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test the claim that the proportion of the people reporting imporvement was higher amoung the experimental treatment group than the control treatment. use z= 1.96
How much toothpaste would you expect to be remaining in the tube? What is the standard deviation of the amount remaining in the tube?
Suppose that the mean blackness of today's sample of25 spots is 0.952. What conclusion can you make about theblackness of the newspaper based on this result? Explain.
In the following situations, decide whether you would use a personal interview, telephone survey, or self-administered questionnaire. Give your reasons. Answers should be 100 - 200 words each.
Test against the null hypothesis of a one sided alternative that the difference is more than 10 minutes. Use a .1 level of significance (alpha).
The probability that a woman is asked and her response is "yes" in favor of the death penalty is 0.31. The probability that the responder is a woman is 0.57. Find the probability that the response i
Describe the concept of "collectively exhaustive" and "mutually exclusive" in the context of Markov analysis. Describe the situation of the existence of an equilibrium condition in Markov analysis.
A quality control expert wants to test whether the life expectancy of these batteries has changed from its past value of 87 hours. A sample of 36 batteries showed an average life of 88.5 hours and a
four rats were found to have an average weight of 9.0 ounces with a sample standard deviation 0.7. find the 95% confidence interval of the true mean weight
In a simple random sample of 30 days, what is the probability that the mean number of daily emergency admissions is between 75 and 95?
The American Council of Life Insurance and the Life Insurance marketing and Research Association have reported that insured households with heads of households who are 35 to 44 years old had an aver
Calculate the Correlation coefficient, Coefficient of determination and SSE, and the Standard Error of Estimate
Suppose that Emanuel picks a lamp (at random) off of the shelf and purchases it, and he later discovers that the lamp he purchased is defective. What is the probability that the defect came with the
Find Total Sum of Squares, Explained Variation, SSE, MSE, R-Squared, and Test the overall usefulness of the model at 1% level of significance calculating the F-Statistic
In exercise 20 data on x=price and y = overall score for ten 42 inch plasma television tested by consumer reports provided the estimated regression equation y=12.0169+.0127x. for these data sse=540.
A human resource manager is interested in whether absences occur during the week with equal frequency. The manager took a random sample of 100 absences and created the following table:
Professor has each student toss a coin 12 times and calculate the proportion of his or her tosses that were tails. The students then report their results, and the professor plots a histogram of thes
Between what two values (in ounces) symmetrically distributed around the population mean will 80% of the apples fall?
What is the probability that this decision strategy will result in a type I error. Sketch the sampling distribution and put in the region of rejection?
A new company is in the process of evaluating its customer service. The company offers two types of sales: 1. Internet sales; 2. Store sales. The marketing research manager believes that the Interne
Consider a random walk,initially the person is at origin.At each time instance,the person walks one step to the left or one step to the right with equal probability. 1. Please find the first order s
She concludes that her research process that the average 6th grader in the district fall right on the national norm of 100. What is your reaction to such a claim?
In a manufacturing process a random sample of 36 bolts manufactured has a mean length of 3 inches with a standard deviation of .3 inches. What is the 99% confidence interval for the true mean length
The standard deviation is assumed to be 5 minutes. Calculate a 99% confidence interval.
Assume the probability that a person has the desease is 0.09 for all people, independently of each other, and compute the expected number of tests necessary for the entire group of 154 people.