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A recent report said that the overall mean price µ for a gallon of gas is $3.14. Assume that overall std dev. Of price is $0.21/gallon. Suppose a poll of 36 random gas stations is taken, and the sample mean price is computed from the prices at these gas stations. What is the probability that the sample mean price falls within a nickel of the State's overall mean price? i.e between 3.09 and 3.19.
Estimate u with an approximate 95% confidence interval. Estimate p, the proportion of measurements in the population that are greater than 30, with an approximate 95% confidence interval.
A random sample of 20 patients in a weight loss clinical trial lost an average of 25 pounds over an 8 week period. The sample standard deviation is 10.
Suppose that the incidence of MI is 0.005 per year among subjects who are actually take placebo and that aspirin prevents 20% of MIs
What is the level of measurement for the variable, "political ideology" measured as "Very Conservative", "Conservative","Moderate", "Liberal" and "Very Liberal".
Suggests a survey of area restaurants to see if the situation is pervasive. What do you think of this research suggestion? How could you improve on your boss's formulation of the research question?
Based on a simple random sample of one hundred an analyst estimates the average hourly wage earned by workers in a city to be $30 and computes the margin of error to be $5.
If two randoom samples of sizes n1 = 30 and n2 = 36 are selected independently from two populations with mean 78 and 85, and with standard deviations 12 and 15, respectively, then the standard error of the difference between Xbar1 and Xbar2 are eq..
Using z-scores, a population with mean = 37 and standard deviation = 8 is standardized so that the new mean is mean = 50 and standard deviation = 10. How does an individual's z-score in the new distribution compare with his/her z-score in the orig..
Is the true proportion of college women that have been on a diet within the last 12 months in this survey more than the stated proportion?
Using the results, describe the effect of an outlier or extreme value on the confidence interval.
What is the probability that the team wins tonight and that there will be a large crowd at tomorrow's game?
Of the 1,4000 homemakers sampled, 420 were able to identify the brand by name. Estimate the value of the population proportion.
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