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An IBD/TIPP poll conducted to learn about attitudes toward investment and retirement (Investors Business Daily, May 5, 2000) asked male and female respondents how important they felt level of risk was in choosing a retirement investment. The following joint probability table was constructed from the data provided. Important means the respondent said level of risk was either important or very important. Category Male Female Total Important 0.22 0.27 0.49 Not Important 0.28 0.23 0.51 Total 0.5 0.5 1.00 .
(a) What is the probability a survey respondent will say level of risk is important?
(b) What is the probability a male respondent will say level of risk is important? 2
(c) What is the probability a female respondent will say level of risk is important?
(d) Is the level of risk independent of the gender of the respondent? Why or why not?
(e) Do male and female attitudes toward risk differ?
Hypothesis test of difference between two means based on independent random samples, which one of the given is correct rejection region at significance level of .05?
Conditions to perform inference in regression
if we are testing the difference between the means of two normally distributed populations with samples of n1 10 n2
Airlines monitor the causes of flights arriving late. 75% of flights are late because of weather, 35% of flights are late because of ground operations. 10% of flights are late because of weather and ground operations.
You have the lab analyze the number of calories in each of the hot dog samples with the results below. What conclusions can you draw concerning the calorie content of the two types of hot dogs?
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The mean lifetime of light bulbs made by this manufacturer differs from 55 months? Can we conclude that the mean lifetime of light bulbs made here differs from 55 months?
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Consider a machine that fills soda bottles. The process has a mean of 15.9 ounces and a standard deviation of 0.06 ounces. The specification limits are set between 15.8 and 16.2 ounces. a) Compute and interpret the machine's Cp
Compute a chi-square test for goodness of fit for each of the following, using the .05 level for each. In each problem, the expected distribution is equal frequencies in each category.
we randomly choose letters one at a time without replacement from the word choose until both os have been obtained.
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