A student's grade in a certain course is modeled by the joint PDF below; where X is the grade of the lecture component, and Y is the grade of the lab component. 6x + 10y, 0
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A student's grade in a certain course is modeled by the joint
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- The weights (in pounds) of 6 vehicles and the variability of their braking distances (in feet) when stopping on a dry surface are shown in the table. Can you conclude that there is a significant linear correlation between vehicle weight and variability in braking distance on a dry surface? Use a = 0.01. Weight, x Variability in braking distance, y 5960 5320 6500 5100 5850 4800 1.72 1.93 1.88 1.61 1.66 1.50 E Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. Ho:p = 0 Haip # 0 Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) A. The critical value is O B. The critical values are - to = and to =Calculate the relative frequency P(E). You have read 150 of the 500 novels in your home, but your sister Roslyn has read 200, of which only 50 are novels you have read as well. E is the event that a novel has been read by neither you nor your sister. P(E) =An economist conducted a study of the possible association between weekly income and weekly grocery expenditures. The particular interest was whether higher income would result in shoppers spending more on groceries. A random sample of shoppers at a local supermarket was obtained, and a questionnaire was administered asking about the weekly income of the shopper’s family and the grocery bill for that week. The correlation was found to be r=0.675. The percentage (to two decimal places) of variation in grocery bills explained by the family's weekly income regression line is:
- i, jCOVxy = 0.14 Sx * Sy = 0.22 Please calculate the correlation coefficientListed below are annual data for various years. The data are weights (metric tons) of imported lemons and car crash fatality rates per 100,000 population. Construct a scatterplot, find the value of the linear correlation coefficient r. Do the results suggest that imported lemons cause car fatalities? oom 482 531 14.9 ons Lemon Imports Crash Fatality Rate 230 264 359 15.9 15.7 15.5 15.2 ct placement ercial as a pn t principle: In Construct a scatterplot. Choose the correct graph below. OB. Oc. OD. ean a lot of r OA. ry". inal persuas Ay 17- Q 17- Ay 17- 17- 16- 16- 16- 16- 15- 15- 15- 15- 14- 14- 14+ 600 14+ 200 400 600 200 400 600 200 400 60 200 400
- Ocean currents are important in studies of climate change, as well as ecology studies of dispersal of plankton. Drift bottles are used to study ocean currents in the Pacific near Hawaii, the Solomon Islands, New Guinea, and other islands. Let x represent the number of days to recovery of a drift bottle after release and y represent the distance from point of release to point of recovery in km/100. The following data are representative of one study using drift bottles to study ocean currents. x days y km/100 71 76 31 92 203 14.2 19.6 5.8 11.2 35.9 (a) Verify that Ex = 473, Ey = 86.7, Ex = 61,451, Ey = 2033.69, Exy = 10995.7, and r 0.93868. %3D %3D %3D %3D Σχ 1 473 ΣΥ| 86.7 Ex2 61451 Ey2 2033.69 Exy 10995.7 r0.93868 (b) Use a 1% level of significance to test the claim p > 0. (Use 2 decimal places.) t 4.72 critical t 4.54 Conclusion Reject the null hypothesis, there is sufficient evidence that p > 0. O Reject the null hypothesis, there is insufficient evidence that p > 0. Fail to reject…Consider a cohort of patients receiving an experimental two-year treatment for a serious disease. Suppose that only 20% of the patients survive to the end of the second year. Assume CFM (constant force of mortality) within each year of treatment. Find the probability that a patient who survives the first four months dies by the end of the 20th month. Round to 4 decimal places.In a regression study, relating Price/unit (x) to Weekly Sales (in Kg.), with the scatter plot showing a strong negative direction, 63% of the variability in sales could be accounted for by the variation in the Unit Price. The correlation coefficient in this study is: 0.7 -0.4 -0.79 0.4