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A vinyl siding company claims that the mean time to install siding on a medium-size house is at most 20 hours with a standarddeviation of 3.7 hours. A random sample of 40 houses sided in the last three years has a mean installation time of 20.8 hours.
1) At the 0.05 significance level, can a claim be made that it takes longeron average than 20 hours to side a house?
2) State the null and alternate hypotheses
3) State the decision rule
4) Compute the value of the test statistic
5) Formulate the decision rule
6) What is your decision regarding the null hypothesis and interpret.
Use Bayes's rule to find the conditional probability that Julianne is a carrier, given that she and Jason have one child who does not have cystic fibrosis.
Use a test of the difference between proportions when answering these questions.
Expalin what would be the appropriate statistical procedure to test the following hypothesis: Triglyceride values are a good predictor of weight in obese adults.
In looking at your business, when and why would you want to use a one-sample mean test (either z or t) or a two-sample t-test? Create a null and alternate hypothesis for one of these issues. How would you use the results?
Determine the largest plausible average balance for the accounts of those using her managed fund in which you could have 90% confidence.
To determine whether the mean is greater than 16 ounces using large sample test.
An experiment involves rolling a fair six-sided die repeatedly. How many times must the die be rolled for a {6} to result at least once with probability greater than or equal to 0.6 ?
Findout the margin of error for this survey if we want a 99 percent confidence in our estimate of the percent of adults over 50 who take vitamin supplements.
Which statistical analysis technique should be used? What is the null hypothesis? Can an analysis be performed? Why or why not?
The times needed to fall asleep are assumed to follow a normal distribution. The results for the two nights for the ten volunteers are shown below:
Which of the given experiments can be modelled by Poisson distribution?
Sketch a curve, point out the distribution (i.e., normal , student T, Chi square), critical region(s). test statistics, critical values(s) and n p-value?
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