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A watch manufacturer creates watch springs whose properties must be consistent. In particular, the standard deviation in their weights must be no greater than 2.0 grams. Fifteen watch springs are selected from the production line and measured; their weights are 8, 3, 4, 8, 1, 4, 4, 9, 9, 2, 8, 4, 9, 7, and 7 grams. Assume = 0.01.
· State the null and alternate hypotheses· Calculate the sample standard deviation· Determine which test statistic is appropriate (chi-square or F), and calculate its value.· Determine the critical value(s).· State your decision: Should the null hypothesis be rejected?
Find the probability that a randomly selected student spends between eighty and ninety percent of the time on the test. Find the expected value of X. E(X)
The sample yielded a mean content of 19.88 ounces with a standard deviation of 0.35 ounces. At 95% confidence using the p-value approach, test the hypothesis.
A marketing firm asked a random set of married and single men as to how much they were willing to spend for a vacation. At *alpha*= .05, is a difference in the two amounts?
Find a 98% confidence interval for the mean number of days required for successful completion of physical therapy for patients in the average group. Discuss the results.
Calculate and plot t he new supply schedule and indicate the new equilibrium price and quantity on your diagram
You have been asked to test whether data support company's claim? Test at α = 0.05. Suppose normality.
Perception of Time- Randomly selected statistics students of the author participated in and experiment to test their ability to determine when 1 min(or 60 seconds) has passed.
Calculate the standard deviation of the number of available rooms in that sample. Use the central limit theorem to calculate and identify the sampling distribution of the sample mean.
According to a survey 41 % of major US companies electronically monitor their employees. Suppose that 5 such companies are selected independently and at random.
Let Y denote the number of students on his bus. Compute the expectations and variances of X and Y:
The average price for a new home in a certain neighborhood is $275,000 with a standard deviation of $20,000. What is the probability that a particular home will cost between $280,000 and $300,000?
A study is conducted to assess the impact of caffeine consumption, smoking, alcohol consumption, and physical activity on the risk of cardiovascular disease.
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