Effect size is most important when we reject the null hypothesis fail to reject the null hypothesis perform a two-directional hypothesis test O perform a hypothesis test O OO
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- A hypothesis test result is considered to be statistically significant only when?Indentify the test statistic for this hypothesis test.If a hypothesis test produces a z-score in the critical region, which decision should be made? a. fail to reject the alternative hypothesis b. fail to reject the null hypothesis c. reject the alternative hypothesis d. reject the null hypothesis
- If a hypothesis test produces a z-score in the critical region, what decision should be made? a. Reject the alternative hypothesis b. Fail to reject the alternative hypothesis c. Reject the null hypothesis d. Fail to reject the null hypothesisPlease explain: What kind of a study can be measured by an independent samples t-test? What kind of a study can be measured by a dependent (paired) samples t-test? Give an example of a null hypothesis for an independent samples t-test: Give an example of a null hypothesis for a dependent (paired) samples t-test:A researcher is studying the effects of his newly created lens on vision. He samples 9 people with poor vision and measures their visual distance (in feet) with the lens and then without the lens. Did people’s vision with the lens differ from their vision without? Participant # With Lens Without Lens 1 8 14 2 6 17 3 9 12 4 7 11 5 5 12 6 9 18 7 8 13 8 9 7 9 7 13 What kind of analysis will you use? Why? State the null and alternative hypothesis. Check your assumptions. Explain why each of them are or are not met. Sketch a distribution and shade the rejection region(s), including the corresponding critical value(s). Using R, calculate your test statistic and interpret the results of your test. (Don’t forget your 95% confidence interval and screenshots of your work!) What do you conclude about the null hypothesis? Are there significant differences?
- A shopkeeper wonders if number of their female and male customers are equal or not. They count the customers of each gender for a day, they find that 48 females and 53 males visit the shop. Make a hypothesis test to decide if number of females and males are significantly different from each other or not. Report a p-value for significance.A two-tailed hypothesis test is being used to evaluate a treatment effect with α = .05. If the sample data produce a z-score of z = 1.65, then what is the correct decision? Select one: a. Fail to reject the null hypothesis and conclude that the treatment has no effect. b. Fail to reject the null hypothesis and conclude that the treatment has an effect. c. Reject the null hypothesis and conclude that the treatment has an effect. d. Reject the null hypothesis and conclude that the treatment has no effect.Need help writing a null hypothesis for the bivariate relationship shown in the SPSS output.