An ANOVA is used to determine whether significant difference exist, and post tests are used to determine exactly which treatment means are significantly different. Question 17 options: True False

A researcher is testing the effect of one independent variable using three treatment conditions. She compares three group means where there are different people in each group. It is best for her to use which type of statistical analysis?

Use the following information to answer the question. Researchers want to test whether the color of a vehicle ticketed for speeding has an effect on the amount of the ticket. Four vehicle colors were used for the study--red, white, black, and silver. Thirty vehicles were randomly assigned to each group. Use the output below to answer the question.   Choose the correct conclusion for the hypothesis that vehicle color affects the amount of a speeding ticket. Assume all ANOVA test conditions have been satisfied.   a) Reject H0. The vehicle color has no effect on the amount of the speeding ticket. b) Fail to reject H0. The vehicle color has no effect on the amount of the speeding ticket. c) Reject H0. The vehicle color has an effect on the amount of the speeding ticket. d) Fail to reject H0. The vehicle color has an effect on the amount of the speeding ticket.

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?

The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 900 men and 400 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Q Women who agree Women who disagree Gender of Interviewer Man 555 345 Woman 318 82 Identify the null and alternative hypotheses. Choose the correct answer below. A. Ho: The proportions of agree/disagree responses are the same for the subjects interviewed by men and the subjects interviewed by women. H₁: The proportions are different. B. Ho: The proportions of agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H₁: The proportions are the same. OC. Ho: The response of the subject and the gender of the subject are…

Anterior cruciate ligament (ACL) injuries occur most frequently in planting and cutting sports such as basketball, soccer, and volleyball.  A sports medicine researcher wants to test if female athletes are more likely to have an ACL injury than males.  He surveyed 50 collegiate programs that had both men’s and woman’s volleyball and asked them how many grade 3 ACL tears they had during the past season.  Which statistical test would be best to determine if there is a significant difference between groups?

Please see below. Only given one attempt at this.  People who sustain a concussion or a traumatic brain injury (TBI) are likely to experience sleep problems. Do these problems persist over time? Researchers recruited a sample of 31 patients who had their first TBI 18 months earlier and a control group of 42 otherwise similar individuals without prior TBIs. They compared sleep duration per 24 hours for the 2 groups. Which test is most appropriate for this scenario? A 2-sample test for means B 1-sample z-test for proportions C 2-sample test for proportions D matched-pairs  E 1-sample t-test for means

Below indicate whether the appropriate test would be an independent t-test, dependent t-test, One-way ANOVA, or z-test. A researcher is interested in whether people who own red cars, blue cars, or silver cars receive more speeding tickets.

Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.

Anterior cruciate ligament (ACL) injuries occur most frequently in planting and cutting sports such aa basketball, soccer, and volleyball. A sports medicine researcher wants to test if female athletes are more likely to have an ACL injury than males. He surveyed 50 collegiate programs that had both men's and woman's volleyball and asked them how many grade 3 ACL tears they had during the past season. Which statistical test would be best to determine if there is a significant diffence between groups? One sample t test  Dependent samples t test Independent samples t test ANOVA