MORE BENEFITS OF EATING ORGANICUsing specific data, we find a significant difference in the proportion of fruit flies surviving after 13 days between those eating organicpotatoes and those eating conventional (not organic) potatoes. This exercise asks you to conduct a hypothesis test using additionaldata. In this case, we are testingwhere p, and p, represent the proportion of fruit flies alive at the end of the given time frame of those eating organic food and thoseeating conventional food, respectively. Use a 5 % significance level.Effect of Organic Soybeans After 5 DaysAfter 5 days, the proportion of fruit flies eating organic soybeans still alive is 0.9, while the proportion still alive eating conventionalsoybeans is 0.83. The standard error for the difference in proportions is 0.023.What is the value of the test statistic?Round your answer to two decimal places.What is the p-value?Round your answer to three decimal places.p-value= i!What is the conclusion?Ho: Po PeHa: Po > Pe!

Given that, The p0 represents the proportion of fruit files alive at the end of the given time frame…

Answered: MORE BENEFITS OF EATING ORGANIC Using…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A clinical trial is conducted comparing a new pain reliever for arthritis to a placebo. Participants are randomly assigned to receive the new treatment or a placebo, and the outcome is pain relief within 30 minutes. The data are shown in Table 7–8. Is there a significant difference in the proportions of patients reporting pain relief? Run the test at a 5% level of significance. new med 44 76 Placebo 21 99
A study is designed to investigate whether there is a difference in response to various treatments in patients with Rheumatid arthritis. The outcome is the patient's self reported effect of treatment. The data are shown below. Is there a significnt difference in effect of treatment? Run the test at a 5% level of significance. Symptoms worsened no effect symptoms total improved Treatment 1 22 14 14 50 Treatment 2 14 15 21 50 Treatment 3 9 12 29 50
Don't need help with first part of a, got that figured out. Recall that small effects may be statistically significant if the samples are large. A study of small-business failures looked at 147 food-and-drink businesses. Of these, 103 were headed by men and 44 were headed by women. During a three-year period, 15 of the men's businesses and 6 of the women's businesses failed. (a) Find the proportions of failures for businesses headed by men (sample 1) and businesses headed by women (sample 2). These sample proportions are quite close to each other. p̂men = p̂women = Give the P-value for the z test of the hypothesis that the same proportion of women's and men's businesses fail. (Use the two-sided alternative.) The test is very far from being significant. (Round your test statistic to two decimal places and your P-value to four decimal places.) z = P-value = (b) Now suppose that the same sample proportions came from a sample of 30 times as large. That is, 180 out of…
You are conducting a study to see if the proportion of voters who prefer candidates a is significantly different from 0.6. Thus you are performing a two-tailed test. Your sample data produce the test statistics z=-1.65. Find the p-value accurate to 4 decimal places
Q2 A study was conducted to test the effect of melatonin on female dementia patients. A random sample of 10 patients was given a dose of 2.5 mg of melatonin daily, while a control group of 10 patients was given a placebo. The data below are the subjective well-being scores for each of the patients after two months on the assigned treatment. Higher scores indicate greater well-being. Is there a difference in mean well-being score between the two treatments? Assume Equal Variances. Run the test at a 5% level of significance.  1 ) the appropriate null and alternative hypotheses ( 2) the appropriate test ); 3) the decision rule ; 4) the calculation of the test statistic, 5) your conclusion including a comparison to alpha or the critical value, What do the results mean?
When comparing two independent population means, if n1 = 13 and n2 = 10, degrees of freedom for the t statistic is 22. %3D True or False True False
comparison of the precisions of two machines developed for extracting juice from oranges is to be made using the following data. Is there sufficient evidence to indicate that there is a difference in the precision of the two machines at the 5% level of significance? Machine A Machine B s2 = 1.4 ounces2 s2 = 3.1 ounces2 n=25 n=20
A researcher gathered a sample of participants who volunteered for a studying of phobias. She measured anxiety level of participants as they viewed photos of spiders and again when they viewed puppies. Which statistical test is appropriate for this study and why?
You are conducting a study to see if the proportion of voters who prefer Candidate A is significantly more than 0.46. Your sample data produce the test statistic z=1.883. Find the p-value accurate to 4 decimal places.
A small pilot study is conducted to investigate the effect of a nutritional supplement on total body weight. Six participants agree to take the nutritional supplement. To assess its effect on body weight, weights are measured before starting the supplementation and then after 6 weeks. The data are shown below. Is there a significant increase in body weight following supplementation? Run the test at a 5% level of significance. Demonstrate the five steps for hypothesis testing and explain your results. Subject Initial Weight Weight after 6 Weeks 1 155 157 2 142 145 3 176 180 4 180 175 5 210 209 6 125 126
A study is designed to investigate whether there is a difference in response to various treatments in patients with Rheumatoid arthritis. The outcome is the patient’s self-reported effect of treatment. The data are shown below. Is there a significant difference in effect of treatment? Run the test at a 5% level of significance. Symptoms Worsened No Effect Symptoms Improved Total Treatment 1 22 14 14 50 Treatment 2 14 15 21 50 Treatment 3 9 12 29 50 Using the data above, suppose we focus on the proportions of patients who show improvement. Is there a statistically significant difference in the proportions of patients who show improvement between treatments 1 and 2? Run the test at a 5% level of significance.
As an occupational health epidemiologist you are required to measure the effect of stress on the workers in your manufacturing plant. Two different tests previously developed to measure stress in industrial workers are selected: stress test alpha and stress test delta. The sensitivity and specificity of each test are shown below. Which test generates the greatest proportion of false negatives? Stress Test Alpha Stress Test Delta Sensitivity = 60% 75% M Specificity = 95% 90% Stress Test Alpha Stress Test Delta

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