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Using the applet, create a plot for the target correlation r = +0.5 in which one point is an outlier that decreases the correlation. Make the plot such that if the outlier were removed, the correlation for the remaining points would be greater than r = 0.7. Sketch an approximate facsimile of your resulting graph.
A corporation owns a factory that produces sulfuric acid. Because of changing conditions, the plant's output is quite variable. The company's president has observed that the output is normally distributed with a mean of 8,200 pieces per hour.
Compare and contrast the characteristics of parametric and non-parametric test methodologies. Give examples of when to use each.
The values of these variables are (0, 0) for high technology industry, (0, 1) for biotechnology companies, and (1, 0) for aerospace ?rms. Following is part of the computer output for this analysis. Interpret the out- put, and give a complete analy..
the closing prices of two common stocks were recorded for a period of 16 days. the means and variances were xbar140.33
How to identify the subjects who are closest to the cutoff for the upper 2.5% and 5% of the scores and the lower 2.5% and 5% of the scores when looking at the z-scores?
a statistics instructor collected data on the time it takes the students to complete a test. the test taking time is
A coin is flipped e times and heads (h) or tails (t) are recorded:
An observational rating scale is being developed to rate the classroom performance of first-year teachers, and experienced classroom teachers are asked to examine the items on the rating scale to see if they are relevant to effective performance.
The quality control inspector of a production plant will reject a batch of syringes if 2 or more defective syringes is found in a random sample of 8 syringes taken from the batch. Suppose the batch 1% defective syringes.
What percentage of the workers is paying between $1800 and $2400 per year toward the family health coverage premium? What is the probability that a worker pays more than $2500 towards the family health coverage premium?
If we ignored the censored observations and the computed mean survival time using the usual formula for the mean and only the observations from those who died, would our estimate of the true mean be too large or too small?
When I repeat the regression but do a regression through the origin (i.e. no intercept), the correlation coefficient between x and u becomes -0.24117, and I am not sure why. I have to use the Pearson correlation coefficient formula to explain this..
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