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The mean amount purchased by a typical customer at Churchill's Grocery Store is $23.50 with a standard deviation of $5.00. Assume the distribution of amounts purchased follows the normal distribution. For a sample of 50 customers, answer the following questions.
a. What is the likelihood the sample mean is at least $25.00?
b. What is the likelihood the sample mean is greater than $22.50 but less than $25.00?
c. Within what limits will 90 percent of the sample means occur?
The amount ($1.00, $5.00, $10.00, $25.00, or $50.00) promised to each person was determined by randomization. For each person who was sent one of the surveys, The value of the X2 test statistic for testing the hypothesis
When using dummy variables in a regression equation to model a qualitative or categorical variable, the number of dummy variables should equal to
A local health center noted that in a sample of 400 patients 80 were referred to them by the local hospital. a) Provide a 95% confidence level for all the patients who are referred to the health center by the hospital.
Assume you choose 20 houses at random. On average, how many houses of twenty would you expect to have DVD? Determine standard deviation of number of houses with DVD?
Compute a 95% confidence interval for the population proportion of positive drug tests. Explain why is the normality assumption not a problem despite the very small value of p.
You are estimating the install hours for an electronics upgrade based on the number of components affected. The upgrade for which you are estimating affects 25 components. Given the following equation, select the correct response from each pair.
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A sample of 25 students enrolled in the university indicates that X (bar) = $315.4 and s = $43.20.
At 5% level of significance, is true mean smaller than specification? Clearly mention your hypotheses and decision rule.
The following data show the cost of electricity during August 2010 for a random sample of 50 one-bedroom apartments in a large city:
The final grades for a random sample of MKT 380 students are as follows: What is the standard deviation for these data?
A plus four 95% confidence interval for the difference between the two population proportions of wrist injuries is: A. 0.2909 ± 0.1674. B. 0.2909 ± 0.1069. C. 0.2909 ± 0.0907. D. 0.2909 ± 0.1275
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