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Consider the following population:
71
89
65
97
46
52
99
41
62
88
73
50
91
86
92
60
70
98
56
80
63
55
61
40
95
a) Determine the mean and variance.
Mean
71.23333
Sample Variance
326.392
b) Determine the percentage of data values that fall in each of the following intervals: x + -2s, x + -3s, x + -4s.
Compare these with the percentages specified by Tchebysheff's Theorem.
Can we conclude that there is a positive association between the size of the home and the selling price? Use the .05 significance level.
A certain firm specializing in the manufacture and sale of free time clothing has 80 retail stores in Florida and 140 in California. With each state as a stratum, the firm wishes to estimate average sick-leave time per employee for the past year
Is the z value positive or negative? Explain why it should be positive or negative.
Regression equation to predict the dependent variable using multiple regression analysis:
Construct a 95% confidence interval for the average amount its credit card customers spent on their first visit to the chain's new store in the mall assuming that the amount spent follows a normal distribution.
Summarize the relationship between sample size and confidence level.
Two groups of students are asked to rank their preference for six types of soft drinks. The following table shows their rankings.
Multiple comparison procedures are going to be done using the Bonferroni method with α = 0.10. The value of t** is 2.2426. The smallest minimum significant difference (MSD) for finding a difference between groups is computed as 17.68. The correct ..
Solve the mean and standard deviation equations
A survey conducted by the American Automobile Association showed that the family of four spends an average of $215.60 per day while on vacation. Suppose a sample of 64 families of four vacationing at Niagara Falls results in a sample mean of $252...
At the 0.05 level of significance, is there sufficient reason to believe that the integers are not being generated uniformly?
The distribution of 9 ounce bags of a particular bag of potato chips is approximately Normal with a mean of 9.12 ounces and a standard deviation of 0.15 ounces.
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