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In February 2002, the Argentine peso lost 70% of its value compared to the United States dollar. This devaluation drastically raised the price of imported products. According to a survey conducted by AC Nielsen in April 2002 68% of the consumers in Argentina were buying fewer products than before the devaluation, 24% were buying the same number of products, and 8% were buying more products. Furthermore, in a trend toward purchasing less-expensive brands, 88% indicated that they had changed the brands that they purchased. Suppose that the following set of results was reported.
Number of Products PurchasedBrands Purchased Fewer Same More TotalSame 10 14 24 48Changed 262 82 8 352Total 272 96 32 400
What is the probability that a consumer selected at random:
a. purchased fewer products than before?
b. purchased the same number of products as before?
c. purchased the same number or more products than before?
d. purchased fewer products and changed brands?
e. purchased the same number of products and the same brands?
Using a 1% level of significance, can we say that there is a difference in the average waiting time between the two shops? Find the critical value(s).
One sample has SS = 48 and a second sample has SS = 32. When both samples have n =5, what is each sample variance and computed pooled variance?
We want to test the hypothesis that the population variances are equal.
An advisory group decided to investigate this claim, believing it was too large. A sample of 200 traffic accidents this year showed 74 persons were also involved in another accident within the last five years. Use the 0.01 significance level. Show..
When using the distribution of sample means to estimate the population mean, what is the benefit of using larger sample sizes?
Why are you no longer directly comparing sample means? How does using the F test - the analysis of variance (ANOVA) reduce your Type I error rate? What is the difference between a within-groups and a between-groups variance?
At 0.05 level of significance, is there evidence of noteworthy difference in variation in sales among different aisle locations?
Using random numbers of 0.1562, 0.9821, 0.3409, 0.5594, and 0.7758, compute the time required for each of five simulated maintenance checks of the airplaine's landing gear.
From past data, it is recognized that company's production process results in normally distributed yield strengths. Test company's claim at a = 0.05.
If there is relationship between parental income and SAT score, why can't we bring to a close that differences in score are caused by differences in parental income.
We assume that we have selected two independent random samples from populations having proportions p 1 and p 2 and that p-hat 1 = 800/1000 and p-hat 2 = 950/1000
The mean diastolic blood pressure for random sample of 90 people was 92 millimeters of mercury. If the standard deviation of individual blood pressure readings is known to be 12 millimeters of mercury
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