The probability of committing a Type I error ____. Question a cannot be controll

Question

The probability of committing a Type I error ____.

Question a

cannot be controlled by the experimenter

is determined by the level of significance (, alpha) that one chooses

is determined by the sample size that one selects

is determined solely by the size of the treatment effect

Question b

In general, the null hypothesis ____.

Question 2 options:

is always assumed to be incorrect

is always stated in terms of sample statistics

states that the treatment has no effect

All of the other choices are correct.

Question c

A Type I error is defined as ____.

Question c options:

rejecting a false null hypothesis

failing to reject a true null hypothesis

rejecting a true null hypothesis

failing to reject a false null hypothesis

Question 4 (0.5 points)

If a treatment has a very small effect, then a hypothesis test evaluating the treatment effect is likely to ____.

Question 4 options:

correctly reject the null hypothesis

result in a Type II error

result in a Type I error

correctly fail to reject the null hypothesis

Question 5 (0.5 points)

Which of the following is FALSE about inferential statistics?

Question 5 options:

Inferential statistics are based on the probability of getting a particular outcome

Inferential statistics always starts with the assumption that there is an effect

Inferential statistics determine what types of conclusions researchers can make about a population based on their sample

All other answers are true

Question 6 (0.5 points)

If an outcome has a high probability of occurring if the null hypothesis is true, what decision should the researcher make?

Question 6 options:

Reject the null hypothesis

Retain the null hypothesis

None of the other answers is correct

Collect data

Question 7 (0.5 points)

In general, increasing the alpha level (for example from .01 to .05) will ____.

Question 7 options:

increase the likelihood of rejecting the null hypothesis and increase the risk of a Type I error

decrease the likelihood of rejecting the null hypothesis and increase the risk of a Type I error

increase the likelihood of rejecting the null hypothesis and decrease the risk of a Type I error

decrease the likelihood of rejecting the null hypothesis and decrease the risk of a Type I error

Question 8 (0.5 points)

Even if a treatment has no effect it is still possible to obtain an extreme sample that is very different from the population. What outcome is likely if this happens?

Question 8 options:

correctly reject the null hypothesis

reject the null hypothesis and make a Type I error

fail to reject the null hypothesis and make a Type II error

correctly fail to reject the null hypothesis

Question 9 (0.5 points)

A Type II error is defined as ____.

Question 9 options:

failing to reject a true null hypothesis

rejecting a true null hypothesis

failing to reject a false null hypothesis

rejecting a false null hypothesis

Question 10 (0.5 points)

Which of the following would be an example of a null hypothesis?

Question 10 options:

There is a high probability

There is a low probability

There is no effect

There is an effect

1)

cannot be controlled by the experimenter

2)

is determined by the level of significance (, alpha) that one chooses

3)

is determined by the sample size that one selects

4)

is determined solely by the size of the treatment effect

Explanation / Answer

Q1) Option B is Correct. is determined by the level of significance (, alpha) that one chooses

Q2)  Option C is Correct. states that the treatment has no effect

Q3) Option C is Correct. rejecting a true null hypothesis

Q4) Option B is Correct. result in a Type II error

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