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1. When the purpose of sampling is to detect when a process becomes too variable the chart of choice will be a c-chart? True or false/
2. Forty samples of size 1,000 were drawn from a manufacturing process and the number of defectives in each sample was counted. The mean sample proportion was 0.05. The centerline for the p chart is?
Describe the effect of an outlier or extreme value on the confidence interval - Find the probability that the return for common stocks
Find out the value of correlation coefficient. Make a regression model to predict winning percentage utilizing all of the data.
One use of the Chi-square goodness of fit test is to determine if specified multinominal probabilities in the null hypothesis is correct.
What sample size would be needed to obtain an error of +/- 10 square millimeters with 99% confidence?
What is your decision regarding the null hypothesis and interpret.
A market survey was conducted to estimate the proportion of homemakers who would recognize the brand name of a cleanser based on the shape and color of the container. Of the 1,4000 homemakers sampled, 420 were able to identify the brand by name.
One of the major measures of the quality of service provided by any organization is the speed with which responds to customer complaints. A large family-held department store selling furniture and flooring, including carpet, had undergone a major ..
Using WSJ or IBD look up the following stocks: General Electric, General Motors, Microsoft and Intel and answer the following questions for each stock. You may have to refer to several issues of your newspaper for all of the information if the pap..
Comparison of paired and unpaired samples test - Prepare a brief conclusion statement summarizing your results. What can you tell this MHMR about client satisfaction? What could you suggest they do to improve?
Suppose that among all participants, the mean test score is 70.07 and the standard deviation is 10.27. Use z-scores to interpret a raw score of 80. What is the corresponding z-score? How would you interpret this result? Show your work.
Assume that the measurements came from a normal distribution. The variability of the manufacturing process is unknown means the same as the standard deviation is unknown.
How close is the calculated value to your experimental value?
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