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Find a bivariate data set relating to your work with a sample size of 10 or more.
a) Determine which is the dependent variable Y and which is the independent variable X. Explain your reasoning.
b) Draw a scatterplot and indicate the relationship if any. Explain.
c) Compute the least-squares regression equation. Show major line items of your work.
The following data refers to gross earned income, in thousands of dollars per year, and level of taxation on that income.
There were 25 subjects included in each of the combinations of gender and smoking status. One of the variables measured was the heart rate after six minutes of exercise. A two-way ANOVA is performed with the resulting ANOVA table given below
The following data shows the packages gathered for delivery for ten days and the proportion of packages received not delivered to the customers at expected time.
The diameter of stabilizing O-Rings washers manaufactured at a large factory is expected to be normally distributed with a mean of 1.30 inches and a standard deviation of 0.04 inches.
Find the average age at which people will experience their first cardiac incident, given that 17% of all initial cardiac incident victims are younger than 50. Please, interpret the result.
Consider a random sample of size n from an exponential distribution, Xi ~ EXP(1,eta). a) Show that Q = X1:n - eta is a pivotal quantity and find its distribution.
Search the Internet to find three applications of statistical concepts that you find interesting, that you encounter on a daily basis, or that you find in your profession.
A local health center noted that in a sample of 400 patients 80 were referred to them by the local hospital. a) Provide a 95% confidence level for all the patients who are referred to the health center by the hospital.
a. State the appropriate hypotheses for your significance test. b. Use the sample results to compute the test statistic and the p-value.
Reynolds Electronics accepts a lot from a particular supplier if the defective components in the lot do not exceed 1%. Suppose a random sample of five items from a recent shipment is tested.
The average income of 11 families who reside in a rural area of the Midwest is $60,213, with a standard deviation of $2009. At α =0.05, can it be concluded that the families who live in the cities have a higher income than those who live in the ru..
Impact on sampling of increasing sample size is: The potential for extreme sampling error is reduced.
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