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Q1) Following sample data reflect electricity bills for ten households in San Diego in March.
$118.20
$67.88
$133.40
$88.42
$110.34
$79.90
$144.56
$127.89
$89.34
$129.10
Calculate the range, variance, and standard deviation for these sample data.
2) Interpret meaning of coefficients (i.e., the coefficients attached to \'income\' and \'household size\'- don't worry about constant).
3) What would be forecast for amount charged if the \'income\' is $43,000 and \'household size\' is 3.
Speed of cars travelling on I-85 in Gaston County is normally distributed with average speed (µ) of 66 MPH and standard deviation (σ) of 8 MPH.
What sample size would be needed to obtain an error of ±10 square millimeters with 99 percent confidence?
Interpret coefficient on log (salesm). If salesm were to be increased by 20%, what would be estimated change in mktgp? Would this effect be substantive?
A loaf of bread is normally distributed with a mean of 22 oz and a standard deviation of 0.5 oz. What is the probability that a loaf is more than 22.25 oz?
A sample of eight male professionals has an average yearly salary of $52,165. Find the average yearly salary for the 11 people.
ABC Corporation has been using statistical process control for several months.
X is a continuous random variable uniformly distributed on [20, 45] that is, the end points c = 20 and d = 45.
Evaluate the performance of this decision.
A Correlation matrix (correlation, coefficients and probability level under the hypothesis rho = 0) for a company's sales force (age, years of service, and current sales) is given below. Comment.
Determine the probability that no female are hired. Determine the mean and standard deviation of X.
Compute cumulative probabilities for these numbers in second column. Then create a histogram illustrating data distribution. Using generated Normal probability table, determine probability of Pr(X
Relatively speaking, who performed better on the test, you, with an 86, or your friend? Why?
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