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Suppose we are interested in mean decay rate of a compound in the Mill River. Determine the mean decay rate is greater than 3.0 per day. When you test a random sample of size 15, the sample mean decay rate is 3.15. If an assumed known standard deviation of sample is 0.20 per day.
1. What are the appropriate hypotheses?
2. What is the rejection region for 1%?
3. Test hypothesis with the significance level of 1% and explain your conclusion.
4. What is p-value? Compare the conclusion using the same significant level of 1% with previous hypothesis testing.
5. Find a 99% confidence interval for the mean decay rate and compare the conclusion with previous hypothesis testing and p-value.
you are asked to analyze data calls and technical issues that were reported. As you analyze, you look at the mode, would this be the best central tendency analysis to provide to your supervisor listing.
Assume that the measurements came from a normal distribution. The variability of the manufacturing process is unknown means the same as the standard deviation is unknown.
a regression of the amount of calories in a serving of breakfast cereal vs. the amount of fat in the cereal gave the
Quadratic equations can be solved by graphing, using the quadratic formula, completing the square, and factoring. What are the pros and cons of each of these methods?
Supposing that both populations are normally distributed, construct a 99% confidence interval for the ratio of the two population variances.
The owner of a local golf course wanted to determine the average age of the golfers that played on the course. In a random sample of 30 golfers that visited his course, the sample mean was 48.34 and the standard deviation was 9.327. Calculate a 90..
A sample of 40 ovservations is selected from one population. The sample mean is 102 and the sample standard deviation is 5. A sample of 50 observers is selected from a second population.
Determine change in average number of weekly viewers from to?
suppose you have data from an experiment with 3 levels of the independent variable. explain why an anova followed by
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A mean of 45 months and a standard deviation of 8 months. if a random sample of 600 batteries is selected, how many batteries would weigh last more than 48 months?
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