​A researcher conducts a hypothesis test to evaluate the effect of a treatment. The hypothesis test produces a z-score of z = 2.37. Assuming that the researcher is using a two-tailed test, what decision should be made?

An ANOVA test is conducted of the grades earned by students from a math professor, who taught 3 sections of the same class: morning, afternoon and evening. The decision was to Reject the null hypothesis. Does the test tell which mean is significantly different? yes O no

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The smaller the observed p-value, the more evidence you have against the null hypothesis. Select one: True False

It is hypothesized that there is a difference in job satisfaction between those who receive regular feedback on their job performance and those who receive irregular feedback." is an example of which type of hypothesis? a. Directional hypothesis b. Not a hypothesis c. Null hypothesis d. Non-directional hypothesis

According to the Minnesota Baccalaureate Psychomotor Skills Test (2008) your patient has significantly greater psychomotor skills than the average patient. Which of the following results would be appropriate to see with this finding? a-Z=1.36 (p=0.01) b-Z=5.67(p=0.08) c-Fail to reject the null d-Z= -1.98 (p=0.02) why is the answer a? and what is a trick to remember with p values? i understand that it is 0.05 or 5% chance of error

Using image attached    A. Fill in blanks    B. What are the null and alternative hypothesis?    C. Find the test statistic, z0       D. Find the P-Value

If a significance test gives p-value 0.005... A.. the effect of interest is practically significant B...We do have good evidence against the null hypothesis C...we do not have good evidence against the null hypothesis D...the null hypothesis is very likely to be true E.. The margin of error is 0.005

(c) Calculate the test statistic. d) Decide whether to reject or fail to reject the null hypothesis. Then interpret the decision in the context of the original claim.

You recently completed an experiment concerning the effects of carbs on happiness. One group of 11 people are assigned a high carb diet, another group of 11 people are assigned a moderate-high carb diet, another group of 11 people are assigned a moderate-low carb diet, and a final group of 11 people are assigned a low carb diet. If I find that I fail to reject the null hypothesis, what might my next step be? Group of answer choices Change my analysis and alpha to make the finding significant and then run post-hoc tests. 1. Run multiple dependent measures t-tests to see if there are any significant differences between particular groups 2. Run multiple independent samples t-tests to see if there are any significant differences between particular groups 3. Change my hypothesis to see if I can find something significant with a different hypothesis for this study 4. Run home and binge-watch Bridgerton because there is nothing else that should be done statistically