7.4: Levels of measurement

Question 1

Outline one strength and one limitation of standard deviation (4 marks)

Answer 1

One strength of standard deviation is that it is a more sensitive measure of dispersion than the range

Question 2

Outline one strength and one limitation of standard deviation (4 marks).
One strength of standard deviation is that it is a more sensitive measure of dispersion than the range, why?

Answer 2

One strength of standard deviation is that it is a more sensitive measure of dispersion than the range, because all the scores in a set of data are used in its calculation

Question 3

Outline one strength and one limitation of standard deviation (4 marks).
One strength of the standard deviation is that it is a more sensitive measure of dispersion than the range, because all the scores in a set of data are used in its calculation.

One weakness of standard deviation

Answer 3

One weakness of standard deviation is that it is less meaningful if data is not normally distributed

Question 4

Outline one strength and one limitation of standard deviation (4 marks).
One strength of the standard deviation is that it is a more sensitive measure of dispersion than the range, because all the scores in a set of data are used in its calculation.

One weakness of standard deviation is that it is less meaningful if data is not normally distributed, if what?

Answer 4

One weakness of standard deviation is that it is less meaningful if data is not normally distributed, if the scores in a set of data are not arranged in a symmetrical fashion either side of the mean

Question 5

Distinguish between a Type I error and a Type II error (4 marks)

Answer 5

A Type I error occurs when a researcher claims support for the research hypothesis with a significant result when the results were caused by random variables

Question 6

Distinguish between a Type I error and a Type II error (4 marks).
A Type I error occurs when a researcher claims support for the research hypothesis with a significant result when the results were caused by random variables.

Answer 6

A Type II error occurs when the effect the researcher was attempting to demonstrate does exist, but the researcher claims there was no significance in the results/erroneously accepts the null hypothesis

Question 7

Distinguish between a Type I error and a Type II error (4 marks).
A Type I error occurs when a researcher claims support for the research hypothesis with a significant result when the results were caused by random variables.
A Type II error occurs when the effect the researcher was attempting to demonstrate does exist, but the researcher claims there was no significance in the results/erroneously accepts the null hypothesis.

Answer 7

The difference is that in a Type I error the null hypothesis is rejected when it is true and in a Type II error it is retained when it is false