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In a previous example about the body mass index of young women we developed a 95% confidence interval for the mean body mass index (BMI) of women aged 20 to 29 yrs, based on a national random sample of 654 such women. We assumed there that the population standard deviation was known to be 7.5. In fact, the sample data had mean BMI x(bar)=26.8 and standard deviation s=7.42. What is the 95% confidence interval for the mean BMI of all young women?
Listed below are weights in grams from a sample of these bats. Construct a 95% confidence interval estimate of their mean weight.
he population consists of all 15 year olds living in the attendance district of a local high school. You plan to obtain a simple random sample of 200 such residents by using the roster of the high school as the sampling frame.
A loan application is received this morning. What is the probability that:
At a food processing plant, a machine produces 10 lb bags of sugar. In this particular process, it is important that the sugar content does not go below 9.9 lbs. In fact, when the bags of sugar are less than 9.9 lbs, maintenance is performed on th..
A major department store chain is interested in estimating the average amount its credit card customers spent on their first visit to the chain's new store in the mall.
A local bank reported to the federal government that its 5,246 saving accounts have a mean of $1,000 and standard deviation of $240.
Develop the estimated regression line. Jensen expects to use the machine 30 hours per week, develop a 95% prediction interval for the company's annual maintenance expense.
Describe how you would develop a random sample from among students.
A survey taken in a restaurant shows the following number of cups of coffee consumed with each meal. Construct an ungrouped frequency distribution.
A big part of regression analysis involves hypothesis testing. For example the t-score for b1 tests a hypothesis...what is the H0 and Ha for this hypothesis?
Multiple comparison procedures are going to be done using the Bonferroni method with = 0.05. The value of t** is 2.4667. Which of the following is the appropriate conclusion from carrying out these multiple comparisons?
Carryout the ANOVA and, if essential, post-hoc comparisons. Conduct a graph to represent group differences, and interpret ANOVA in a paragraph written in APA style.
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