The following data represent the number of days absent per year in a population of six...
The following data represent the number of days absent per year in a population of six employees in a small company: 1 3 6 7 9 10
a. Compute the standard deviation of all the sample means. How does the standard deviation of the sample means and the population standard deviation compare?
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The following data represent the number of days absent per year
in a population of six...
The following data represent the number of days absent per year in a population of 6...
The following data represent the number of days absent per year in a population of 6 employees of a small company: 1 3 6 7 9 10 Assuming that you sample without replacement, select all possible samples of size n = 3 and construct the sampling distribution of the sample mean and the sample median. Compute the mean of all sample means and all sample medians. Are they equal? What is this property? Which estimator, the sample mean or the...
Question 1 The following data represent the number of days absent per year in a population...
Question 1 The following data represent the number of days absent per year in a population of four employees of a small company: 1 3 6 7 Assuming that you sample without replacement, select all possible samples of n = 2 and construct the sampling distribution of the mean. Compare the mean of all the samples means and also compute the population mean. Are they equal? What is the property called? Repeat (a) for all the sampling distribution of the...
The data below represent the number of days absent, x, and the final grade, y, for...
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below. No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final grade, y 87.6 84.7 81.8 79.4 76.4 72.0 62.6 670 64.1 61.2 (a) Find the least squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y,...
The data below represent the number of days absent, x, and the final grade, y, for...
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final grade, y 88.9 86.0 82.9 80.3 77.4 72.9 63.4 67.7 64.7 61.7 (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as...
1 4 8 9 The data below represent the number of days absent, x, and the...
1 4 8 9 The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) th below. No. of absences, 0 2 3 5 6 7 Final grade, y 87.7 84.9 82.0 79.6 76.7 72.4 62.9 67.4 64.6 61.8 (a) Find the least-squares regression Line treating the number of absences, x, as the explanatory variable and the final grade, y, as the response...
The data below represent the number of days absent, x, and the final grade, y, for...
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below. No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final grade, y 88.1 85.1 82.1 79.6 76.5 72.0 62.3 66.7 63.7 60.7 (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as...
Consider the number of days absent from a random sample of six students during a semester:...
Consider the number of days absent from a random sample of six students during a semester: A= {2, 3, 2, 4, 2, 5} Compute the arithmetic mean, geometric mean, median, and mode by hand and verify the results using R Arithmetic Mean: X=i=1nXin=2+3+2+4+2+56=3 mean(data2$absent) [1] 3 Geometic Mean: GMx=Πi=1nX11n=2∙3∙2∙4∙2∙516=2.79816 >gmean <- prod(data2$absent)^(1/length(data2$absent)) > gmean [1] 2.798166 Median: X=12n+1th, Xi2,2,2,3,4,5, n=6=126+1th ranked value=3.5, value=2.5 days absent >median(data2$absent) [1] 2.5 Mode: Most frequent value=2 > mode <- names(table(data2$absent)) [table(data2$absent)==max(table(data2$absent))] > mode [1]...
You wish to estimate the mean number of travel days per year for salespeople. The mean...
You wish to estimate the mean number of travel days per year for salespeople. The mean of a small pilot study was 150 days, with a standard deviation of 36 days. If you want to estimate the population mean within 7 days, how many salespeople should you sample? Use the 90% confidence level.
The following data represent the number of sweatshirts sold for each of the past six days...
The following data represent the number of sweatshirts sold for each of the past six days for a department store. Day Sales 1 7 2 12 3 8 4 4 5 9 6 14 Using an exponential smoothing with trend adjustment technique with alpha equal to 0.3 and beta equal to 0.6, what is the sales forecast for Day 7? Round to the final answer to one decimal place.
You need to estimate the mean number of travel days per year for outside salespeople. The...
You need to estimate the mean number of travel days per year for outside salespeople. The mean of a small pilot study was 150 days, with a standard deviation of 30 days. If you must estimate the population mean within 6 days, how many outside salespeople should you sample? Use the 98% confidence level.
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below. No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final grade, y 87.6 84.7 81.8 79.4 76.4 72.0 62.6 670 64.1 61.2 (a) Find the least squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y,...
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final grade, y 88.9 86.0 82.9 80.3 77.4 72.9 63.4 67.7 64.7 61.7 (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as...
1 4 8 9 The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) th below. No. of absences, 0 2 3 5 6 7 Final grade, y 87.7 84.9 82.0 79.6 76.7 72.4 62.9 67.4 64.6 61.8 (a) Find the least-squares regression Line treating the number of absences, x, as the explanatory variable and the final grade, y, as the response...
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