In a chi-square test, if you are able to reject the null hypothesis at alpha = .05, you can conclude: a) there is no association between the variables b) there is some association between the variables c) there is a very weak association between the variables d) there is a very strong association between the variables   The degrees of freedom for a chi-square test for a two way crosstab with four rows and three columns is: a) 9 b) 6 c) 12 d) 7   If we conducted a hypothesis test to determine if there is a linear relationship between postnatal depression scores and antenatal depression scores then which of the following would constitute a Type 2 error a) Decide that there is no relationship between the postnatal and antenatal depression scores when a significant relationship does exist.   b) Decide that there is a significant relationship between the postnatal and antenatal depression scores when there is not.

MATLAB: An Introduction with Applications
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In a chi-square test, if you are able to reject the null hypothesis at alpha = .05, you can conclude:

a) there is no association between the variables
b) there is some association between the variables
c) there is a very weak association between the variables
d) there is a very strong association between the variables
 
The degrees of freedom for a chi-square test for a two way crosstab with four rows and three columns is:

a) 9
b) 6
c) 12
d) 7
 
If we conducted a hypothesis test to determine if there is a linear relationship between postnatal depression scores and antenatal depression scores then which of the following would constitute a Type 2 error

a) Decide that there is no relationship between the postnatal and antenatal depression scores when a significant relationship does exist.
 
b) Decide that there is a significant relationship between the postnatal and antenatal depression scores when there is not.
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