choosing a statistical test

Question 1

what are the three factors when choosing a statistical test?

Answer 1

When choosing an inferential statistical test you have to think about three factors:
● The design of the study - Did it involve an unrelated design which is of the independent groups design? Did it involve a related design which could be either using the repeated measures or matched pair experimental design?
● The level of data collected during the study - either ordinal, nominal or interval.
● Whether a difference or correlation is being measured

Question 2

what are the levels of measurement?

Answer 2

-nominal data
-ordinal data
-interval data

Question 3

what is nominal data?

Answer 3

refers to a type of data that is in the form of categories. It is discrete- one item can only appear in one category. It does not enable sensitive analysis as it does not yield a numerical result for each participant.

Question 4

what is ordinal data?

Answer 4

refers to a type of data that is in the form of categories. It is discrete- one item can only appear in one category. It does not enable sensitive analysis as it does not yield a numerical result for each participant. ordinal data does not have equal intervals between each unit. ordinal data also lacks precision because its based on subjective opinion rather than objective measures.

Question 5

what is interval data?

Answer 5

refers to the type of data that is based on numerical scales which include equal units of precisely defined size. This is the most sophisticated form of data as it is based on objective measures. It is needed for the use of a parametric test.

Question 6

what are the appropriate measures for each level of data?

Answer 6

nominal:
measures of central tendency- mode
ordinal:
meaures of central tendency- median
measures of dispersion- range
interval:
measures of central tendency- mean
measures of dispersion- standard deviation

Question 7

what is the rule of R?

Answer 7

Rule of R - If there is an R in the name of the statistical test the calculated value has to be greater or equal to the critical value for the result to be significant. If this is the case then the null hypothesis can be rejected and the alternative hypothesis is supported. If there is no R in the test’s name then the calculated value has to be less than or equal to the critical value for it to be significant.

Question 8

the table as well the carrots thingy idk use AI maybe??????