BED NETS TO REDUCE MALARIA In a randomized controlled trial in Kenya, bed nets treated with insecticide were tested as a way to reduce malaria. In the study, subjects are divided into two groups. In group #1, among 343 infants using bed nets, 15 developed malaria. In group #2, among 294 infants not using bed nets, 27 developed malaria. Use a 0.05 significance level to test the claim that infants using bed nets develop less malaria than infants who do not use bed nets. Use the following steps: Step 1. Write the Claim, Null Hypothesis and Alternative Hypothesis in symbols. Step 2. Identify a Step 3. Check and identify the requirements for this test. Step 4. State the type of test (right-tail, left-tail, or two-tail test) and use the given test statistic to find the P-value (use the provided Standard Normal Distribution table, aka z-table, without rounding) Test statistic z = -2.44 Step 5. State your decision to either reject or fail to reject the null hypothesis and why. Step 6. Consider the claim and your decision and state the conclusion in the context of the problem. Step 7. Considering your conclusion from part 6, do bed nets seem to be effective in preventing malaria? Why or why not?

BED NETS TO REDUCE MALARIA In a randomized controlled trial in Kenya, bed nets treated with insecticide were tested as a way to reduce malaria. In the study, subjects are divided into two groups. In group #1, among 343 infants using bed nets, 15 developed malaria. In group #2, among 294 infants not using bed nets, 27 developed malaria. Use a 0.05 significance level to test the claim that infants using bed nets develop less malaria than infants who do not use bed nets. Use the following steps: Step 1. Write the Claim, Null Hypothesis and Alternative Hypothesis in symbols. Step 2. Identify a Step 3. Check and identify the requirements for this test. Step 4. State the type of test (right-tail, left-tail, or two-tail test) and use the given test statistic to find the P-value (use the provided Standard Normal Distribution table, aka z-table, without rounding) Test statistic z = -2.44 Step 5. State your decision to either reject or fail to reject the null hypothesis and why. Step 6. Consider the claim and your decision and state the conclusion in the context of the problem. Step 7. Considering your conclusion from part 6, do bed nets seem to be effective in preventing malaria? Why or why not?

Name: POSITIVE z ScoresNEGATIVE z ScoresTABLE A-2 (continued) Cumulative Ar
Uploaded: 2024-03-20T07:07:37.000Z
Channel: Bartleby
Description: POSITIVE z ScoresNEGATIVE z ScoresTABLE A-2 (continued) Cumulative Area from the LEFTTABLE A-2 Standard Normal (2) Distribution: Cumulative Area from the LEFT10 and2.575|る國器N西三 勇 BED NETS TO REDUCE MALARIAIn a randomized controlled trial in Kenya, b

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

When neither the subject nor those having contact with the subject know the treatment assignment, the study is called unbiased. double-blind. blind. statistically significant. randomized.
In a study of 420,107 cell phone users, 137 subjects developed cancer of the brain or nervous system. Test the claim of a somewhat common belief that such cancers are affected by cell phone use. That is, test the claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of 0.0340% for people who do not use cell phones. Because this issue has such great importance, use a 0.001 significance level. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method and the normal distribution as an approximation to the binomial distribution.
Trichotillomania is a psychiatric illness that causes its victims to have an irresistible compulsion to pull their own hair. Two drugs were compared as treatments for trichotillomania in a study involving 13 women. Each women took clomipramine during one time period and desipramine during another time period in a double-blind experiment. Scores on a trichotillomania-impairment scale, in which high scores indicate greater impairment, were measured on each women during time period. The average of the 13 measurements for clomipramine was 6.2; the average of the 13 measurements for desipramine as 4.2. (a) A paired t test was used to test whether the mean difference between these two drugs is 0, resulting in a test statistics t∗ = 2.47. Find the sample standard deviation Sd. (b) Find a 95% confidence interval for the mean difference between the two drugs and give the conclusion.
In a study of 420,100 cell phone users, 142 subjects developed cancer of the brain or nervous system. Test the claim of a somewhat common belief that such cancers are affected by cell phone use. That is, test the claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of 0.0340% for people who do not use cell phones. Because this issue has such great importance, use a 0.005 significance level. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method and the normal distribution as an approximation to the binomial distribution. Which of the following is the hypothesis test to be conducted? O A. Ho: p0.00034 O C. Ho: p+0.00034 OD. Ho: p= 0.00034 H1: p= 0.00034 H1: p#0.00034 O E. Ho: p> 0.00034 H1: p= 0.00034 O F. Ho: p= 0.00034 H,: p<0.00034 What is the test statistic? (Round to two decimal…
In a study of 420,141 cell phone users, 134 subjects developed cancer of the brain or nervous system. Test the claim of a somewhat common belief that such cancers are affected by cell phone use. That is, test the claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of 0.0340% for people who do not use cell phones. Because this issue has such great importance, use a 0.001 significance level. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method and the normal distribution as an approximation to the binomial distribution. Which of the following is the hypothesis test to be conducted? Ho: p 0.00034 D. Ho: p0.00034 H₁: p = 0.00034 F. Ho: p > 0.00034 H₁: p = 0.00034
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.
The calculations for a factorial experiment involving four levels of factor A, three levels of factor B, and three replications resulted in the following data: SST = 271, SSA = 22, SSB = 24, SSAB = 170. Set up the ANOVA table and test for any significant main effect and may interaction effect. use a= .05.
Popular Diets. In the article “Comparison of the Atkins, Ornish, Weight Watchers, and Zone Diets for Weight Loss and Heart Disease Risk Reduction” (Journal of the American Medical Association, Vol. 293, No. 1, pp. 43–53), M. Dansinger et al. conducted a randomized trial to assess the effectiveness of four popular diets for weight loss. Overweight adults with average body mass index of 35 and ages 22–72 years participated in the randomized trial for 1 year. The weight losses, in kilograms, based on the results of the experiment are given on the WeissStats site. Negative losses are gains. WW = Weight Watchers. a. Obtain individual normal probability plots and the standard deviations of the samples. b. Perform a residual analysis. c. Use your results from parts (a) and (b) to decide whether conducting a one-way ANOVA test on the data is reasonable. If so, also do parts (d) and (e). d. Use a one-way ANOVA test to decide, at the 5% significance level, whether the data provide sufficient…
The calculations for a factorial experiment involving four levels of factor A, three levels of factor B, and three replications resulted in the following data: SST = 280, SSA = 26, SSB = 23, SSAB = 175. Set up the ANOVA table and test for any significant main effects and any interaction effect. Use a = .05.
In the previous year, 40% of women over the age of fifty had regularly scheduled mammograms. Following last year's test, a campaign was initiated to encourage women to be tested regularly. This year, a cancer research group surveys a random sample of 450 women, and 195 respond affirmatively. With a 5% significance level, test to see if the campaign was effective.
Use an ANOVA with ? = 0.05 to determine whether there are any significant differences among the three treatment means. If results are significant what is the effect size? Report results in APA format A developmental psychologist is examining the development of language skills from age 2 to 4. Three different groups are obtained, one for each age, with n = 16 children in each group. Each child is given a language-skills assessment test. The resulting data were analyzed with an ANOVA to test for mean differences between age groups. The results of the ANOVA are presented in the following table. Fill in all missing values. N = , n = , K = Source SS df MS F Between Txt 20 Within Txt Total 200