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The correlation is misleadingly small Example: For married couples with one or more offspring, a demographic study was conducted to determine the effect of the families annual income (at marriage) on time (months) between marriage and the birth of the first child. Clearly a straight line model does not accurately describe what is going on with this data. Does this mean there is no relationship between income and time?
Suppose it is known that if you offer free samples o a product, at least 52% of adults are more likely to buy the product. You interview a random sample of 50 adults.
Shows a sample mean of 1,261 with a standard deviation of 59. Should Pennsylvania adopt the new system for all toll roads in the state?
It was reported that 20 readers responded and 87% said "no" while 13% said "yes." Recognize 4 major flaws in this survey.
The correct set of hypotheses to test the effect of the bonus plan, the difference between the t and z distributions
A simple random sample is found to be (0.7, 2.1). Can we conclude that 90% of households have between 0.7 and 2.1 children? Justify your answer.
If 15 golfers check in using this process, the expected number of players who will actually show up is ______; the variance for the number of players who actually show up is ______?
Conduct a hypothesis test at the 6% level of significance to determine whether there is evidence that the true mean fill volume for all jugs of softener differs from 120 ounces.
The mean of a normal distribution probability is 400 pounds. The standard deviation is 10. What is the area between 415 pounds and the mean of 400 pounds? (Round to 4 decimals)
The same probability of getting choosen. In how many different ways can the teams be chosen so taht the number of employees on each project are as follows: 5 1 10.
A survey is being planned to determine the mean amount of time corporation executives watch television. A pilot survey indicated that the mean time per week is 12 hours, with a standard deviation of 3.0 hours.
A. What is the 90% confidence interval for the daily sales at all restaurants. B. What is the probability that the average sales are really $32,000 or more per day? Assume that the population average is $30,000 per day and the std. Deviation is $2..
Make a worksheet in Excel for your calculations. (b) Make a histogram of the data. Would you be justified in using a parametric t test that assumes normality?
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