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2. A manufacturer of window frames knows from past experience that 10 per cent of the
production will have some type of minor defect that will require adjustment. Suppose 20
window frames are selected at random:
a. How many window frames would you expect to have minor defects?
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- The asking price (in thousands of dollars) of 33 four-bedroom homes in a certain city are described by the dotplot. Asking Prices of Four-Bedroom Homes 0 50 100 150 Complete parts (a) through (e). 200 250 Thousands of dollars The values of the outliers are 300 350 thousand and a. A buyer can afford to pay up to $150 thousand. Assuming sellers will not lower their asking prices, what proportion of the homes can the buyer afford? The proportion of homes that the buyer can afford is (Round to the nearest thousandth as needed.) b. What proportion of the homes have asking prices between $250 thousand and $350 thousand? 400 The proportion of homes with asking prices between $250 thousand and $350 thousand is (Round to the nearest thousandth as needed.) c. If there were two outliers, estimate their values. 450 thousand. d. It turns out that the two homes with asking prices you identified in part (c) also have square footages that are outliers. Why does this make sense? OA: This makes sense…The following data are the Medical Expenses in each of the 50 states.Using descriptive statistics, measures of central tendency, and measures of dispersion, answer the following questions below.The data is in thousands of dollars and is arranged in alphabetical order Q 1: Determine the initial value of the last class Q 2: Determine the Midpoint of the second class Q 3: Determine the Midpoint of the fourth class Q 4: Determine the Frequency of the first class Q 5: Determine the Frequency of the Next Class Q 6: Determine the Frequency of the third class Q 7: Determine the Frequency of the fourth class Q 8: Determine the Frequency of the penultimate class. Q 9: Determine the Frequency of the last class. Q 10: Determine the Cumulative Frequency of the second class Q 11: Determine the Cumulative Frequency of the third classSection F: In a random sample of 150 unemployed males, 81 of them stated that they were regular consumers of alcoholic beverages. Let p denote the true proportion of unemployed males that are regular consumers of alcoholic beverages.
- 9. At the start of the 2012 season, the Washington Nationals had the following salary values: Total salary for players: $81,336,143 # of players: 30 Average salary/player $2,623,746 Median salary $800,000 What is the shape of the distribution of player salaries? A. Skewed left B. Standard C. Symmetric D. Skewed right1. Historically, the MBA program at Whatsamattu U. has about 40% of their students choose a Leadership major, 30% choose a Finance major, 20% choose a Marketing major, and 10% choose no major. Does the most recent class of 200 MBA students fit that same pattern or has there been a shift in the choice of majors. Using the sample of 200 students (in the data file), conduct a Chi Square Goodness of Fit test to determine if the current distribution fits the historical pattern. Use a .05 significance level. 2. While job opportunities for men and women are considerably more balanced than they were 40 years ago, the career aspirations may still differ. Is there a difference in majors chosen by men and women? Using the sample of 200 MBA students (in the data file), conduct a Chi Square Test of Independence to determine if one's choice of major is independent of their gender. Use a .05 significance level.1. Define a suitable population, variable/s, and the parameter of interest for the following study. a. The manufacturer of badminton shuttlecocks wishes to determine how many games their brand will last on the average. 2. Identify the possible target population, elementary units, sampling frame, sampled population, and sampling unit. Discuss the possible problems of selection. a. A market researcher wishes to determine the feature of the most preferred dining table among residents in Manila Region.
- 2) Here are some data on height (in meters) of mature sycamore trees. Construct a boxplot of these data. Do not use R: 24.8 15.1 33.2 31.3 26.0 23.8 36.9 15.7 35.2 17.6 23.6 31.4 52.21. Students from Sandalwood High School were asked, when given the choice between math or English, which class they preferred to take during first period. The data was broken down by gender: 55 males preferred math 52 males preferred English 42 females preferred math 51 females preferred English Part A: Fill in and complete the following contingency table. Circle the largest joint frequency and put a box around the smallest marginal frequency. Sandalwood High School Survey of Preferred First Period Class Math English Total Males Females Total Part B: Which subject was preferred as a first period class and by what percentage? Part C: Males preferred which subject more? Part D: What frequency does 103/200 represent?To test for any significant difference in the number of hours between breakdowns for four machines, the following data were obtained. Machine1 Machine2 Machine3 Machine4 6.7 8.7 11.1 9.8 8.0 7.5 10.3 12.9 5.4 9.5 9.6 12.1 7.6 10.1 10.2 10.9 8.6 9.2 9.0 11.3 7.5 9.6 8.6 11.4 Use the Bonferroni adjustment to test for a significant difference between all pairs of means. Assume that a maximum overall experimentwise error rate of 0.05 is desired. Find the value of LSD. (Round your comparisonwise error rate to three decimal places. Round your answer to two decimal places.) LSD = Find the pairwise absolute difference between sample means for each pair of machines. x1 − x2= x1 − x3= x1 − x4= x2 − x3= x2 − x4= x3 − x4= Which treatment means differ significantly? (Select all that apply.) There is a significant difference between the means for Machine 1 and Machine 2.There is a significant difference between the means for Machine 1 and Machine 3.There is a significant…
- Suppose a certain retailer sells several models of refrigerators. A random sample of the models sold by this retailer and their corresponding cubic feet (cu. ft.) and list price can be found below. Model Model 1 Model 2 Model 31 with Thru-the-Door Ice and Water. Model 4 Model 5 Model 6 with Thru-the-Door Ice and Water Model 7 Model 8. Model 9 with Thru-the-Door Ice and Water Model 10 with Thru-the-Door Ice and Water Model 11 with Thru-the-Door Ice and Water Model 12. Model 13 with Thru-the-Door Ice and Water Model 14 Model 14 Model 15 Model 16 with Thru-the-Door Ice and Water Model 17 Model 18 with Thru-the-Door Ice and Water Model 19 with Thru-the-Door Ice and Water Model 20 with Thru-the-Door Ice and Water Model 21 Cu.Ft. List Price 18.3 Ho: B₂ 20 H₂: B₁ 0 ⒸH₁: B₁ = 0 H₂: P₁0 24.8 25.4 19.3 17.3 19.6 25.0 25.4 26.0 25.6 18.0 25.0 20.2 24.5 $1,299.99 20.2 15.5 28.2 27.8 $899.99 23.6 $1,799.99 $1,799.99 $749.99 $599.99 $1,619.99 $999.99 $1,299.99 $1,299.99 $1,099.99 $679.99 $2,199.99…The Central Limit Theorem (CLT) deals primarily with the distribution of the a. sample mean b. sample variance c. sample median d. sample proportion e. population mean