BT milmit

please answer the following questions in step by step manner.please make sure you describe even small steps.

thank you.

q1:

55000- Median Income 25000+ 20 25 30 35 50 55 60 15 40 45 Bachelor's % OKx 4.2.10 The least-squares regression equation is y = 716.8x + 14,242 55000- where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two Median Income variables with a correlation coefficient of 0.7380. Complete parts (a) through (d). 25000- 15 20 25 30 35 40 45 50 55 60 Bachelor's % (a) Predict the median income of a region in which 30% of adults 25 years and older have at least a bachelor's degree. $ 35,746 (Round to the nearest dollar as needed.) (b) In a particular region, 28.7 percent of adults 25 years and older have at least a bachelor's degree. The median income in the region is $38, 163. Is this income higher than what you would expect? Why? This is higher than expected because the expected income is $ 34,814 (Round to the nearest dollar as needed.) (c) Interpret the slope. Select the correct choice below and fill in the answer box to complete your choice. (Type an integer or decimal. Do not round.) O A. For a median income of $0, the percent of adults with a bachelor's degree is %. O B. For every dollar increase in median income, the percent of adults having at least a bachelor's degree is %, on average O C. For 0% of adults having a bachelor's degree, the median income is predicted to be $ D. For every percent increase in adults having at least a bachelor's degree, the median income increases by $ 716.80, on average.The population parameters below describe the full-time equivalent number of students (FTES) each year at Lake Tahoe Community College from 1976-1977 through 2004-2005. M = 1000 FTES median = 1,014 FTES 0 = 474 FTES . first quartile = 528.5 FTES . third quartile = 1,447.5 FTES . n = 29 years A sample of 11 years is taken. About how many are expected to have a FTES of 1,014 or above? (Enter your answer as a whole number) years Explain how you determined your answer. (Enter your numerical answers as whole numbers.) 1,014 is the ---Select--- of the given population parameters. This value is the ---Select--- in the ordered list of data values. This value in a set of 11 will be the th number in order. Therefore, years will have totals at or below the median.The population parameters below describe the full-time equivalent number of students (FTES) each year at Lake Tahoe Community College from 1976-1977 through 2004-2005. . H = 1000 FTES . median = 1,014 FTES . 0 = 474 FTES first quartile = 528.5 FTES third quartile = 1,447.5 FTES . n = 29 years What is the IQR? (Enter your answer as a whole number.) What does the IQR represent? The IQR represents the range of the last 25 percent of the data values. O The IQR represents the range of the last 75 percent of the data values. The IQR represents the range of the middle 50 percent of the data values. O The IQR represents the range of the first 50 percent of the data values. O The IQR represents the range of the first 25 percent of the data values.7. Employees of a local university have been classified according to gender and job type as shown below. Sex Job Male (M) Female (F) Faculty (FA) 110 10 Salaried staff (SS) 30 50 Hourly staff (HS) 60 40 (A) If an employee is selected at random what is the probability that the employee is male? (B) If an employee is selected at random what is the probability that the employee is male and salaried staff? (C) If an employee is selected at random what is the probability that the employee is female given that the employee is a salaried member of staff? (D) If an employee is selected at random what is the probability that the employee is female or works as a member of the faculty? (E) If an employee is selected at random what is the probability that the employee is female or works as an hourly staff member? (F) If an employee is selected at random what is the probability that the employee is a member of the hourly staff given that the employee is female? (G) If an employee is selected at random what is the probability that the employee is a member of the faculty? (H) Are gender and type of job mutually exclusive? Explain with probabilities. (I) Are gender and type of job statistically independent? Explain with probabilities75 77 2. Records of 10 used passenger cars and 10 used pickups were randomly selected to investigate whether there was any evidence that people keep trucks longer than they 79 keep passenger cars. The table gives the time in years that the vehicles were kept by the 80 original owner before being sold. Number of Years Number of Years Passenger Cars Were Trucks Were Kept 82 Kept 83 84 85 10 12 86 9 87 88 C 10 00 89 90 91 92 94 Use the .01 level of significance to test whether the mean number of years passenger cars 95 are kept is less than the mean number of years trucks are kept. 97 a. State H, and H, (1 pt.) 99 100 102 b. Get the Excel Output (1 pt.) 104 106 107 108 109Practice Question 12) Label the bolded number as either a parameter or a statistic. If it's a parameter, also state whether it's a mean, ratio, or proportion. If it's a statistic, describe the sampling method employed: accidental, simple random, or stratified sample. (10 points, 2 each) a) ShopCo tracks all their sales for the sake of warehousing. They find that 2.2 times as many bags of baby carrots are being sold as regular carrots. b) Bulis finds that 55% of those answering the poll on his webpage feel that watching hockey is more important than feeding their children. c) A shipment of oranges is inspected for rot. A sample of crates are selected to inspect, and some of the oranges in each of those creates are selected. 17 oranges are found to be rotten. d) The typical toddler has watched 220 hours of Sesame Street by the time they start kindergarten, prompting schools in many areas to make their curriculum harder to compensate