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The manager of a paint supply store wants to determine whether the mean amount of paint contained in 1-gallon cans purchased from a nationally known manufacturer is actually 1 gallon. You know from the manufacturer's specifications that the standard deviation of the amount of paint in a 1-gallon can is 0.02 gallons. You select a random sample of 50 cans, and the mean amount of paint per 1-gallon can is 0.995 gallons.
a. Is there evidence that the mean amount is different from 1.0 gallons?
b. Compute the p-value for your test
c. Construct a 99% confidence interval estimate of the population mean amount of paint in a 1-gallon can.
There is concern about the percent of on-time flights. A recent survey of two major airlines yielded the following results. At α = 0.05 test the claim that there is a difference in proportions of on-time flights.
How would you use the binomial distribution in making a business decision during a normal day of work in the career of your choice?
At α = 0.01, is the degree of certainty independent of credits earned?
A case-control study of relationship between liver cirrhosis among both non alcoholics and alcoholics. Describe whether smoking is confounder.
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.
A person must score in the upper 2% of the population on an IQ test to qualify for member ship in Mensa, the international high-IQ society. If IQ scores are normally distributes with a mean of 100 and a standard deviation of 15, what score must a ..
Construct a 95% confidence interval for the average amount its credit card customers spent on their first visit to the chain's new store in the mall assuming that the amount spent follows a normal distribution.
Use this information to compute a 95% confidence interval for average number of credit cards carried by students.
Fitting of simple linear regression equation - A researcher wishes to determine whether a person's age is related to the number of hours he or she jogs per week.
At the .05 level of significance, is there evidence of a difference in variability in the shipping time between the two outlets? What decision should the carpet manufacturer make?
What would that evaluation be and what is the margin of error?
Z score on comparison distribution for sample score and your conclusion. Suppose that all population are normally distributed.
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