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In the early years of the twenty-first century, annual salaries for federal employees in the Upper Midwest averaged approximately $42,000, with a population standard deviation (σ) of $4,900. If we drew a random sample of 25 federal employees from this population:
What would the standard error of the mean be?
What is the probability that the sample mean would be between $41,000 and $43,000?
What is the probability that the sample mean would be between $41,000 and $43,000 if we increased the sample size to 100?
What is the margin of error for a 95% confidence interval for the difference of the two means (low capacity - high capacity)? (Answer to the nearest hundredth.)
Test the mean cholesterol content in the egg is greater than 2.5 percent
Conduct a statistical test to determine if the sample is representative of the population.
Test the teachers hypothesis that there is a significant difference between the pre and post tests.
Find the area under the normal distribution curve to the right of z = -1.03.
Construct a 95% confidence interval for the population mean.
Test hypothesis that average price of gasoline in western states is higher than national average for Continental USA and the District of Columbia, i.e., higher than $3.74.
The budgeting process for a Midwestern college resulted in expense forecasts for the coming year (in $ millions) of $9, $10, $11, $12, and $13. Since the actual expenses are unknown, the following respective probabilities are assigned: .3, .2, .25..
SAT Math scores have a bell-shaped distribution with a mean of 515 and a standard deviation of 116. a) what percentage of SAT scores are between 399 and 631?
How is data screening related to the assumptions of the statistic you will choose to analyze your data?
Suppose the least squares regression equation is Y' = 1,202 + 1,133X. When X = 3, what does Y' equal?
Events A and B are mutually exclusive events defined on common sample space. If P (A) 0.5 and P (A or B) = 0.70, determine P (B).
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