0.6 1.8 4.6 13.9 0.6 2.3 5.8 14.4 0.6 2.4 6.1 14.6 0.8 2.5 7.3 14.7 0.9 2.7 7.6 14.9 1.1 2.7 9.2 15.3 1.2 2.9 9.3 15.5 1.3 2.9 12.5 15.5
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Given
Number of observation before 0.6=10
Total number of observations=50
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- W L 1.4 1.91.4 1.81.5 1.91.9 2.32.1 3.52.1 2.82.1 2.72.2 3.02.2 2.72.3 3.02.4 3.22.4 2.92.5 3.52.5 3.32.6 3.52.6 3.42.6 3.42.7 3.22.8 3.82.8 3.52.9 3.82.9 3.92.9 3.82.9 3.73.0 3.83.0 4.03.0 3.73.1 4.13.4 4.43.4 4.33.5 4.53.6 4.63.6 4.83.6 4.93.6 4.53.7 4.93.9 5.43.9 5.24.1 5.34.1 5.44.1 5.24.2 5.44.2 5.54.2 5.64.2 5.24.3 5.64.7 6.14.8 6.64.8 6.14.8 6.04.9 6.15.0 6.65.0 6.25.1 6.65.2 6.45.2 6.85.4 6.35.6 7.05.6 7.95.8 7.45.8 7.45.8 6.95.9 7.96.0 7.76.0 7.86.0 7.36.2 8.56.2 7.56.3 7.66.5 9.36.6 8.16.6 8.06.7 8.26.7 9.26.7 8.06.7 7.96.9 8.66.9 8.17.0 9.57.1 9.17.1 9.17.1 9.47.2 8.47.3 9.37.3 8.97.4 8.97.5 8.6 match the number to the corresponding residualy 67.7 21.7 184.2 73.9 64.2 19.6 73.1 31.9 86.8 28 83.7 24.8 58.5 8.8 84.9 38.4 78.5 10.7 67.8 39.5 52.5 23.7 49 22 74.4 10 82 29.4 77.4 19.3 82.8 28 72.4 11.4 79 23.7 85.6 48.7 65.2 17.4 79.2 16.2 107.8 49 69.4 19.7 79.1 31.7 82.1 14.6 75.9 29.4 Make a scatter plot of this data. Which point appears to be an outlier? |(184.2,73.9) (Enter as an ordered pair.)In a test of the effectiveness of garlic for lowering cholesterol, 50 subjects were treated with garlic in a processed tablet form. Cholesterol levels were measured before and after the treatment. The changes (before - after) in their levels of LDL cholesterol (in mg/dL) have a mean of 3.2 and a standard deviation of 17.5. Construct a 95% confidence interval estimate of the mean net change in LDL cholesterol after the garlic treatment. What does the confidence interval suggest about the effectiveness of garlic in reducing LDL cholesterol? Click here to view at distribution table. Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. C What is the confidence interval estimate of the population mean µ? mg/dL <μ< mg/dL (Round to two decimal places as needed.) What does the confidence interval suggest about the effectiveness of the treatment? O A. The confidence interval limits do not contain 0, suggesting…
- 1. Repeat the steps from tab #1 using this data to construct a scatter plot graph and calculate the correlation coefficient R. (Recall the correlation coefficient is R and not R2) Principals x Teachers y 77.8 43.7 78.4 43.8 80.8 45.0 80.5 45.6 R=0.997497 81.5 45.9 2. Does the R value represent a positive, negative or no correlation between the salaries of the teachers and principals? As teacher salaries increase, what happens to 84.8 48.2 87.7 49.3 prinicipal salaries? 91.6 51.3 93.6 52.9 3. Write the equation of the regression line for the data below. The equation is y= 95.7 54.4 95.7 54.2 4. Use the regression equation that you found in exercise #3 to predict the average annual salary of public school classroom teachers when the average annual salary of public school principals is $139,723. Show your work in the cells to the right. (Be careful when entering the x-value in the equation. The table shows numbers that have been adjusted in terms of the thousands. Example: if the salary…Statistics QuestionMag Depth 2.96 19.9 2.73 6.5 1.46 3.5 0.85 13.3 2.95 19.9 1.63 8.7 1.92 18.4 1.12 7.9 2.59 3.1 1.68 9.4 0.14 6.2 2.43 17.7 0.04 18.4 1.03 9.8 2.89 12.4 0.54 9.5 0.77 2.1 1.87 8.1 2.72 17.3 0.84 9.9 1.48 12.7 0.68 7.1 1.83 17.1 1.89 3.4 0.94 13.8 2.24 5.7 0.94 16.7 1.36 5.2 0.98 6.6 0.51 12.5 2.69 14.1 1.73 12.5 2.29 12.7 1.63 14.7 0.52 18.6 2.75 4.5 2.31 10.5 1.39 13.3 2.05 10.5 0.63 5.7 1.15 3.6 1.59 2.9 2.92 11.3 0.33 6.4 2.78 9.2 1.43 4.8 0.82 4.8 0.21 13.6 1.77 12.3 0.68 4.9 1) Check Image 2) Given that the earthquake has a magnitude of 1.1, the best predicted depth is km. (Round to one decimal place as needed.)
- 7. 15 17 10. 18 15 6. 96 8, 9.Wins Attendance (In Millions) 65 2.06 91 2.51 66 1.73 89 3.05 75 3.06 88 2.19 91 2.06 69 1.39 83 2.88 81 2.46 80 1.54 76 2.33 67 1.62 80 3.25 80 3.56 77 2.78 94 3.22 79 2.56 95 3.77 81 1.42 97 3.65 57 1.61 90 2.13 92 3.04 61 2.09 86 3.3 96 1.84 90 2.51 85 1.63 69 1.83 Draw a scatter diagram depicting the correlation between the two variables. Determine the correlation coefficient between the two variables using Excel. Present a regression output between a dependent and one independent variable. Obtain estimated coefficients and R-squared and interpret them. Write a short report on the findings.Problem 2: Supplement for Weightlifting Continued In comparison to the previous problem, let us say that the weightlifting supplement company informed you that how long a female weightlifter has been lifting impacts the amount of muscle mass they can gain. Suppose that you changed your data collection method from what you did in Problem 1. Now you randomly select one weightlifter from each group (supplement and placebo) that have been lifting for 39 to 40 months. Next, you randomly sample one weightlifter from each group that have been lifting for 37 to 38 months. Then, you continue this process until the 20th pair of weightlifters have lifted for 2 months or less. The data contains the whole body lean mass difference in pounds and training experience in months. Can you infer that the supplement group gained more muscle mass on average than the placebo group? Use a = 0.05 for any hypothesis test. List the conditions necessary to complete this probiem. g) Calculate the test statistic…
- Consider the data set below. 1.6 1.8 2.3 2.3 2.3 2.5 2.1 2.4 2.2 2.5 2.3 2.5 2.6 2.6 2.6 2.9 3.0 2.7 3.1 3.5 3.3 3.5 3.2 4.0 3.9 3.9 4.4 4.1 4.2 4.9 4.8 4.8 4.9 5.4 5.1 5.5 6.0 6.0 5.6 6.0 5.9 5,8 5.7 5.6 5.6 5.8 6.4 6.5 6.4 6.2 A relative frequency distribution of the data is given below. 0.2 0.1 1.6 2.1 2.6 3.13.6 414.6 5.1.5,6 6.1 6.6 What fraction of the measurements are less than 5.17 (Enter your answer as a fraction.) Relative FrequencyFirst Die 4 6. 1 3 4 6. 7 3 4 5. 6. 7. 8. 4 5. 6. 7 8. 9. 4 6. 7. 8. 9. 10 5 6. 8 6. 10 11 8. 9. 10 11 12 419 t in 47 Second DieUse the sample data and confidence level given below to complete parts (a) through (d). In a study of cell phone use and brain hemispheric dominance, an Internet survey was e-mailed to 2444 subjects randomly selected from an online group involved with ears. 1139 surveys were returned. Construct a 95% confidence interval for the proportion of returned surveys. Click the icon to view a table of z scores. a) Find the best point estimate of the population proportion p. (Round to three decimal places as needed.) b) Identify the value of the margin of error E. E= (Round to three decimal places as needed.) c) Construct the confidence interval. (…)