) mean = Round to 2 decimal places if needed. b) median = Round to 2 decimal places if needed
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A: Variance = s2 = 6.465*6.465 = 41.798 n = 50
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Q: help 10 Temp 96.3 96.7 96.9 97 97.1 97.1 97.1 97.3 97.3 97.3 97.4 97.4 97.3 97.4 97.5 97.6 97.7…
A: b) Procedure:
Q: set
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Q: 35.3 42.6 44.6 47.4 47.7 48.3 50.2 51.3 51.5 55.4 56 56.4 58.5 59 59 62.6 62.6 63.3 45.2 47 47 49.6…
A: given data set…
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Q: 3 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 21 21 24 25 26 27 21 29 do 01 32 Sex Male Female…
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Q: X y 41.4 -345.4 24.2 -501.1 33.6 255.3 35.1 645.1 48.3 1159.1 37.5 411.5 40.3 -446.1 44.1 513 41.1…
A: Correlation Coefficient: X Y X - X (X - X)2 Y-Y (Y-Y)2 (X-X)(Y-Y) 41.4 -345.4 -6.293 39.60185…
Q: 3. From the following data: 9.69 13.16 17.09 18.12 23.70 24.07 24.29 26.43 30.75 31.54 35.07 36.99…
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A: Followings are the Explanation of the question
Q: x y 23.2 516.8 29.6 -1729.2 37.5 343.1 19.3 3124.3 57.7 1938.3 18.3 -1530.7 20.4 2383.3 30.8 259.6…
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Q: 21.7 28.1 29.6 24.5 23.7 23.3 22.1 28.1 29.1 16.7 23.4 22.1 18.3 29.2 23.4 27.5 30.2 23.3 21.9 22.7…
A: Here n=40 Data is given, We have to answer for mentioned questions.
Q: find the point estimate for observation
A: Given that 10.8 6.9 8.0 8.8 7.3 3.6 4.1 6.0 4.4 8.3 8.1 8.0 5.9 5.9 7.6 8.9 8.5 8.1 4.2 5.7 4.0 6.7…
Q: Here is a data set (n = 101) that has been sorted. 1 2 3 4 5 6 7 89 10 37.3 40.7 41.7 42.1 43.1 43.7…
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Q: Here is a data set (n = 117) that has been sorted. 36.8 37.9 38.7 39.4 41.9 43.9 44 45 45.5 45.6…
A:
Q: (d) Identify and interpret a 95% confidence interval for the mean demand and prediction in- terval…
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Q: 39.5 44.3 48.5 51.7 59.6 62.8 66.9 71 45.6 46.7 57 46.4 68.2 36.4 54.6 64.4 60.4 51.7 54.8 63.3 58.1…
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A: Provided data is ; 34.2 33.6 33.8 34.7 33.1 34.7 34.2 33.6 34.5 35 33.4 32.5 35.6…
Q: X 57.9 35.3 55.7 57.5 55.1 55.6 51.7 60.3 151.6 -5.3 612.9 273.3 -132.1 249.5 29.2 -618.1 35.1…
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Q: Here is a data set (n=117) that has been sorted. 22.2 25.3 27 28.2 29.5 30 31.5 31.6 31.8 32.1 32.2…
A: Introduction A percentile shows how a score compares with the other scores from the same data set.
Q: a. Find the minimum for this data set. minimum = = length (cm) b. Find the first quartile for this…
A: The question is about measures.Given :Total no. of observations ( n ) = 54
| 21.7 | 29.5 | 30.9 | 36.9 | 40.3 | 45.3 | 52.3 |
| 55.4 | 54 | 29.3 | 35.1 | 53.2 | 42.9 | 44.2 |
| 36 | 45.9 | 33.3 | 36.9 | 53.2 | 37.8 | 45.7 |
| 31.4 | 31 | 30.2 | 34.9 | 39.2 | 58.6 | 46.5 |
| 44.2 | 35.1 | 43.7 | 49.8 | 36.9 | 41.2 | 30.6 |
| 44.4 | 39.8 | 42.7 | 37.6 | 31.4 | 40.6 | 36.9 |
| 46.7 | 54 | 33.8 | 30.6 | 45.9 | 43.7 | 28.8 |
| 51.2 | 38 | 49 | 34.3 | 39.4 | 41 | 44.2 |
| 35.1 | 44.4 | 40.2 | 47 | 32.4 | 56.4 | 56.4 |
| 37.1 | 56.4 | 47.6 | 32.7 | 31.4 | 39.2 | 39 |
a)
b)
Sample size n=70
Step by step
Solved in 3 steps
- Here is a data set (n=117n=117) that has been sorted. 26.4 26.4 28.6 29.4 31.8 32.6 32.7 32.7 32.9 33.8 34.2 34.4 34.9 34.9 35.4 35.5 36.3 36.5 36.7 36.9 37 37.2 37.3 38.3 38.4 38.5 38.6 38.8 38.8 38.9 39 39.2 39.4 39.4 39.5 39.8 39.8 40 40.1 40.2 40.2 40.4 40.6 40.8 41.1 41.3 41.5 41.5 41.9 41.9 42.1 42.3 42.8 42.8 43.2 43.3 43.4 44.2 44.3 44.5 44.6 44.7 44.7 44.7 44.8 45 45 45 45.2 45.2 45.7 45.9 46.1 47 47.1 47.2 47.8 47.9 48.2 48.4 48.4 48.6 48.7 49.4 50 50 50.2 50.3 50.3 50.4 50.6 50.9 51 51 51.8 52.2 52.6 53 53.1 53.8 54.1 54.2 54.2 54.2 54.6 55.3 55.3 55.4 55.9 56.1 56.6 56.8 57 57.2 57.5 60.7 62.4 Find the 75th-Percentile:P75 =3) see picturesAn elecu ility wishes to examine the relationship between temperature and electricity use in its service region during the summer months. The bivariate data below give the maximum temperature (denoted by x, in degrees Fahrenheit) and the electricity use (denoted by y, in thousands of kilowatt hours) for a random sample of sixteen summer days. The data are shown in the Figure 1 scatter plot. Also given is the product of the temperature and the electricity use for each of the sixteen days. (These products, written in the column labelled "xy", may aid in calculations.) Electricity Temperature, use, y (in thousands of kilowatt xy (in degrees Fahrenheit) hours) 97.0 300.7 29,167.9 400- 89.2 304.2 27,134.64 375+ 99.4 385.0 38,269 75.9 284.1 21,563.19 350- 71.4 274.3 19,585.02 325- 77.8 283.3 22,040.74 300- 83.9 263.4 22,099.26 275- 73.5 231.1 16,985.85 250- 81.0 325.8 26,389.8 225- 82.2 296.3 24,355.86 72.4 292.0 21.140.8. Electricity use (In thousands of kilowatt hours)
- 4) The table shows, for the years 1997–2012, the mean hourly wage for residents of the town of Pity Me and the mean weekly rent paid by the residents. Mean hourly wage (dollars) Mean hour. Mean weekly rent (dollars) Mean weekly rent (dollars) Year Year (dollar 116 1997 57 10.38 2005 28.99 59 113 1998 10.89 2006 28.63 2007 1999 62 11.96 112 36.75 14.55 2000 63 12.46 2008 86 17.90 2001 86 17.72 2009 90 2002 2010 119 28.07 90 14.67 131 35.24 2003 2011 17.97 100 122 2004 2012 22.23 31.87 115 Find the least squares line that uses mean hourly wage to predict mean weekly rent. Round values to the nearest ten-thousandth. Include a scatter plot with the regression linoy 67.7 21.7 184.2 73.9 64.2 19.6 73.1 31.9 86.8 28 83.7 24.8 58.5 8.8 84.9 38.4 78.5 10.7 67.8 39.5 52.5 23.7 49 22 74.4 10 82 29.4 77.4 19.3 82.8 28 72.4 11.4 79 23.7 85.6 48.7 65.2 17.4 79.2 16.2 107.8 49 69.4 19.7 79.1 31.7 82.1 14.6 75.9 29.4 Make a scatter plot of this data. Which point appears to be an outlier? |(184.2,73.9) (Enter as an ordered pair.)Please use SAS, if possible. Anything else is acceptable. Thanks. Table 11.17 X1 X2 X3 X4 X5 X6 X7 X8 X9 Y 4.918 1 3.472 0.998 1 7 4 42 0 25.9 5.021 1 3.531 1.5 2 7 4 62 0 29.5 4.543 1 2.275 1.175 1 6 3 40 0 27.9 4.557 1 4.05 1.232 1 6 3 54 0 25.9 5.06 1 4.455 1.121 1 6 3 42 0 29.9 3.891 1 4.455 0.988 1 6 3 56 0 29.9 5.898 1 5.85 1.24 1 7 3 51 1 30.9 5.604 1 9.52 1.501 0 6 3 32 0 28.9 5.828 1 6.435 1.225 2 6 3 32 0 35.9 5.3 1 4.988 1.552 1 6 3 30 0 31.5 6.271 1 5.52 0.975 1 5 2 30 0 31 5.959 1 6.666 1.121 2 6 3 32 0 30.9 5.05 1 5 1.02 0 5 2 46 1 30 8.246 1.5 5.15 1.664 2 8 4 50 0 36.9 6.697 1.5 6.902 1.488 1.5 7 3 22 1 41.9 7.784 1.5 7.102 1.376 1 6 3 17 0 40.5 9.038 1 7.8 1.5 1.5 7 3 23 0 43.9 5.989 1 5.52 1.256 2 6 3 40 1 37.9 7.542 1.5 5 1.69 1 6 3 22 0 37.9 8.795 1.5 9.89 1.82 2 8 4 50 1 44.5 6.083 1.5 6.727 1.652 1 6 3 44 0 37.9 8.361 1.5 9.15 1.777 2 8 4 48 1 38.9 8.14 1 8 1.504 2 7 3 3 0 36.9 9.142 1.5 7.326 1.831 1.5 8 4 31 0…
- PRACTICE ANOTHER The following data represent crime rates per 1000 population for a random sample of 46 Denver neighborhoods.† 63.2 36.3 26.2 53.2 65.3 32.0 65.0 66.3 68.9 35.2 25.1 32.5 54.0 42.4 77.5 123.2 66.3 92.7 56.9 77.1 27.5 69.2 73.8 71.5 58.5 67.2 78.6 33.2 74.9 45.1 132.1 104.7 63.2 59.6 75.7 39.2 69.9 87.5 56.0 154.2 85.5 77.5 84.7 24.2 37.5 41.1 (a) Use a calculator with mean and sample standard deviation keys to find the sample mean x and sample standard deviation s. (Round your answers to one decimal place.) x = crimes per 1000 people s = crimes per 1000 people (b) Let us say the preceding data are representative of the population crime rates in Denver neighborhoods. Compute an 80% confidence interval for μ, the population mean crime rate for all Denver neighborhoods. (Round your answers to one decimal place.) lower limit crimes per 1000 people upper limit crimes per 1000 people Compute a 95% confidence interval for…214.26 356.79 424.96 231.51 353.89 552.75 281.93 303.66 518.15 234.62 336.36 514.07 246.55 341.26 575.65 277.97 452.59 652.23 267.33 482.71 775.82 209.67 445.44 769.54 372.05 428.84 765.86 320.02 485.78 819.89. 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…Problem 2: Supplement for Weightlifting Continued In comparison to the previous problem, let us say that the weightlifting supplement company informed you that how long a female weightlifter has been lifting impacts the amount of muscle mass they can gain. Suppose that you changed your data collection method from what you did in Problem 1. Now you randomly select one weightlifter from each group (supplement and placebo) that have been lifting for 39 to 40 months. Next, you randomly sample one weightlifter from each group that have been lifting for 37 to 38 months. Then, you continue this process until the 20th pair of weightlifters have lifted for 2 months or less. The data contains the whole body lean mass difference in pounds and training experience in months. Can you infer that the supplement group gained more muscle mass on average than the placebo group? Use a = 0.05 for any hypothesis test. List the conditions necessary to complete this probiem. g) Calculate the test statistic…
- The percentage (rounded to the nearest whole percent) of persons from each state completing 4 years or more of college is listed below. 23 24 26 14 30 36 34 28 26 22222NENN FREEBENENE 25 57 27 23 24 28 23 AN 28 24 a. Mean = 31 27 21 25 a. b. 24 34 C. 37 d. 38 e. 33 19 yes O no 27 21 ANNNNNN 33 24 30 24 25 24 26 21 b. Median = c. Mode = d. Sample Standard Deviation = places) e. Population Standard Deviation 25 places) f. Five-Number Summary: g. Interquartile Range h. Lower Fence = 2NN2852428 31 29 15 26 i. Upper Fence = j. Are there outliers in the data? = (round to one decimal place) (round to three decimal (round to three decimalplease help asap i will upvote!!create a frequency distribution table Data Set R 31.0 34.7 34.9 38.3 31.6 31.1 34.9 32.0 33.3 31.3 28.2 29.3 34.0 Mu-31.2 26.4 39.5 33.8 39.0 29.2 29.3 32.3 32.5 38.4 31.6 29.1 25.8 28.3 sd=4.5 37.6 33.9 17.9 33.7 41.1 38.6 n=46 28.0 28.9 38.3 23.6
