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The following frequency distribution reports electricity cost for sample of 50 two-bedroom apartments in Albuquerque, New Mexico during the month of May last year.
Electricity Cost Frequency$ 80 up to $100 3100 up to 120 8120 up to 140 12140 up to 160 16160 up to 180 7180 up to 200 4
Total 50
A. Estimate the mean cost.
B. Estimate the standard deviation
C. Use the Empirical Rule to estimate the proportion of costs within two standard deviations of the mean. What are these limits?
Describe the data appear the strength of the relationship among variables is sufficient to warrant using linear regression forecasting.
What assumption about the population distribution is needed in order to conduct the t test in (a)?
Which two types of probability sampling are best suited for business research and statistical data analysis, and why?
Using one proportion z test to find whether or not to support the claim - There is little evidence to reject H 0 , therefore they conclude the tvs are 20 pounds on average.
Using the original data, test at the 5% significance level that the population standard deviation of studying times is greater than 4 hours.
On randomly selected day, let X and Y, respectively, be proportions of time that the drive-in and walk-in facilities are in use. Determine the marginal density of X.
Why do we have so many several measures of central tendency? Are all really essential or do they essentially give same information?
How large should n be so that a 90% confidence interval for µ has a margin of error and What is the P-value for a test of the hypotheses
The events are defined as follows: Let A be the event that the player selected has a number from 1 to 8. Let B be the event that the player selected is a guard. Let C be the event that the player selected is a forward. Let D be the event that the pla..
Fitting of simple linear equation - Prepare an equation showing how daily sales are related to number of customers per day.
Find the area under the normal distribution curve to the right of z = -1.03.
Using the original data, estimate the population standard deviation with 90% probability.
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