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difference between a population and a sample. In which of these is it important to distinguish between the two in order to use the correct formula? ** mean**; median; mode; range; quartiles; variance; standard deviation. 2. The following numbers represent the weights in pounds of six 7year old children in Mrs. Jones' 2nd grade class. {25, 60, 51, 47, 49, 45} Find the

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Parameter The ** mean** of population
Statistic The

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company wants the packages to contain a ** mean** of 8.17 ounces so that virtually none of the packages contain less than 8 ounces. A sample of 50 packages is selected periodically, and the packaging process is stopped if there is evidence that the

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Chapter 3, Problem 4
Investment Category ** Arithmetic** Geometric Standard Deviation

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PART A:
i) Male:
Female:
The ** mean** value of life satisfaction for male is about 7.7459 while for female is 7.7101, which proves there is no significant different life satisfaction between male and female, thus gender does not affect life satisfaction a lot. But when it comes to sample variance, for male is 2.5684 while for female is 3.0081. From this pair of figures it is obvious that the life satisfaction for female is more flexible than male. Man’s life satisfactions are easy to be affected...

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The doctrine of the ** mean** states that for someone to be a good person they must occupy the “golden

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d. Nominal
2. What was the ** mean** posttest empowerment score for the control group?
The

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central tendency. Under what condition(s) should each one be used?
** Mean**- Works good when it comes to test scores
Median- should be used when describing something like average income.
Mode= is good is you want to see what is you best seeing product in a store situation.
2. Last year, 12 employees from a computer company retired. Their ages at retirement are listed below.First, create a stem plot for the data. Next, find the

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Reject H0
Question 5
0 out of 1 points
Questions 5 through 8 refer to the following:
In 1985, the ** mean** weight of players in the National Football League was 225 pounds. A random sample of 50 players taken during the 2012 season showed a

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in statistics.
Solution:
(a) Use the steps of hypothesis testing.
Size of sample, n = 8
Degree of freedom = n-1 = 8-1 = 7
Sum of sample = i=1∑n=8xi = (25+27+25+23+24+25+26+25) = 200
| Time (in Hours) | Sum | ** Mean**(xm) | (xi- xm)2 | Standard Deviation |
1 | 25 | 200 |

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