An Introduction to Statistical Methods and Data Analysis
7th Edition
ISBN: 9781305269477
Author: R. Lyman Ott, Micheal T. Longnecker
Publisher: Cengage Learning
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The following table illustrates the BMI for a number of patients recently enrolled in a study investigating the relationship between BMI and type 2 diabetes.
Participant BMI (kg/m2)
A 26.5
B 19.2
C 29.7
D 27.4
E 30.2
F 28.9
A) Assuming the participants can be considered to be normally distributed, and that they come from a population with a σ=2.4 kg/m , calculate a 95% confidence interval for the mean BMI of the population for which they represent and correctly interpret the confidence interval you found.
For a sample of 400 correctional officers at Lucasville State Prison, a researcher believes there is a relationship between “years on the job” and “willingness to help raise money for adult charities.” Using the following data, test the null hypothesis at the .01 level of significance that willingness to help raise donations does not differ by length of service as a correctional officer. In so doing, identify: (1) the research and null hypothesis, (2) the critical value needed to reject the null, (3) the decision that you made upon analyzing the data, and (4) the conclusion you have drawn based on the decision you have made.
A 30 month study is conducted to determine the difference in rates of accidents per month between two departments in an assembly plant. If a sample of 12 from the first department averaged 12.3 accidents per month with a standard deviation of 3.5, and a sample of 9 from the second department averaged 7.6 accidents per month with standard deviation of 3.4, find: The t-value for a 95% confidence interval is:
A. 2.09302
B. 1.724718
C. 2.08596
D. 1.729133
E. none of the preceding
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- The following table illustrates the BMI for a number of patients recently enrolled in a study investigating the relationship between BMI and type 2 diabetes. Participan t BMI (kg/m2) A 26.5 B 19.2 C 29.7 D 27.4 E 30.2 F 28.9 A) Assuming the participants can be considered to be normally distributed, and that they come from a population with a σ=2.4 kg/m , calculate a 95% confidence interval for the mean BMI ofthe population for which they represent.arrow_forward1. A study is run comparing HDL cholesterol levels between men who exercise regularly and those who do not. The data are shown below. Regular Exercise N Mean Std DevYes 35 48.5 12.5No 120 56.9 11.9 Generate a 95% confidence interval for the difference in mean HDL levels between men who exercise regularly and those who do not.arrow_forwardThe NAEP considers that a national average of 283 is an acceptable performance. Using α = .05, run a two-tail t-test for one sample to test Ho: µ=283 for the 2019 scores. Report the t-obt, df, and p-values. Would you reject the null hypothesis that the 2019 scores come from a population with average 283? If this is the case, does it come from a population from larger or smaller average?arrow_forward
- A Harris Poll in 2003 asked a national sample of 2316 adults whether they favored or opposed abolishing the penny, with 59% saying that they oppose it. Determine and interpret a 90% confidence interval for the population parameter of interest. (4 decimals)arrow_forward1. A study is run comparing HDL cholesterol levels between men who exercise regularly and those who do not. The data are shown below.Regular Exercise N Mean Std DevYes 35 48.5 12.5No 120 56.9 11.92. Generate a 95% confidence interval for the difference in mean HDL levels between men who exercise regularly and those who do not.arrow_forwardThe following chloride (mmol/L) results were obtained using a new analyzer: 106 111 104 106 112 110 115 127 83 110 108 109 83 119 105 106 108 114 120 100 107 110 109 102 Using the data given, calculate and record the mean, SD and the confidence intervals to plot your Levey-Jennings control chart. Show your solutions and plot a LJ chart. After plotting your chart, are the values all in control/accepted? If not, which value should be rejected? What rule is violated? What kind of error more likely contributed to the violation? Please just plot.arrow_forward
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