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Suppose a study of 196 randomly sampled privately insured adults with incomes over 200% of the current poverty level is to be used to measure out-of-pocket medical expenses for prescription drugs for this income class. The sample data are in the fileDrug Expenses.
Based on the sample data, construct a 95% confidence interval estimate for the mean annual out-of-pocket expenditures on prescription drugs for this income class. Interpret this interval.
consider the following question.a girl having two siblings is chosen at random. what is the probability that she has no
a sample survey interviews an srs of 267 college women. suppose that 70 of all college women have been on a diet within
when 325 college students are randomy selected and surveyed its found that 117 own cars. construct a 99 confidence
How likely is it that the store owner will make at least $7,000 if she implements your suggestion?
a clinical trial is run comparing a new drug for high cholesterol to a placebo. a total of 40 participants are
a fair coin is tossed four times. what is the probability that the number of heads appearing on the first two tosses es
What is the computed z-value for testing the null hypothesis that the proportion of successes in Population 1 exceeds the proportion of successes in Population
If the probability that it will rain tomorrow is 0.33, then what is the probability that it will not rain tomorrow?
What does a squared correlation coefficient represent? Also, does the strength of the correlation depend on the direction? Finally, does correlation imply causation.
Standard deviation equal to 500 and 50 hours, respectively. Find the probability that a random sample of 15 bulbs will have an average life of less than 475 hours.
In as sample of 855 bartenders, 48% report hearing complaints from patrons about their jobs. If the maximum error of estimate for the proportion of bartenders hearing job complaints is 4.4 percentage points, what is the degree of confidence used?
A store asked 250 of its customers whether they were satisfied with the service or not. The responses were also classified according to the gender of the customers. We want to study whether there is a relationship between satisfaction and gender.
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