 point)

The top of the equation (the numerator) for an independent sample t-test is

Question 3 options:

	population mean difference minus sample mean difference
	sample mean difference minus population mean difference
	sample mean minus population mean
	population mean minus sample mean
	estimated standard error

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Dr. Roberts wants to examine the impact of energy drinks on energy levels. Dr. Roberts takes a baseline of energy levels for everyone in his group at 7am and then gives them all energy drinks and he then remeasures their energy levels at 9am. What type of design makes the most sense for this situation?

Question 1 options:

	Independent measures
	Between measures
	Within measures
	Two-sample design
	All of the above would work for this situation

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Question 2 (1 point)

Dr. Simon is trying to figure out whether to use a between measures or a within measures design. What is an advantage to using a within measures design?

Question 2 options:

	It would give him more control over extraneous variables
	Because you are only using one group of people, there are not significant differences between those at measurement one and those at measurement two (besides the impact of the independent variable)
	You potentially have to get fewer participants because each of those participants is being measured twice
	All of the above

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Answer 1

Solution:-

1) Two-sample t-test

2) Between-subjects design

3) sample mean difference minus population mean difference

1) Between measures