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To test the claim using Chi-Square test for independence
A student team examined parked cars in four different suburban shopping malls. One hundred vehicles were examined in each location. Research question: At α = .05, does vehicle type vary by mall location?
Vehicle Type
Somerset
Oakland
Great Lakes
Jamestown
Row Total
Car
44
49
36
64
193
Minivan
21
15
18
13
67
Full-sized Van
2
3
10
SUV
19
27
26
12
84
Truck
14
6
17
9
46
Col Total
100
400
If it is determined that there is no difference between the population mean being represented by the sample and the mean of the population at large, then:
How many jackets should the store owner order if she wants to maximize her expected profit?
In this paragraph, be sure to make it clear how you handled the issue of conducting three planned comparisons. Also provide the ANOVA summary table for these results.
It has been claimed that women live longer than men; however, men tend to be older than their wives. Ages of sixteen husbands and wives from England were obtained. These data should be analyzed with a
Five test vehicles of each kind were crashed, with results given below. Research question: Are mean crash damages the same for these 3 vehicles?
Write the null and alternative hypotheses you would use to test the following situation.
For the 20 test scores shown, find the percentile rank for a score of 86.
The sample information is reported below. At the .10 significance level can we conclude that there is a difference in the amounts quoted?
The hypotheses tested by the one-way ANOVA F test - Evaluate the P-value of the ANOVA F test
For each problem, compute a Welch F-statistic and determine whether or not significant differences exist among the treatment conditions.
How large should n be so that the standard deviation of is no more than 0.01 and sampling distribution
What is the null and alternative hypothesis? What is your final conclusion?
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