Stats tests

Question 1

What is required for a chi squared test?

Answer 1

1) Large sample size
2) Discrete data categories (like yes or no, heads or tails, red or blue)
3) Using raw counts (not percentages or rates)
4) A comparison of experimental and theoretical results

Question 2

What would a general hypothesis be for the chi squared test?

Answer 2

there is a significant difference between the observed and expected results
and that the difference is due to a factor other than chance

Question 3

What would a null hypothesis be for the chi squared test?

Answer 3

there is no significant difference between observed and expected results
and that any difference is due to chance alone

Question 4

When would you accept and reject the null hypothesis?

Answer 4

If the χ2 value is higher than the critical value at the chosen probability level, it suggests that the differences are not due to random chance, leading to the rejection of the null hypothesis.

We accept the null hypothesis when the χ2 value is lower than the critical value at the chosen probability level. This suggests that the differences between the observed and expected frequencies are due to chance.

Question 5

How do you calculate degrees of freedom in the chi squared test?

Answer 5

number of categories - 1