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At times we can generate a regression equation to explain outcomes. For example, an employee's salary can often be explained by their pay grade, appraisal rating, education level, etc. What variables might explain or predict an outcome in your department or life? If you generated a regression equation, how would you interpret it and the residuals from it?
Research question : At α = . 05, is cockpit noise level independent of flight phase?
Statistical Hypothesis testing - Frequency distribution
At the .05 significance level, is there a difference in the proportion of viewers watching the three channels?
Utilizing the chart parameters developed above to define the control charts for future candy bar production, Compute the appropriate plotting points from the data.
Using multiple linear regression, compute the regression equation for the following data in Excel.
A company is interested in estimating μ, mean number of days of sick leave taken by its employees. The firm's statistician randomly selects 100 personnel files and notes the number of sick days taken by each employee.
Researchers at the Brigham & Women's Hospital recruited 2,000 participants to study the relation between diet and cholesterol.
How large should the sample be if I want to maintain a 95 percent level of confidence and suffer a maximum error of $2.00 in my estimate of the highest price consumers are willing to pay?
Find out coefficient of correlation between variables. Interpret the value.
The probability that a bomber hits a target on a bombing mission is 0.700. Three bombers are sent to bomb a particular target.
One-way Analysis of Variance (ANOVA) test - How many treatments are there and What is the total sample size?
Determine the probability that tire wears out before 70,000 miles?
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