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Question: A survey of your customers shows, to your surprise, that 42 out of 200 randomly selected customers were not satisfied with after-sale support and service.
a. Find the summary statistics: the sample size, n; the sample percentage, p; and the standard error, Sp.
b. Find the two-sided 95% confidence interval for the percent dissatisfied among all of your customers (ie, not just those surveyed).
c. Your population consists of 28,209 customers. Convert the percentages representing the endpoints of the confidence interval in part b to numbers of people in the population. State and interpret your result as a confidence interval for the population number of dissatisfied customers.
What is the relationship between confidence intervals and hypothesis testing? How are they the same? How are they different?
Which cities tend to receive higher rankings-those north or south of the equator?- Are the livability rankings related to a city's economic status (assessed by rank)?
The train. To get to work, a commuter must cross train tracks. The time the train arrives varies slightly from day to day, but the commuter estimates he'll get.
the results below are from data measuring the per capita number of cigarettes smoked sold by 43 states and the district
You want to estimate the average age of your store's customers.- You ask an SRS of customers their opinions on each of two new floor plans for your store.
In a variation on Example 9.10, we use the observation vector Y = Y(n) = [Y1 ··· Yn] to estimate X = X1. The 21-dimensional vector X has correlation matrix RX with i, jth element
You took the standard deviation of 4.5 minutes from a commuting friend and believe that that is the standard deviation for the area. Prepare a 95% confidence interval for the true average commuting time.
The scores of students taking the Scholastic Aptitude Test (SAT) are normally distributed with a mean u = 1035 and a standard deviation o = 131.
If a different sample of 100 marathon runners was taken from the same population, which of the following would be the same as it was for the first sample, and which would be different?
what percent of the area under the normal curve is between z 1.22 and z 1.96?a. 0.0862b. 0.8638c. 0.025d.
What does this data tell us by itself before we do anything with it such as doing hypothesis testing or comparing it to other data? How can this be used by the M&M company?
Using an appropriate statistical test determine if there is a significant association between gender and satisfaction with the new initiative.
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