chi square

Question 1

step 1?

Answer 1

calculate the expected frequencies:

total of row cells x total of columns cells
divided by the overall total

Question 2

step 2?

Answer 2

place the observed frequencies (a,b,c,d) in a table alongside the expected frequencies and calculate the difference between the two frequencies(fo-fe)

Question 3

step 3?

Answer 3

square the difference(fo-fe)squared

Question 4

step 4?

Answer 4

Divide the squared difference for each cell by the expected frequencies

Question 5

step 5?

Answer 5

Add up all the ecected values from step 4 to get the calucted chi squared value

Question 6

step 6

Answer 6

calullate the degrees of freedom-
(number of rows-1)x(number of columns-1)

Question 7

FINAL STEP 7

Answer 7

compared the calucated value of chi square to the critical value for the alternative hypothesis to be accepeted we need the calucated value to be higher than the critical.

CHI IS HIGH AND SO IS RHO,ALL THE REST ARE LOW

Question 8

give to reasons for the choice of chi-square test in this test

Answer 8

-One reason was that the data collected was nominal(e.g explain how the data is nominal)
-another reason is that the test measures differences ,and the study was to see if there was a difference in how the image is perceived.
-3rd reason is that chi-square can only be used to test if the results are significant if it is the independent measures design which was used which in this case it was.