Attendance records at a school show the number of days each student was absent during the year. The days absent for each student were as follows. 0 2 3 4 2 3 4 6 7 2 3 4 6 9 8
Attendance records at a school show the number of days each student was absent during the...
Attendance records at a school show the number of days each student was absent during the year. The days absent for each student were as follows: 8 2 4 3 2 7 6 0 9 3 3 4 2 4 6Create a dot plot for this data
4) A statistics professor kept attendance records and recorded the number of absent students per class. This data is displayed in the following histogram with the frequency of each number of absent students shown above the bars. Histogram Frequency Number of students Absent per class How many total classes do these data represent? A) 46 B) 100 C) 129 D) 150
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,...
A random sample of 57 children with working mothers showed that they were absent from school an average of 5.3 days per term with a standard deviation of 1.8 days. If days absent follows a normal distribution, determine the critical value for the test statistic (z or t) needed to build a 98% confidence interval for the average number of days absent per term for all children. State the positive value only exactly as found in the table (3 decimal...
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]...
Employers want to know which days of the week employees are absent in a five-day work week. Most employers would like to believe that employees are absent equally during the week. Suppose a random sample of managers were asked on which day of the week they had the highest number of employee absences. The results were distributed as follows: Number of Absences on Monday where 8 Number of Absences on Tuesday where 9 Number of Absences on Wednesday where 19...
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...
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...
Question #2: A local company is concerned about the number of days missed by its employees due to illness. A random sample of 10 employees is selected. The number of days absent in one year is listed below. An incentive program is offered in an attempt to decrease the number of days absent. The number of days absent in one year after the incentive program is listed below. Test the claim that the incentive program cuts down on the number...
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...