An Article in the Journal of Sports Science (1987, Vol. 5, pp. 261-271) presents the results of an investigation of the hemoglobin levelof Canadian Olympic ice hockey players. A random sample of 20 players is selected and the hemoglobin level is measured. Theresulting sample mean and standard deviation(gdl) are x=15.23 and s=0.6117. Use this information to calculate a 95% two-sidedconfidence interval on the mean hemoglobin level and a 95% two-sided confidence interval on the variance. Assume the data arenormally distributed. Round your answers to 2 decimal places i.e., 0.00. Provide all the the necessary solutions.Blank 1sus Blank 2Blank 3 s 02 < Blank 4

Answered: Image /qna-images/answer/2a5a31ae-1d10-466b-93ff-766b9132187f.jpg

Answered: An Article in the Journal of Sports…

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 sample of 80 University night school students' ages was obtained in order to estimate the mean age of all night school students. The sample mean was 25.1 years, with a sample variance of 16.2. a. Give the point estimate for µ, the population mean, along with the margin of error. b. Calculate the 99% confidence interval for µ.
Chang et al. in 2005 examined the association between a family history of hematopoietic cancer on an individual’s risk of lymphoma in Sweden. In this study, the investigators validated self-report of a family history by searching for family members’ diagnosis in the Swedish Cancer Registry and examined whether the validity of self-report differed between cases and controls. Use the information contained in the tables below to answer the accompany questions: Assuming the following table displays the true distribution of exposure among cases and controls, construct a new table with misclassification of exposure if sensitivity and specificity are 60% and 98% among cases; and 38% and 99% among the controls respectively. True Distribution Cases Control Family history 56.7 37.1 No family history 1148.3 1189.9 Compute the true ORT using the information from the table above. Complete the observed or misclassified table below Observed / Misclassified…
In a sample of seven cars, each car was tested for nitrogen oxide emissions (in grams per mile). The results appear below. Assuming that nitrogen oxide emissions are normally distributed, 4. Car 1 2 3 4 5 6 7 Nitrogen oxide emission (g/mi) 0.13 0.18 0.15 0.09 0.12 0.18 0.08 a. Construct a 95% confidence interval for the mean amount of nitrogen oxide emissions for all cars. b. What effect would increasing the level of confidence have on the length of the interval?
The weight and systolic blood pressure of 26 randomly selected males in the age group 25 to 30 are shown below. Assume that weight and blood pressure are jointly normally distributed. (a) Test the hypothesis that p=0, using a=0.05 (b) Construct a 95% confidence interval for the correlation coefficient. Systolic BP Systolic BP Subject Weight Subject Weight 1 165 130 14 172 153 2 167 133 15 159 128 180 150 16 168 132 4 155 128 17 174 149 5 212 151 18 183 158 6. 175 146 19ao 215 150 7 190 150 20 195 163 8 210 140 21 180 156 9. 200 148 22 143 124 10 ot 149 i so 125 b23 240oun 170 11 158 133 24 235 165 12 169 135 25 192 160 13 170 150 26 187 159
Gestation period is the length of pregnancy, or to be more precise, the interval between fertilization and birth. In Syrian hamsters, the average gestation period is 16 days. Suppose you have a sample of 31 Syrian hamsters who were exposed to high levels of the hormone progesterone when they were pups, and who have an average gestation length of 17.1 days and a sample variance of 26.0 days. You want to test the hypothesis that Syrian hamsters who were exposed to high levels of the hormone progesterone when they were pups have a different gestation length than all Syrian hamsters. Calculate the t statistic. To do this, you first need to calculate the estimated standard error. The estimated standard error is sMM= a. 31, b. 0.5232, c. 0.7328, d. 0.9158. The t statistic is- a. 1.50, b. 2.10, c. 2.63, d. 1.20 Now suppose you have a larger sample size n = 95. Calculate the estimated standard error and the t statistic for this sample with the same sample average and the same…

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