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Based on a random sampleof 25 units of a product, the sample mean is 102 pounds, with a standard deviation of 10 pounds. We want to know if there is enough evidence to establish that the average weight is greater than 100 lbs. Test this hypothesis with an alpha of .01.
Hypothesis statements:
Critical Value-
Calculated Value-
Decision-
Either about $800,000 or about $2.2 million depending on which "average" it used. Which type of "average" does the $800,000 represents?
The city of denver wishes to see if there is a linear relationship between temperature and the amount of electricity used (in kilowatts) Based on the data below, is there a significant linear relationship between temperature and the amount of elec..
a certain state has license plates showing 3 numbers and 3 letters. how many different license plates are possiblea if
A local tire dealer wants to predict the number of tires sold each month. He believes that the number of tires sold is a linear function of the amount of money invested in advertising.
a set of 50 data values has a mean of 15 and a variance of 25.nbsp find the standard score of a data value
Years to Complete a Graduate Program: The average number of years a person takes to complete a graduate degree program is 3. The standard deviation is 4 months. Assume the variable is normally distributed. If an individual enrolls in the program, ..
Using the raw measurement data presented below, calculate the t value for independent groups to determine whether or not there exists a statistically significant difference between the salaries of female and male human resource managers.
The bombers success rates for bomber A, B and C are: 30%, 45% and 60% respectively. Find the probability that:Bomber A will succeed, but bomber B and C will fail.
1. Suppose you are given a particular set of data and found that r = 2.5. How would you interpret this result?
a machine that cuts corks for wine bottles operates in such a way that the distribution of the diameter of the corks
Compute the 95% confidence interval for the percent of homeowners who are dissatisfied with their homeowner's insurance policy.
Why do we use graphical displays of the data from our research, such as Pareto Charts, Bar Charts, Pie Charts, Flow Charts, or Process Control Charts?
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