A trend in the data means that the experimenter:
rejected the null hypothesis at p < .05
rejected the null hypothesis at p < .01
did not reject the null hypothesis but came close to doing so.
none of the above.
A trend in the data means that the experimenter:
rejected the null hypothesis at p < .01
But sometime we may also take
Rejected the null hypothesis at p<0.05.
A trend in the data means that the experimenter: rejected the null hypothesis at p <...
If p-value is 0.11 the null hypothesis can be rejected at a = .05. the null hypothesis can be rejected at a =.10. the null hypothesis can be rejected at a =.01. none of the above. 问题8 19 The test statistic for testing significance of the one regression coefficient follows Normal Distribution. Student's t-distribution. O F distribution. Chi-squared distribution. 问题9 19 The test statistic for testing significance of the overall regression model follows Normal distribution. Student's t-distribution. F distribution. Chi-squared...
11. If the null hypothesis is rejected at a 05 significance level, it (a) must also be rejected at a.10 significance level. (b) might also be rejected at a .10 significance level. (c) must not be rejected at a.10 significance level. (d) none of the above lfte null hypothesis İs not rejected at a .05 significance level, it: (a) will also not be rejected at a.01 significance level. (b) might be rejected at a .01 significance level. (e) will be...
A test of hypothesis is conducted and the p-value is .11. This means we ______ A. Reject the null hypothesis at the .01 level B. Reject the null hypothesis at the .05 level but not the .01 level C. Reject the null hypothesis at the .10 level but not at the .05 level D. Fail to reject the null hypothesis at the .10 level
The null hypothesis must be rejected at a 5% level of significance. The null hypothesis must be rejected at a 1% level of significance. The null hypothesis must be rejected at both a 5% and a 1% level of significance. None of the above. same set For a hypothesis testing problem with a given data set, you have rejected the null hypothesis at a 10% level of significance. For the same data set,
When the null hypothesis is rejected: Op< alpha p > beta p < beta p > alpha
You need to interpret the results of a recent paired t-test. What does the following mean? The test statistic t-value = -1.47 and the p-value = 0.01. A.) The small p-value means there is great chance of getting data like observed here again. Because the p-value is so small, the null hypothesis cannot be rejected. This indicates the data provided enough evidence to not reject the null. The test statistic t-value of -1.47 means the data is 1.47 standard errors...
if a p - value is very small, this means If a P-value is very small, this means. A. The test statistic is not in the critical region B. You should fail to reject the null hypothesis C. You should reject the null hypothesis D. None of the above ОА ОВ С OD
For which of the given P-values would the null hypothesis be rejected when performing a level 0.05 test?
For the following values of X2 and df, would the null hypothesis be rejected if a significance level of α = 0.01 were used? (Use a table or technology.) (a) X2 = 34.52, df = 13 Yes, reject H0. No, fail to reject H0. (b) X2 = 39.25, df = 16 Yes, reject H0. No, fail to reject H0. (c) X2 = 25.61, df = 19 Yes, reject H0. No, fail to reject H0.
If a null hypothesis is rejected at the 0.10 significance level but not at the 0.05 significance level, then the p-value of the test is between 0.05 and 0.10. True or false?