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Provide two data sets
a. construct a scatterplot
b. find the value of the linear correlation coefficient r then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables.
c. Identify the feature of the data that would be missed if part b was completed without constructing the scatterplot.
x 10 8 13 9 11 14 6 4 12 7 5
y 7.46 6.77 12.74 7.11 7.81 8.84 6.08 5.39 8.15 6.42 5.73
The following data (in pounds), which were selected randomly from a normally distrubuted population of values, represent mearsurements of a machine part that is supposed to weigh, on average, 8.3 pounds.
What is the expected number of patients arriving each Saturday and what is the most probable number of patients arriving each Saturday?
Use Chebyshev's theorem to find what percent of the values will fall between 120 and 150 for a data set with mean of 135 and standard deviation of 7.5
Suppose 91% of all Australian households having a fax machine have a personal computer. A Australian household is randomly selected. What is the probability that the household has a fax machine and a personal computer?
Implement your model on a spreadsheet and find the optimal solution using Solver.
a researcher believes that women today weigh less than in previous years. to investigate this belief she randomly
444 voters to predict whether the budget will pass. Suppose the budget has 53% of the voters. What is the probability that the newspaper's sample will lead it to predict defeat?
Given are five observations collected in a regretion study on two variables: What is the value of the standard error of the estimate?
A humane society claimes that less than 36% of U.S. households own a dog. In a random sample of 396 U.S. households, 151 say they own a dog. At x=0.04, is there enough evidence to support the society's claim?
according to a recent survey high school girls average 100 text messages daily the boston globe april 21 2010. assume
Thirty-two samples of 8 items each were collected from a process. The average sample mean is 12 and the average range is 0.10.
How large a sample is needed to estimate the true proportion of covered children with 90% confidence with a confidence interval of .05.
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