A manufacturer of metal plates makes two claims concerning the thickness of the plates they produce. The manufacturer claims that Statement a: The mean is 200mm Statement b : The variance is 1.5mm squared To investigate the second claim the thickness of a second sample of metal sheets was measured. The values found are listed in Part b with mm as unit. Set up the framework of an appropriate statistical test on Statement B Explain how knowing the sample variance before carrying out the test would influence the structure of the test.
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A manufacturer of metal plates makes two claims concerning the thickness of the plates they produce. The manufacturer claims that
Statement a: The mean is 200mm
Statement b : The variance is 1.5mm squared
To investigate the second claim the thickness of a second sample of metal sheets was measured. The values found are listed in Part b with mm as unit. Set up the framework of an appropriate statistical test on Statement B Explain how knowing the sample variance before carrying out the test would influence the structure of the test.
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- Find the positive geometric mean between 4 and 64.Use the sample data and confidence level given below to complete parts (a) through (d). A research institute poll asked respondents if they felt vulnerable to identity theft. In the poll, n= 1048 and x = 568 who said "yes." Use a 95% confidence level. Click the icon to view a table of z scores. Standard Normal (z) Distribution a) Find the best point estimate of the population proportion p. .00 .01 .02 .03 .04 .05 .06 .07 .08 .09 (Round to three decimal places as needed.) 0.0 .5000 .5040 .5080 .5120 .5160 .5199 .5239 .5279 .5319 .5359 0.0 0.1 .5398 .5438 .5478 .5517 .5557 .5596 .5636 .5675 .5714 .5753 0.1 0.2 .5793 .5832 .5871 .5910 .5948 .5987 .6026 .6064 .6103 .6141 0.2 0.3 .6179 .6217 .6255 .6293 .6331 .6368 .6406 .6443 .6480 .6517 0.3 0.4 .6554 .6591 .6628 .6664 .6700 .6736 .6772 .6808 .6844 .6879 0.4 0.5 .6915 .6950 .6985 7019 .7054 .7088 .7123 .7157 .7190 .7224 0.5 0.6 .7257 .7291 7324 7357 .7389 .7422 .7454 .7486 .7517 .7549 0.6 0.7 .7580 .7611 .7642 7673 7704 .7734 .7764 .7794…We want to predict the selling price of a house in Newburg Park, Florida, based on the distance the house lies from the beach. Suppose that we're given the data in the table below. These data detail the distance from the beach (x, in miles) and the selling price (y, in thousands of dollars) for each of a sample of fifteen homes sold in Newburg Park in the past year. The data are plotted in the scatter plot in Figure 1. Also given is the product of the distance from the beach and the house price for each of the fifteen houses. (These products, written in the column labelled "xy", may aid in calculations.) Distance Selling price, from the beach, x (in miles) y (in thousands of dollars) ху 00 11.6 282.3 3274.68 11.3 222.2 2510.86 17.8 223.5 3978.3 350- 13.6 264.2 3593.12 300-- 7.8 224.4 1750.32 14.3 195.5 2795.65 250- 7.0 296.3 2074.1 200 9.8 227.9 2233.42 7.8 247.0 1926.6 150 6.9 313.1 2160.39 3.9 317.3 1237.47 Distance from the beach (in miles) 5.4 268.1 1447.74 13.4 196.6 2634.44…
- 20171.18 46831.5 21789.85 4828.121 14684.72 -12813.6 24519.65 73135.66 29135.23 42180.99 2261.035 52749.12 41403.37 26760.47 32546.79 17728.36 -2407.25 39998.17 9780.605 45741.21 37178.78 33696.61 43259.29 26814.31 31291.52 37175.38 50136.51 55886.29 8696.373 30507.27 69778.96 52346.39 -13641.8 24661.96 9746.476 50024.07 78575.84 26692.57 38463.91 30145.11 40459.87 10816.03 14662.31 44380.93 34686.81 30315.94 18222.65 39422.52 43345.67 -2355.16 49109.01 21361.93 32708.77 50170.42 11337.63 36858.01 19704.15 34739.6 10822.38 -1332.56 70582.65 45813.68 27238.56 36232.78 29583.19 51432.22 70353.96 49991.42 37953.37 24107.22 19944.66 22744.9 31955.78 53442.8 36301.04 Spreadsheet 2214.26 356.79 424.96 231.51 353.89 552.75 281.93 303.66 518.15 234.62 336.36 514.07 246.55 341.26 575.65 277.97 452.59 652.23 267.33 482.71 775.82 209.67 445.44 769.54 372.05 428.84 765.86 320.02 485.78 819.89. The table below contains the total cost ($) for four tickets to a basketball game purchased on the secondary market, two beers, two soft drinks, two hot dogs, and one parking space at each arena during a recent season. a. Organize these costs as an ordered array. b. Construct a frequency distribution and a percentage distribution for these costs. c. Around what values, if any, are at least 75% of the costs of attending the game concentrated? Explain. Question content area bottom Part 1 a. Organize these costs as an ordered array. enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your…Complete the following using compound future value. (Use the Table provided.) (Round your answers to the nearest cent.) Time 11 years Principal $ 15,200 Rate Compounded 2 % Annually Amount Interest
- The following table shows the average price of tomatoes (in dollars per pound) in certain country from 2017 to 2021 Year Price 2017 1.715 2018 0.942 2019 0.916 2020 1.181 2021 1.614What is the confidence level of each of the following confidence intervals for u? Complete parts a through e. Click the icon to view the table of normal curve areas. a. x+1.96 % (Round to two decimal places as needed.) b. x+1.645 % (Round to two decimal places as needed.) c. X+2.575 % (Round to two decimal places as needed.) d. x+1.282 % (Round to two decimal places as needed.) e. x+0.99 % (Round to two decimal places as needed.)The 285 observations: 5.00 11.00 16.00 23.00 36.00 58.00 29.00 20.00 10.00 8.00 3.00 0.00 0.00 2.00 11.00 27.00 47.00 63.00 60.00 39.00 28.00 26.00 22.00 11.00 21.00 40.00 78.00122.00103.00 73.00 47.00 35.00 11.00 5.00 16.00 34.00 70.00 81.00111.00101.00 73.00 40.00 20.00 16.00 5.00 11.00 22.00 40.00 60.00 80.90 83.40 47.70 47.80 30.70 12.20 9.60 10.20 32.40 47.60 54.00 62.90 85.90 61.20 45.10 36.40 20.90 11.40 37.80 69.80106.10100.80 81.60 66.50 34.80 30.60 7.00 19.80 92.50154.40125.90 84.80 68.10 38.50 22.80 10.20 24.10 82.90132.00130.90118.10 89.90 66.60 60.00 46.90 41.00 21.30 16.00 6.40 4.10 6.80 14.50 34.00 45.00 43.10 47.50 42.20 28.10 10.10 8.10 2.50 0.00 1.40 5.00 12.20 13.90 35.40 45.80 41.10 30.10 23.90 15.60 6.60 4.00 1.80 8.50 16.60 36.30 49.60 64.20 67.00 70.90 47.80 27.50 8.50 13.20 56.90121.50138.30103.20 85.70 64.60 36.70 24.20 10.70 15.00 40.10 61.50 98.50124.70 96.30 66.60 64.50 54.10 39.00 20.60 6.70 4.30 22.70 54.80 93.80 95.80 77.20 59.10…
- Wins Attendance (In Millions) 65 2.06 91 2.51 66 1.73 89 3.05 75 3.06 88 2.19 91 2.06 69 1.39 83 2.88 81 2.46 80 1.54 76 2.33 67 1.62 80 3.25 80 3.56 77 2.78 94 3.22 79 2.56 95 3.77 81 1.42 97 3.65 57 1.61 90 2.13 92 3.04 61 2.09 86 3.3 96 1.84 90 2.51 85 1.63 69 1.83 Draw a scatter diagram depicting the correlation between the two variables. Determine the correlation coefficient between the two variables using Excel. Present a regression output between a dependent and one independent variable. Obtain estimated coefficients and R-squared and interpret them. Write a short report on the findings.Sub. Grp Reading-1 53.59 Reading-2 Reading-3 50.74 Reading-4 Reading-5 48.61 50 39 46.84 50.74 51.10 48.97 51.45 46.84 3. 51.81 49.32 50.03 49.32 47.90 4 53.23 47.90 51.10 50.39 50.74 50.03 50.03 46.84 47.19 51.10 6. 52.52 46.48 48.26 47.90 47.90 53.23 46.84 48.97 5145 50.03 8. 51.45 52.16 50.03 47.90 51.81 55.01 47.90 47.19 47.90 48. 26 10 51.10 47.90 48.61 49.68 49.32 11 51.10 49.32 50.03 50.03 50.39 12 52.16 48 26 51.10 51.81 49.32 51.10 46.48 50.03 50.39 13 S145 51.81 48.61 49.32 14 53.23 50.39 54.30 48.97 49.68 49.68 48.26 15 For the above given schedule. X-chart value of: UCL CL= LCL= R-chart value of: UCL = CL - LCL = Given that: D5 = 2.115 and A5 - 0.577 Approximate answers to TWO Decimal places.62.3 65.9 73 79.9 82 89.1 92.8 97.6|78.8 || 82.4 95|70.2|79.4 82.7 91.8 72.7 78.6 94 70.6 75.6 82.9 73.5 78.6 78.2 79.8 76.3 71.4 77.8 87 77.8 85.9 8185.1 81 83.5 68.887.683.5| 94 85.7 86.2 79.6 80.6 86.7 72.4 88.6 66 81.6 76 |72.4 || 80.8 || 74.1 || 66.8 | 81.2|| 73 || 90.3| 79 83.7 82 84.2 81 67.6 82.9 71 98.6 86.5 88.3 82.7 86.7 81.4 What is the range of this data set? range = 36.3 Report the standard deviation using the rounding rules suggested in class (two more decimal places than the data reports). standard deviation =