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A random sample of 40 new cars was taken with a mean dealer sticker price of $24,310. Assuming that the population standard deviation is σ = $7,200, find the confidence interval for the mean price, μ, of all dealer sticker prices of new cars: for a confidence level of 90% in thousands of dollars:
We were only able to take a sample of 18 cars. The mean of the sample is the same as above ($24,310). Since we have the sample data, we can calculate the sample standard deviation and found it to be $7,350. We assume that the population is approximately normally distributed. Find the confidence interval: for a confidence level of 95%:
(22.08, 26.54)
(20.65, 27.97)
(21.38, 27.24)
Find the percent of a standard Normal model found in the given region. Round to the nearest hundredth of a percent.
The daily numbers of calls received by the Internal Revenue Service office in July are shown below:
Given 7 male individuals in a Physical Education course, the number of sit ups each individual can do in a one minute period was recorded:
Now compute the standard deviation for this distribution.
Use frequency distribution to create a probability distribution, determine the (b) mean,(c) variance and (d) standard deviation of probability distribution and (e) interpret results in context of real life situation.
Use normal approximation to determine probability that x = 2. Illustrate all work.
An SRS of 100 of a certain popular model car in 1993 found that 20 had a certain minor defect in the brakes. An SRS of 400 of this model car in 1994 found that 50 had the minor defect in the brakes. Let p1 and p2 be the proportion of all cars of t..
What is the 95% confidence interval for the difference between the mean prices of the two models?
This model is fit to the data using the method of least squares using statistical software, and the following parameter estimates and their standard errors are obtained.
For following scores determine values of each expression: X: 4, 2, 1, & 5. åX, åX 2 , (åX) 2 , å(X-1).
Determine the range and standard deviation of the times.
The following frequency distribution was obtained. The data values are in hours. Construct a histogram for the data .
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