Week 9 Revision Q's Flashcards

1
Q

If the sample data has a mean of 30 can you conclude that the mean of the population is 30?

A

No

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2
Q

A sample mean is 30 and the 95% Confidence interval is

26 – 34. Which is the correct interpretation of this finding?

A

We are 95% confident that the population mean lies between 26-34

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3
Q

A researcher wants to test whether there is a difference in anxiety levels in one group of athletes before and
after a relaxation intervention. Which type of analysis should he / she used

A

Dependent t-test

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4
Q

A researcher wants to examine whether minutes of vigorous
exercise per week significantly predicts percentage body fat.
Which type of analysis should he/she use?

A

Regression

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5
Q

If researcher sets an alpha level of 0.05, and
then determines that p = 0.02, should the null
hypothesis be rejected?

A

Yes

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6
Q

You run a correlation analysis using an alpha of 0.05 and find r = 0.18, p = 0.32. Which pair of conclusions is appropriate for this finding?

A

The correlation is not

significant; fail to reject the null hypothesis

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7
Q

A t-test on the mean concentration ability of males and females is significant at the 5% level. Which of the following is the correct interpretation?

A

The gender difference observed in the sample is unlikely to be due to chance

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8
Q

The p-value for a correlation analysis is < 0.001. Which if the following is the correct
interpretation?

A

There is very strong evidence of
a relationship between the two
variables

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9
Q

What does the p-value mean?

A

The probability of finding that magnitude of effect if there was no effect in the population.
The likelihood of the difference being down to chance

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10
Q

If in truth there is no difference between two
groups in our research BUT our results tell us
there is, what error have been committed?

A

Type 1

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11
Q

In any single application of the hypothesis testing

procedure, is it possible for the researcher to make both a Type I error and a Type II error at the same time?

A

No

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