13. (8 pts) An endocrinologist studying genetic and environmental effects on insulin production ofpancreatic tissue, raised five litters of experimental mice. At age 2 months he sacrificed the mice,dissected out the pancreatic tissue and treated the tissue specimens with a glucose solution. Theamount of insulin released from these specimens was recorded in pg/ml. Are there significantdifferences in insulin release among litters?1975572467353359106Litter415101481058023111

The question is about ANOVA Given : To find : Are the signif. diff. in insulin release among…

Answered: An endocrinologist studying genetic and…

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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Diagnostic Tests: Total Calcium U has been treated for tetany (severe muscle spasms). This condition is associated with an average total calcium level below 6 mg/dL (Reference: A Manual of Laboratory and Diagnostic Tests by F. Fischbach). Recently, the patient's total calcium tests gave the following readings (in mg/dL): ver the past 9.3 8.8 10.1 8.9 9.4 9.8 10.0 9.9 11.2 12.1 ) Use a calculator to verify that = 9.95 and s ) Find a 99.9% confidence interval for the population mean of total calcium in this patient's blood. L) Interpretation Based on your results in part (b), does it seem that this patient still has a calcium deficiency? Explain. 1.02.
Total plasma volume is important in determining the required plasma component in blood replacement therapy for a person undergoing surgery. Plasma volume is influenced by the overall health and physical activity of an individual. Suppose that a random sample of 50 male firefighters are tested and that they have a plasma volume sample mean of x = 37.5 ml/kg (milliliters plasma per kilogram body weight). Assume that ? = 7.20 ml/kg for the distribution of blood plasma.
“Passive and Active Smoke” in Appendix B includes cotinine levels measured in a group of nonsmokers exposed to tobacco smoke (n = 40, Mean = 60.58 ng>mL, s = 138.08 ng>mL) and a group of nonsmokers not exposed to tobacco smoke (n = 40, Mean = 16.35 ng>mL, s = 62.53 ng>mL). Cotinine is a metabolite of nicotine, meaning that when nicotine is absorbed by the body, cotinine is produced. Use a 0.05 significance level to test the claim that nonsmokers exposed to tobacco smoke have a higher mean cotinine level than nonsmokers not exposed to tobacco smoke. 1. Construct a confidence interval estimate of the difference betwen the mean continen levels fo the two groups of nonsmokers. What confidence level would be appropriate? 2. Find the margin of error E using the formula. 3. What is the confidence interval? Explain the meaning of the confidence interal and what the limit represents.
A study published by Babcock and Marks (2010) showed that the average full-time U.S. college student studied for μ = 14 hours per week (SD = 4.8 hours per week) in 2005. We want to know if this average has changed in the past 15 years. In other words, we are going to do a study in which we try to determine whether there has been an impact of the passage of time on the amount of time college students spend studying. We selected a sample of n = 64 of today’s college students and find that they spent an average of M = 12.5 hours per week studying. Does this sample indicate a significant change in the number of hours spent studying? Use a two-tailed test (this means non-directional hypothesis) with α = .05.
A researcher is interested in testing the relationship between smoking and BMI (kg/m2) in adults aged 30-45. In order to test this association, the researcher divides smoking into currently more than a pack a day, currently less than a pack a day, and never smokers. The following table represents the BMIs for each participant enrolled by their respective smoking category. Current Smoker (≥1pack/day) Current Smoker (<1 pack/day Never Smoked 26.7 29.4 22.1 29.4 28.6 30.4 24.3 27.4 21.3 28.4 23.2 26.4 21.6 20.1 19.7 27.4 20.6 19.8 26.8 19.7 21.6 36.4 19.6 22.3 31.5 21.6 24.3 27.4 21.5 *Continue as though all assumptions for ANOVA are met. A) Calculate the MSW and MSB for the data represented above. B) Carry out a formal test for a one-way analysis of variance among the groups and interpret your results.
A 2019 study surveyed Norwegian parents about their children's eating habits and taste sensitivities. We are interested in seeing if there is a relationship between sensitivity to sweetness and emotional overeating. The study reports an F* = 2.34 with dfb 3 and dfw = 96. How many levels of 'sensitivity to sweetness' were used in the study? How many subjects participated in the entire study?
A community has 60,000 inhabitants, 35,000 of which are female. Of the female population, 525 have been diagnosed with osteoporosis. What is the prevalence rate per 1,00p?
A researcher reports an F-ratio with df = 3, 36 from an independent-measures research study. Based on the df values, how many treatments were compared in the study and what was the total number of subjects participating in the study? O 4 treatments and 40 subjects O 2treatments and 35 subjects O 3 treatments and 37 subjects O 4 treatments and 36 subjects
A 2019 study surveyed Norwegian parents about their children's eating habits and taste sensitivities. We are interested in seeing if there is a relationship between sensitivity to sweetness and emotional overeating. The study reports an F* = 2.72 with df = 2 and dfw = 39. How many levels of 'sensitivity to sweetness' were used in the study? How many subjects participated in the entire study? Add Work
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Doctors developed an intensive intervention program for obese patients with heart disease. Subjects with a BMI of 30 kg/m2 or more, with heart disease were assigned to a three-month lifestyle change of diet and exercise. Patients’ Left Ventricle Ejection Fraction (LVEF) are measured before and after intervention. A normal heart’s ejection fraction may be between 50 and 70 percent, higher numbers indicate a healthier heart. Assume LVEF's are normally distributed. Before After 53 62 49 58 40 52 58 63 48 61 54 69 45 52 45 63 60 62 36 54 51 56 56 63 42 58 43 59 53 61 53 63 Find the 95% confidence interval for the mean of the differences. Use technology to find the critical value and round answers to at least 4 decimal places. < μdμd < Did the intensive intervention program significantly increase the LVEF measurements?

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