Chi squared test

Question 1

What does chi squared need

Answer 1

Normal data, test of difference independent groups, only used with frequency data

Question 2

Steps in how to figure out chi squared

Answer 2

1) State Hr (one or two tailed)
2) Place frequency data in table and calculate totals
3) Calculate expected frequency for each cell = row total x column total / overall total
4) Subtract observed frequency by expected frequency ( o - e)
5) Square (o - e)
6) Divide (o - e)2 by expected value
7) Add up all resulting figures

Question 3

How to find critical value of chi squared using table of numbers

Answer 3

1) Level of significance (0.05)
2) Look at one or two tailed hypothesis
3) Degrees of freedom (row minus 1) x (column - 1)
E.g. if table has 2 columns and rows df would be 2

Question 4

How to write chi squared conclusion

Answer 4

1) Name test, parameters and critical value
“For a chi squared test, a 2 tailed hypothesis, df is 1 and p < 0.01, the critical value is 6.64”
2) Observed value
“Our observed value was 7.1”
3) Results significancy
“Since the observed value is more than the critical value, the results are significant at the p < 0.01 level. Consequently, we reject the null hypothesis and accept the research hypothesis”
4) What results mean
“As such, there is a significant difference in politeness based on gender where girls are more polite than boys”

Question 5

What was our chi squared conclusion

Answer 5

For a chi squared test, a 2 tailed hypothesis, df = 1 and p <0.01, the critical value is 6.64
Our observed value of chi squared was 7.1
Since the observed value is more than the critical value, the results are significant at the p < 0.01 level, consequently we reject the null hypothesis and accept the research hypothesis
As such, there is a significant difference in politeness based on gender, where girls are more polite than boy