Questions 1-5 refer to the small group of data shown below. X Y 4 3 2 2 0 7 4 5 6 2 (ΣY)² is equal to:
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- (ΣY)² is equal to:
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- Find question 3 using the data in question 1.Bilue Green Hazel Brown Brown Brown Blue Blue Birown Brown Brown Hazel Blue Hazel Brown Brown Brown Brown Brown Blue Brown Hazel Green Brown Brown Blue Brown Brown Hazel Brown Green Hazel Brown Brown Brown Brown The data above is a random sample of eye colors collected from a group of 40 MVCC studentsQuestion 1 (10.2) Mark the mean of the dataset, the first principal component, and the second principal component. You don't have to calculate anything; just make approximate markings.
- Consider the following data: x −5 −4 −3 −2 −1 P(X=x)P(X=x) 0.2 0.3 0.2 0.1 0.2 Copy Data Step 5 of 5: Find the value of P(X>−4)P(X>−4). Round your answer to one decimal placConsider the following scenario for Questions 6 through 9: The City of Bellmore’s police chief believes that maintenance costs on high-mileage police vehicles are much higher than those costs for low-mileage vehicles. If high-mileage vehicles are costing too much, it may be more economical to purchase more vehicles. An analyst in the department regresses yearly maintenance costs (Y) for a sample of 200 police vehicles on each vehicle’s total mileage for the year (X). The regression equation finds: Y = $50 + .030X with a r2 of .90 What is the IV? What is the DV? If the mileage increases by one mile, what is the predicted increase in maintenance costs? If a vehicle’s mileage for the year is 50,000, what is its predicted maintenance costs? What does an r2 of .90 tell us? Is this a strong or weak correlation? How can you tell?Question 2 A business owner wants to know the proportion of customers that do not buy a product in two stores. The owner is interested to know if the proportion of store 1 is greater than store 2. The data available is the following: n1=125, x1=10 customers, n2=135, x2=5 customers. Use 4 digits after decimal point a. Find ZO: b. Write "fail to reject HO" or "Reject HO" based in your calculations: c. Find P-value d. Find 95% CI
- You are given the following information: = 7.6491 Ax+1:9| = 6.59609 Ax+2:8| = 6.00768 i = 0.05 10Px = 0.83065 Calculate 2Px-The following equations were estimated using the data in BWGHT: log(bwght) = 4.66 - 0044 cigs + .0093 log(faminc) + .016 parity (.0059) (.22) (.0009) (.006) + .027 male + .055 white (.010) (.013) 1,388, R = .0472 and log(bwght) 4.65 – .0052 cigs + .0110 log(faminc) + .017 parity (.006) (.38) (.0010) (.0085) + .034 male + .045 white – .0030 motheduc + .0032 fatheduc (.011) (.015) (.0030) (.0026) n = 1,191, R2 = .0493. %3DThe population P (in thousands) of a certain city from 2000 through 2014 can be modeled by P = 140.5ekt,
- QUESTION 6 4.72b: What is the requested score? I. 392.8 II. 425.3 III. 438.7 IV. 457.2An example of the statistical treatment of an urban spot speed study is given below. Table 10.2 shows a set of 130 observations of spot speeds made by timing vehicles through a "trap" of 88 feet. In this example, the stopwatch data are grouped into 0.2 sec classes (a 1/5 sec stopwatch was used to obtain the data). The first column of the table shows the midpoint of each group. The second column shows the frequency of the observations. The cumulative percent shown in the third column is obtained by dividing each cumulative frequency (for example, 8 vehicles took 5 sec or longer to pass through the trap) by the total number of observations and multiplying by 100 (8 x 100/130 = 6.2 percent). The next two columns are computed to develop the average and variance of the space distribution. The sixth column indicates the speed of each time class and the last two columns are used to obtain the average speed and variance of the time distribution. Spot Speed Study Calculations (1) (2) Number…Question 5 The mean monthly salaries paid to 100 employees of a company were tk. 5000. The mean monthly salaries paid to male and female employees were tk. 5200 and tk. 4200 respectively. Determine the percentage of males and females employed by the company.