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Problem # 1:
A random sample of 81 weeks showed Hootch Springs Water Company to have an average weekly sales level of $8500 with a sample standard deviation of $810. Construct the 90% and 95% interval estimates for the population mean weekly sales.
Problem # 2:
Karefree State University has an enrollment of 18,000. Researchers took a sample of 900 and found 477 students wanted a Field Hockey team. Construct the 95% and 99% Interval estimates for the population proportion.
Consider the two previous problems. At 95% confidence what sample sizes would you need:
A. to reduce the margin of error in problem #1 to 100?
B. to reduce the margin of error in problem #2 to .025?
The random variable X has which of the following probability distributions and What is the probability that no student wins
What happens to the expected return and standard deviation of returns of the portfolio in Part a if the following conditions exist?
Find out the upper and lower bounds on average life expectancy of the Canadian women such that at least 90% of all population is included.
High levels of glucose in the blood are indications of diabetes, which is becoming more prevalent in the United States. Diabetes can lead to many complications such as blindness and heart disease. A random sample of 180 individuals had their blood su..
Formulate the hypotheses that can be used to determine whether union membership increased in 2006.
A company makes camshafts. The camshaft lengths need to be within a certain tolerance or they will not fit. They have produced x bar and s charts
For all questions, clearly explain/show your answers. For the Analysis section, justify your answers with the appropriate graphs, statistics, equations, etc.
Suppose that the results of the sample lead to rejection of the null hypothesis. Classify that conclusion as a:
An experiment was carried out to assess the effects of four tomato varieties and four planting densities on yield. There were 64 plots, and each of the 16 factor combinations was randomly assigned to 4 plots.
What is the probability that a cereal would be high calorie, given that is low fiber? In other words, what is P (high calorie, given low fiber)?
Determine the average and the variation for Brand 1 price, sales market share, and total revenue, using the weekly market survey data (descriptive statistics).
Explain the logic of what you have done, writing as if you are speaking to someone who has never heard of correlation (but who does understand the mean, deviation scores, and hypothesis testing);
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