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1. A random sample of 80 observations from a normally distributed population produced a mean x(bar over the x)= 22.6 . Find a 95% confidence interval for the population mean m if the population standard deviation o(looks like a small o with a tip this sign is sigma , i think ) = 2.56
What is the aim of multiple linear regression? Discriminate analysis? Canonical correlation? Multivariate analysis of variance?
Your friend tells you that the proportion of active Major League Baseball players who have a batting average greater than .300 is greater than 0.56, a claim you would like to test. The hypotheses for this test are Null Hypothesis: p ≤ 0.56, Altern..
Infomercials often peddle products under the guise of "studies show," While some of the products are surprisingly good, many aren't.
Determine and record how much of the math grade can be explained by the PE grade? How much of the Writing grade can be explained by the Reading grade?
A street performer approaches you to make a bet. He shows you three cards: one that is blue on both sides, one that is orange on both sides, and one that is blue on one side and orange on the other.
In a simple regression analysis, you notice that the R2 value is low (less than 0.4); however, the standard error is low. What does this tell you about the analysis?
Probability using normal distribution.Sampling distributions. Given a normal distribution with μ = 50 and standard deviation σ = 9, if a sample of n = 100 is selected.
Four different types of fertilizers are used on raspberry plants. The number of raspberries on each randomly selected plaint is given below.
The Pearson Product-Moment Correlation Coefficient (r) is a measure of linear relationship between two variables.
A sample of 20 pages was taken without replacement from the 1,591-page phone directory Ameritech Pages Plus Yellow Pages. On each page
Use exponential smoothing to forcast Aug. income. Assume that the initial forecast for Feb. is $65,000. The smoothing constant selected is x=0.1
Give an example representing a discrete probability distribution and a continuous probability distribution. Explain why your choice is discrete and continuous.
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