A study is performed involving two therapies for people unable to walk from severe pain due to arthritis. In the study, 300 individuals were randomly given one of two therapies. Specifically, 125 were given Therapy A and 175 were given Therapy B. A total of 88 of the 300 individuals were able to walk with little to no pain, 32 from Therapy A group and 56 from Therapy B group. A significance test was performed for the following hypotheses resulted in a p-value of 0.1150: H0: Walking rates are the same for Therapy A and B Ha: Therapy B has a greater walking rate

A large clinical trial of the effect of diet on breast cancer assigned women at random to either a normal diet or a low-fat diet. To check that the random assignment did produce comparable groups, we can compare the two groups at the start of the study. Asked if there is a family history of breast cancer: 1276 of the 5964 women in the low-fat group and 1507 of the 7726 women in the control group said "Yes." If the random assignment worked well, there should not be a significant difference in the proportions with a family history of breast cancer. How significant is the observed difference? State: Is there evidence of a difference in the proportion of women with a family history of breast cancer between the treatment and control groups? Plan: Let pi be the proportion for the treatment group, and Pz the proportion for the control group. State the hypotheses for your test. Ha:Pi + P2 Solve: Give the value of the test statistic. Use the calculator. Select an answer ♥ Ho:pi = p2 What is the…

In the past 10 years, the prevalence of peanut allergies has doubled in Western countries. Is consumption or avoidance of peanuts in infants related to the development of peanut allergies in infants at risk? Subjects included infants between four and 11 months with severe eczema, egg allergy, or both but who did not display a preexisting sensitivity to peanuts based on a skin-prick test. The infants were randomly assigned to either a treatment that avoided consuming peanut protein or a treatment in which at least 6 grams of peanut protein were consumed per week. The response was the presence or absence of peanut allergy at 60 months of age. In the avoidance group containing 263 infants, 36 had developed a peanut allergy at 60 months of age, while in the consumption group containing 266 infants, five had developed a peanut allergy. George Du Toit et al., "Randomized trial of peanut consumption in infants at risk for peanut allergy," New England Journal of Medicine, 372 (2015), pp.…

A small pilot study is run to compare a new drug for chronic pain to one that is currently available. Participants are randomly assigned to receive either the new drug or the currently available drug and to report improvement in pain on a 5-point ordinal scare: 1= pain is much worse,2=pain is slightly worse,3=no change,4=pain improved slightly,5= pain much improved.Is there a significance difference in self reported improvement in pain? Use the Mann-Whitney U test with a 5% level of significance.       New Drug: 4 5 3 3 4 2       Standard Drug: 2 3 4 1 2 3

According to a recent poll, the percentage of Americans who would vote for the incumbent president is 53%. If a random sample of 100 people in New York results in 45% who would vote for the incumbent, test the claim that the percentage of people in New York who would vote for the incumbent president is different from 53%. Use the following results and a 0.10 significance level to state your decision about  H0. H0 : p=0.53 H1 : p≠0.53 test statistic: z = -1.6 p value = 0.1090

For an ANOVA comparing three treatment conditions, what is stated by the null hypothesis (HO)? Question 1 options: There are no differences between any of the population means. At least one of the three population means is different from another mean. All three of the population means are different from each other. None of the other choices is correct.

A researcher randomly assigns college freshmen to either of two experimental conditions. Because both groups consist of college freshmen, someone claims that it is appropriate to use a t test for the two related samples. Comments?

According to a Pew Research Center study, in May 2011, 33% of all American adults had a smart phone (one which the user can use to read email and surf the Internet). A communications professor at a university believes this percentage is higher among community college students. She selects 323 community college students at random and finds that 134 of them have a smart phone. In testing the hypotheses: Ho: p= 0.33 versus Ha: p > 0.33 Do the hypothesis test. Use a level of significance of a = 0.05; Use the unrounded values in Excel to find the answers for # 3 and #4. 1. I 4. Find the p-value.-- 5. The communication professor should the null hypothesis.

A new treatment for a certain disease is claimed to be effective in more than 80 % of cases . To test this claim the treatment was given to 100 randomly selected patients . The treatment was effective in 85 out of the 100 patients . What is the conclusion at a 5 % level of significance ? A.  Reject the null hypothesis .There is sufficient evidence to claim that the treatment is effective in more than 80 % of cases B.  Reject the null hypothesis .There is not sufficient evidence to claim that the treatment is effective in more than 80 % of cases C.  Fail to reject the null hypothesis. There is sufficient evidence to claim that the treatment is effective in more than 80 % of cases D.  Fail to reject the null hypothesis. There is not sufficient evidence to claim that the treatment is effective in more than 80 % of cases

In one study of smokers who tried to quit smoking with nicotine patch​ therapy, 40 were smoking one year after treatment and 32 were not smoking one year after the treatment. Use a 0.05 significance level to test the claim that among smokers who try to quit with nicotine patch​ therapy, the majority are smoking one year after the treatment. Do these results suggest that the nicotine patch therapy is not​ effective? Identify the test statistic for this hypothesis test.   The test statistic for this hypothesis test is   Identify the​ P-value for this hypothesis test.   The​ P-value for this hypothesis test is