If you calculate a value of pearson's correlation coefficient and it is .25, what can you conclude?

Question 4 options:

That the sample mean is .25 standard deviation units away from the population mean

That there is a strong, positive correlation between two variables

That there is a very weak, if any, correlation between two variables

That there is a moderate correlation between two variables

If you calculate a chi-square value of 22.69 and a 4x5 table, testing the null at a .05 level of significance, what would you do to the null hypothesis?

Question 5 options:

Fail to reject the null hypothesis; Calculated chi-square does not exceed value of critical chi-square

Reject the null hypothesis; Calculated chi-square exceeds value of critical chi-square

Fail to reject the null hypothesis; Calculated chi-square exceeds value of critical chi-square

Reject the null hypothesis; Calculated chi-square does not exceed value of critical chi-square

Pearson's correlation coefficient can have both positive and negative values

Question 6 options:

True

False

If you calculate a value of Pearson's correlation coefficient and it is .85, what can you conclude?

Question 7 options:

That the sample mean is .85 standard deviation units away from the population mean

That there is a strong, positive, significant correlation between two variables

That there is a strong, positive correlation between two variables

That there is a moderate correlation between two variables

What does it mean to have a positive correlation between two variables?

Question 8 options:

As one variable decreases the other increases

There is a weak correlation between the two variables

There is a strong correlation between the two variables

As one variable increases the other increases as well

What does it mean to have a negative correlation between two variables?

Question 9 options:

There is a strong correlation between two variables

As one variable increases the other increases as well

There is a weak correlation between the two variables

As one variable decreases while the other increases, and vice versa

Which of the following statements isnot true?

Question 10 options:

T-tests for dependent samples are used when examining the same sample measured twice

None of these are true

Chi-square can be calculated with nominal-level data

Values for r can never be negative