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Good evening, I need answers for the questions listed below please. If you need to use an excel sheet or a calculator, please do whatever

Good evening, I need answers for the questions listed below please. If you need to use an excel sheet or a calculator, please do whatever works for you. I also write good reviews!

1.) Part 4?

(Options for the box in part 4 are, Is/Is Not?)

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Is the lottery fair? Power ball is a multistate lottery in which players try to guess the numbers that will turn up in a drawing of numbered balls. l[line of the balls drawn is the "PDWEEFball." Matching the number drawn on the Powerball increases one's winnings. In a 17 month period, the Power ball was drawn from a collection of 35 balls numbered 1 through 35. A total of 14? drawings were made. For the purpose of this exercise, we grouped the numbers in to five categories: 17, 814, and so on. If the lottery is fair, then the winning number is equally likely to occur in any category. Following are the observed frequencies. Test the hypothesis that each of the categories is equally likely. Use the 0.010 level of significance and the Pvalue method with the TI84 Plus calculator. Category 1? 814 1521 2228 2935 Observed 25 30 34 23 35 if Send data to Excel ii (b} nd the Pvalue. Round the answer to four decimal places. The Pvalue is -. (c) Determine whether to reject H0. the null hypothesis H0. (d) State a conclusion. There (Choose one) 1' enough evidence to conclude that the number categories are not equally likely. A government agency computed the proportion of U.5. residents who lived in each of four geographic regions in a particular year. Then a simple random sample was drawn of 1000 people living in the United States in the current year. The following table presents the results. Re ion Past Year Observed 9 Proportion Counts Northeast 0.181 0-248 22? 0-343 390 0-228 231 If Send data in Excel T] Can you conclude that the proportions of people living in the various regions changed between the current year and the past year? Use the 0.05 level of significance and the Pvalue method with the TI84 Plus calculator. (b) nd the Pvalue. Round the answer to at least four decimal places. The Pvalue is -. (c) Determine whether to reject H0. w the null hypothesis H0. ({1} State a conclusion. There (Choose one) I enough evidence to conclude that the proportions of people living in the various regions changed between the current year and the past year. A governmental agency computed the proportion of violent crimes in the United States in a particular year falling into each of four categories. A simple random sample of 520 violent crimes committed in Califomia during that year were categorized in the same way. The following table presents the results. Cate o U.S. California 9 W Proportion Frequency Murder 0.015 7' Forcible Rape 0.08 3? Robbery 0.320 200 Aggravated Assault 0.585 276 If Send data to Excel \":1: Can you conclude that the proportions of crimes in the various categories in California differ from those in the United States as a whole? Use the 0.01 level of signicance and the Pvalue method with the TI84 Plus calculator. ({1} State a conclusion. There (Choose one) 1 enough evidence to conclude that the various categories in California differ from those in the United States as a whole. No smoking: The General Social Survey conducted a poll of 675 adults in which the subjects were asked whether they agree that the government should prohibit smoking in public places. In addition, each was asked how many people lived in his or her household. The results are summarized in the following contingency table. Household Size 1 2 3 4 5 Agree 7'1 110I 55 31 42 No Opinion 35 51 31 26 26 Disagree 51 62 4D 31 13 if Send data to Excel f) Test the hypothesis of independence. Use the o = 0.10 level of signicance and the Pvalue method with the TI-84 Plus calculator. what do you conclude? Part 4 of 4 (d) State a conclusion. There (Choose one) enough evidence to conclude that household size and opinion are not independent. X 5Age discrimination: The following table presents the numbers of employees, by age group, who were promoted, or not promoted, in a sample drawn from a certain industry during the past year. Age Under 30 30-39 40-49 50 and Over Promoted 10 14 22 13 Not Promoted 32 3] 41 28 If Send data to Excel f) Can you conclude that the people in some age groups are more likely to be promoted than those in other age groups? Use the ct: 0.10 level of signicance and the Pvalue method with the "IT84 Plus calculator. ({1} State a conclusion. There enough evidence to conclude that the people in some age groups are more likely to be promoted than those in other age groups. A recent study examined the effects of carbon monoxide exposure on a group of construction workers. The following table presents the numbers of workers who reported various symptoms, along with the shift (morning, evening, or night) that they worked. Morning Shift Evening Shift Night Shift Inuenza 20 14 10 Headache 20 37 5 Weakness 8 18 8 Shortness of Breath 9 6 11 if Send data to Excel ) Test the hypothesis of independence. Use the o:0.01 level of significance and the Pvalue method with the TI-34 Plus calculator. what do you conclude? State a conclusion. There enough evidence to conclude that shift and reported symptoms are - not independent. Blood pressure: A blood pressure measurement consists of two numbers: the systolic pressure, which is the maximum pressure taken when the heart is contracting, and the diastolic pressure, which is the minimum pressure taken at the beginning of the heartbeat. Blood pressures were measuredr in millimeters of mercury (mmHg), for a sample of 10 adults. The following table presents the results. Use a TIB4 calculator to answer the following. Systolic Diastolic Systolic Diastolic 1 33 9 1 105 66 1 1 2 3'5 1 57 103 107 ? 1 1 54 94 1 10 3'4 1 34 8? 108 69 1 1 5 83 Based on results published in the Journal of Human Hypertension If Send data to Excel .:| Is it possible to interpret the yinteroept? Explain. , the xvalues are all . If the systolic pressures of two patients differ by 5 millimeters, by how much would you predict their diastolic pressures to differ? Round the answer to three decimal places. Their diastolic pressures would differ by 2.958 millimeters. Predict me diastolic pressure for a patient whose systolic pressure is 125 millimeters. Round the answer to one decimal place. The diastolic pressure is predicted to be E] millimeters

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