The stated goal of a chain of service stores is to provide a lube and oil change for anyone's automobile in 15 minutes. The manager at one store thinks that there is a growing disparity among his workers in the time it takes to lube and change the oil of an automobile. To monitor this, the manager has selected a sample of 20 days and has recorded the time it took to service 100 automobiles each day. Data about the number of times the service was performed in 15 minutes or less (515) are found below. Complete parts a through c Click the icon to view the data. a. Compute p and sp p-(Round to four decimal places as needed.) Sp (Round to four decimal places as needed) b. Construct a p-chart and determine if the process of the time required for oil and lube jobs is in control Which graph below shows a p-chart for the data? O A. OB. Am 0.05 -ww Is the process in control? OA. Since 10 points in a row are below the centerline, followed by 10 points above, conclude that the process is out of control. OB. Since there are more than 6 consecutive points increasing, conclude that the process is out of control. OC. Since there are no signals to indicate that something has changed, conclude that the process is in control. OD. Since there is at least one point outside the control limits, conclude that the process is out of control OE. Since more than 14 points in a row alternate up and down, conclude that the process is out of control. c. Specify the signals that are used to indicate an out-of-control situation on a p-chart. Select all that apply. A. One or more points outside the upper or lower control limits B. Nine or more points in a row above (or below) the centerline C. Six or more consecutive points moving in the same direction (increasing or decreasing) D. Eight points in a row altemating above and below the centerline E. Fourteen points in a row alternating up and down OC. www Data Number of Cars Serviced in 15 Day Minutes or Less 84 87 84 90 86 86 87 11 91 12 89 13 14 86 15 88 17 18 19 20 OD. 085- www

Recently, researchers have begun to focus on the relationship between potentially toxic environmental exposures in children to a number of adverse health outcomes. Suppose one such researcher wants to investigate the relationship between lead levels in soil (micrograms/dL) and BMI (kg/m2). The following table represents a SRS of households with the corresponding exterior lead levels and BMI of a randomly sampled child in the home.Leal levels (μg/dL) 13.614.39.79.4 11.4 10.9BMI (kg/m2) 19.719.920.122.1 19.8 21.6A) Write out the null and alternative hypotheses for a formal test of significance testing the correlation between the two variables.B) Calculate a t statistic and interpret your pvalue and results.

Thomas wants to compare the mean concentration of carbon monoxide (CO) on residential versus commercial streets, since these differ in terms of car traffic. In each of three neighborhoods of Montréal (named A, B, and C below), he randomly chooses four locations for each type of street, for a total of 24 observations (2 street types x 3 neighborhoods x 4 locations). At each location, he measures CO concentration in the air over a period of 10 hours (8:00 AM-6:00 PM), and obtains the following data (in ppm/h). Question: Test whether or not the difference between residential and commercial streets in mean atmospheric CO concentration is the same among the three neighborhoods, and whether or not CO concentration in the air is the same, on average, for the two types of streets. Note that Neighborhood is considered a random block factor in the ANOVA. Use significant level= 0.05.

Suppose the doctors at a local office take a health survey of 100 adult female patients with similar weight who have had appointments in the last week. According to their medical file, the 100 participants all weigh between 140 – 149 lbs. One of the survey questions asks participants to list their current weight. The accompanying tables show the relative frequency of weights measured by the physician for the 100 participants and the relative frequency of weights recorded in the survey for the 100 participants. Note that some of the weights reported in the survey did not fall between 140 – 149 lbs. Weights reported by physician (to the nearest pound) Weights recorded by participants Weight (in pounds) Relative frequency Weight (in pounds) Relative frequency 140 0.12 140 0.32 141 0.09 141 0.04 142 0.17 142 0.05 143 0.06 143 0.04 144 0.14 144 0.07 145 0.11 145 0.23 146 0.04 146 0.01 147 0.10 147 0.01 148 0.09 148 0.03 149 0.08 149 0.02 Total 1.00 Total 0.82 Select the statements that are…