What is the standard deviation of X for the probability distribution given in the following table?
1.7
3.13
4.12
4.52
9.81
Suppose that 77% of all college students, 76% of all high school students, 86%of all middle school students, and 85% of other students used the Internet for e-mail. Among all students, 12% were college students, 13% were high school students, and 69% were middle school students. What percentage of the students who used the Internet for e-mail were high school students?
12
13
17
22
88
For the distribution drawn here, identify the mean, median, and mode.
A = mean, B = mode, C = median
A = median, B = mode, C = mean
A = mode, B = mean, C = median
A = mode, B = median, C = mean
Let X = the average number of hours an employee exercised each week for the previous year, and Y = the annual dollar amount of health care claims made by the employee for the year. The collected data for a large sample employees are summarized as follows. If an employee exercises an average of 13 hours each week, then what would be the number of dollars in health care claims for this employee?
$5960
$3800
$3080
$6200
$4040
A population has a mean of 108 and a standard deviation of 3.46. If a random sample of 64 is taken, what is the probability that the sample mean I between 107.135 and 107.425?
0.033
0.042
0.069
0.025
0
The nonparametric counterpart of the t test to compare the means of two independentpopulations is the _____.
chi-square goodness of fit test
chi-square test of independence
Mann-Whitney U test
Wilcoxon test
Friedman test
The nonparametric counterpart of the t test to compare the means of two related samples is the _____.
chi-square goodness of fit test
chi-square test of independence
Mann-Whitney U test
Wilcoxon test
Friedman test
The nonparametric alternative to the one-way analysis of variance is the ______.
chi-square goodness of fit test
Kruskal-Wallis test
Mann-Whitney U test
Wilcoxon test
Friedman test
The nonparametric alternative to analysis of variance for a randomized block design is the _____.
chi-square test
Kruskal-Wallis test
Mann-Whitney U test
Wilcoxon test
Friedman test
The following graph indicates a _____.
2×3 factorial design with interaction
2× 4 factorial design with interaction
4× 2 factorial design with no interaction
completely randomized design
Maureen McIlvoy, owner and CEO of a mail order business for wind surfing equipment and supplies, is reviewing the order filling operations at her warehouses. Her goal is 100% of orders shipped within 24 hours. In previous years, neither warehouse has achieved the goal, but the East Coast Warehouse has consistently out-performed the West Coast Warehouse. Her staff randomly selected 200 orders from the West Coast Warehouse (population 1) and 400 orders from the East Coast Warehouse (population 2), and reports that 190 of the West Coast Orders were shipped within 24 hours, and the East Coast Warehouse shipped 356 orders within 24 hours. Assuming α = 0.05 , the appropriate decision is .
Data from a randomized block design are shown in the following table.
Using α = 0.05 , the appropriate decision for the treatments is _____.
do nothing
A random sample of size 49 is taken from a population of 200 members. The sample mean is 56 and the population standard deviation is 10.
(1) Construct a 95% confidence interval to estimate the population mean.
(2) What is the point estimate of the population mean?
Suppose a production facility purchases a particular component part in large lots from a supplier. The production manager wants to estimate the proportion of defective parts received from this supplier. He believes the proportion defective is no more than 0.2 and wants to be within 0.02 of the true proportion of defective parts with a 90% level of confidence. How large a sample should she take?
Assume that x follows a normal distribution with mean equal to 50 and standard deviation equal to 6. The null hypothesis is u equal to 50, the alternative hypothesis is u greater than 50. With sample size equal to 16, if the sample mean greater than 53 then the null hypothesis will be rejected, then
(1) what is the significance level?
(2) what is the type II error if the actual mean equal to 55?
(3) what is the p-value if the sample mean is 52?
The null hypothesis is u less or equal to 68, the alternative hypothesis is u greater than 68. If the significance level is 0.05, standard error is 5, what the sample size is needed if the actual mean equal to 69 and the power is 0.95
The following ANOVA table is from a multiple regression analysis.
Source | df | SS | MS | F | P |
Regression | 5 | 2000 | |||
Error | 25 | ||||
Total | 2500 |
The sample size for the analysis is _____.
The number of independent variables in the analysis is _____.
The observed F value is _____.
The value of the standard error of the estimate se is _____.
The adjusted R2 value is _____.
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