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Assume that the heights of 5 year old boys are normally distribued with a mean of 100cm and a standard deviation of 60. What is the sampling distribution of the mean for a sample size of 900 and its confidence interval at the 99% level?
Set up the null and alternative hypotheses, and perform the hypothesis test with a significance level of 0.05.
If a filled container of juice is selected at random, what is the probability that it was filled on machine I and is a conforming container?
Bob throws six dice and wins if he scores at least one ace. Alice throws 12 dice and wins if she scores at least two aces. Who has the greater probability of winning?
Can we conclude that car size is dependent on marital status? YES or NO (circle one)
Identify the point estimate of the average number of available hotel rooms in this lesson from each sample. Construct and Interpret a 95% confidence level for the true mean number of available hotel rooms.
How large sample size must be taken to be 95% confident.
When a large shipment of alternators is received at the plant, 100 are tested and if more than two are nonconforming, the shipment is returned to the alternator manufacturer. What is the probability of returning a shipment?
A sample of n = 25 participants and obtains a t statistic of t = 2.21. Which of the following is the correct decision for a two-tailed test?
What percent of the sales representatives earn more than $42,000 per year? What percent of the sales representatives earn between $32,000 and $42,000?
The trend line y = 0.70 + 0.005t was calculated from quarterly data for 1999 -2003, where t = 1 for the first quarter of 1999. The seasonal indexes computed from the trend line for the four quarters of the year 2004 were .85, 1.05, 1.15, and .80, ..
The person's body fat percentage, and ‘y' is the person's lean mass percentage. Predict the lean mass for a person who is 27 years old and has a body fat percentage of 4.5%.
The standard deviation was $21,330. At the .01 significance level, can we conclude that there is more variation in the selling prices of the oceanfront homes?
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