if we take all possible samples of the some (large) size from a population and calculate the meann for each of these samples, then about …. of the sample means will be within three standard deviation of the population mean.
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8%
95.44%
83%
99.74%
9%
68.26%
The sampling error is defined as?
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3%
difference between population and parameter
43%
difference between sample and parameter
51%
difference between population and sample
3%
difference between parameter and sample
Derived Channel
Reconsider the population of five scores 25,80,15,78,6. Suppose one sample of three scores is selected from this population, and this sample includes the scores 25, 80, and 15. Find the sampling error.
Suppose we take 90 instead of 80 the non sampling error
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12%
2.34
15%
- 2.34
56%
3.33
16%
- 3 .33
The probability distribution of the sample proportion (𝑷̂), is called its ........ distribution.
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87%
sampling
13%
Statistic
Population Distribution: N =
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94%
total number of elements in the population.
6%
total number of elements in the sample.
in Population Distribution: number of elements in the population that possess a specific characteristic
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33%
N
12%
n
53%
X
3%
x
number of elements in the sample that possess a specific characteristic.
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4%
N
20%
n
74%
x
1%
X