The values of a chi-square test cannot be negative. True False No error is committed when the null hypothesis is rejecte
-
- Site Admin
- Posts: 899603
- Joined: Mon Aug 02, 2021 8:13 am
The values of a chi-square test cannot be negative. True False No error is committed when the null hypothesis is rejecte
The values of a chi-square test cannot be negative. True False No error is committed when the null hypothesis is rejected when it is false. True False When computing the F test value, you always place the larger variance in the numerator of the fraction. True False When the null hypothesis is rejected in the goodness-of-fit test, it means there is close agreement between the observed and expected frequencies. P O True
The values of a chi-square test cannot be negative. True False No error is committed when the null hypothesis is rejected when it is false. True False When computing the F test value, you always place the larger variance in the numerator of the fraction. True O False
which number from the output is the result of dividing the two sample variances? Your answer Which number from the output is compared to the significance level to check if the null hypothesis should be rejected? Your answer Are the samples independent or dependent? Your answer What would your conclusions be if the level of significance were initially set at 0.10? Your answer How many were in the study? Your answer
For the test, if g is unknown and n 2 30. one can substitute... fors chi-square t s X-bar To test the equality of two proportions, you would use a(n).... test. Chi-square The degrees of freedom for the goodness- of-fit test are 1 Sample size 2 0
which number from the output is the result of dividing the two sample variances? Your answer Which number from the output is compared to the significance level to check if the null hypothesis should be rejected? Your answer Are the samples independent or dependent? Your answer What would your conclusions be if the level of significance were initially set at 0.10? Your answer How many were in the study? Your answer