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Assume you are the manager of a mustard seed factory in Colombia. Your company has received complaints that there isn't enough mustard seed in your economy size packages, which should have 1.7 ounces. You ask your foreman and chief operating officer Juan Valdez to test the new mustard seed packaging machine you are installing. He runs a sample of 36 packages, with the results of package sizes in ounces:
1.5 1.7 1.8 1.9 1.7 1.751.75 1.66 1.81 1.65 1.77 1.751.8 2.2 1.7 1.65 1.88 1.61.7 1.7 1.6 1.65 1.65 1.651.8 1.91 1.7 1.59 1.76 1.651.3 2.0 1.91 1.65 1.8 1.8
A. Calculate a 95% confidence interval on the average weight of packaged mustard seed. Explain very carefully to the packaging workers what the 95% confidence interval numbers mean. Include your Excel output. Is there anything you would want to note for management?
Construct a 90 percent confidence interval for the proportion of all kernels that would not pop. Check the normality assumption.
Suppose nothing in this environment changes. a) Compute the probability the mean number of attacks over the next 10 years is between 500 and 600.
Use the Chi-square test of independence with a .01 level of significance to determine whether appeal is independent from type.
We wish to create this mean value interval for selling price with 95% confidence level. Find out the best point estimate (average) for selling price. Critical t-value(s) associated with 95% confidence level.
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Components shipped include 0.5% defectives. You plan to select 80 items; if 0 are defective, you will assume all are okay.
A linear regression between Y and X produced the following equation for the least squares line:
Utilizing a binominal experiment, that is each trail can be reduced to two outcomes, construct a binomial distribution.
Compute the range, variance, standard deviation, and coefficient of variation. Compute the Z scores. Are there any outliers?
At 95% level of confidence, can we conclude that the babies using the Gibbs product gained less weight?
Review the Christian year pie chart and write a summary in which you (a) describe the significance of the holy days on the chart.
Find out the p-value associated with test of hypothesis you conducted?
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