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An elementary school principal would like to know how many hours the students spend watching TV each day. A sample of n = 25 children is selected, and a survey is sent to each child's parents. The results indicate an average of M = 3.1 hours per day with a standard deviation of s = 3.0.
a. Make a point estimate of the mean number of hours of TV per day for the population of elementary school children.
b. Make an interval estimate of the mean so that you are 90% confident that the true mean is in your interval.
Assuming that these results are sample data randomly selected from the population of all past and future Olympic games
After polling every 8 th graduate, a major university estimated annual salary of its alumni to be $103,000. What sampling technique was used?
We code middle-aged Americans as 1 and senior citizens as 0, the logistic regression model for senior citizens
Given that the mean of all 102 atomic numbers is 51.794, and the population standard deviation is 29.804, what is the probability that the mean of the 40 atomic numbers selected by the student will be at least 57.3?
Suppose that the results of the sample lead to rejection of the null hypothesis. Classify that conclusion as a:
The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals:
The significance level of a statistical test is equal to the probability that the null hypothesis is true.
What is the probability that there will be more than three trucks either being loaded or waiting?
At the .01 significance level can we conclude the mean age is more than 8.4 years for the cars of university students? State the null hypothesis and the alternate hypothesis.
I want to establish if a new product is worth marketing. At least 85 percent of the public must express interest in the product and for those that do the average cost they are willing to pay must be at least $47.50.
The following frequency distribution was obtained. The data values are in hours. Construct a histogram for the data .
What is the probability that a simple random sample of 40 male graduates will provide a sample mean within $10,000 of the population mean, $168,000 (to 4 decimals)?
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