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Business 2.0's first annual employment survey provided data showing the typical annual salary for 97 different jobs. The following data show the annual salaries for 30 different workers in computers, construction, and engineering (Business 2.0, March 2003).
Excel or Minitab users: The data set is available in file named JobSalary. All data sets can be found in your eBook or on your Student CD.
Use = .05 to test for a significant difference among the mean annual salaries for the three job fields.
100 M&M candies are randomly selected. The 100 weights have a standard deviation of 0.0518 g. Construct a 95% confidence interval estimate of the standard deviation of weights of all M&Ms.
A coin was flipped 60 times and came up heads 36 times. Determine the critical value you would use to test whether proportion of heads is greater than 0.50 at 10% level of significance?
Samples t test and one that would require a dependent samples t test. And explain what they mean and why they are independent or dependent samples.
The given data show the age distribution of top 14 doctors in emergency faculty of local hospital.
Identify the independent and dependent variables. Indicate the number of levels in the independent variable and describe each level.
The population mean height of a basketball player is 220 cm with a standard deviation of 20 cm. In a sample of 49 basketball players, what is the probability of getting a sample mean height of 215 cm or more?
Design and First Question on Response Rates for a Mail Survey of Skydivers" (Leisure Science, 1991) tested this theory by experimenting with different cover designs.
A standard deviation of 1.00 degrees C. Find the probability that a randomly selected thermostat reads greater than -0.74 and draw a sketch of the region.
Estimate the population mean
The variance is any different with the new ball. Test the null hypothesis that the new ball does not improve a bowler's average at the 5% level of significance.
Does the confidence interval contain the value of 35 mm, which is believed to be the standard deviation of sitting heights of women?
Find out the least-squares regression line and interpret its slope.
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