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Consider the following data: number of gallons processed/percent of Lead removed: (25/85, 26/87, 73/86, 75/88, 123/90, 126/87, 175/92, 177/94.
It is the gallons of water processed at a plant, and the amount of lead removed from the water. A. Make a scatterplot to determine what kind of relationship there seems to be between the two variables. Use the percent of lead removed as the response variable.
B. Fit a linear regeression model to the data, and fit a quadratic model to the data. What measure can be used to determine which of these two models (linear or quadratic) will give the better prediction? Be sure to report the measure for both models.
C. make a residual plot. Does it indicate a linear model is appropriate? D. Test the data for outliers using the model you determined was best from part (b). If there are any outlying points list them.
By using significance level a = .05, and suppose a normal distribution what does evidence conclude?
Calculate chi-square for the cross-tab. Show your work. Is there a statistically significant relationship between these variables?
We are 95% confident that the proportion of non sell-able items for Whole Fruits is anywhere between 6.4% and 15.6% HIGHER than the proportion of non sell-able items for Green Grocer.
Internal study by Technology Services department at Lahey Electronics disclosed company employees get the average of 2 emails per hour. Suppose arrival of these emails is approximated by Poisson distribution.
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..
For the following scores, find the: A. Mean. B Median. C. Sum of squared deviation. D. Variance. E. Standard deviation.
A human factors psychologist studied three computer keyboard designs.
A random sample results in 1 = 20 with n1 = 100. The population standard deviation is σ1 = 6. Another sample was selected independently resulting in 2 = 22 with n2 = 100. The population standard deviation is σ2 = 7. Test that the population means ..
If 1 man aged 18-24 is arbitrarily chosen, determine the probability that his serum cholesterol level is between 165 and 200.
Make use of normal probability distribution features of EXCEL to help determine the probability.
A study group of long distance phone calls made from the corporate offices of Pepsi Bottling Group, Inc., in Somers, New York, revealed the length of the calls, in minutes, follows normal probability distribution.
A sample of 160 workers in the downtown area classified each worker by race. A bar graph of the results is given below, but the bar for black workers in the graph below has been omitted.
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