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Answer: Sample B as it has the smaller sample (choice #4)</h3>
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Explanation:
Recall that the margin of error (MOE) is defined as
MOE = z*s/sqrt(n)
The sample size n is located in the denominator, meaning that as n gets bigger, the MOE gets smaller. The same happens in reverse: as n gets smaller, the MOE gets bigger.
Put another way, a small sample size means we have more error because small samples mean they are less representative of the population at large. The bigger a sample is, the better estimate we will have of the parameter.
We are told that "sample A had a larger sample size" indicating that sample A has a more narrow confidence interval.
Therefore, sample B would have a wider confidence interval.
This is true regardless of what the confidence level is set at.
Answer:
Sanchez-97
Washington-117
Step-by-step explanation:
4.
Minimum: 20
First Quartile: 44
Median: 51
Third Quartile: 57
Maximum: 86
Ascending order : 20 41 44 44 49 53 55 57 80 86
Answer:10 m
Step-by-step explanation:
Given
Scaling ratio 1:1000
i.e. one unit in map is equal to 1000 unit in actual distance
therefore if the distance between two points is 1 cm in map then
it is 1000 cm in reality
Answer: 6,300 m^3
Step-by-step explanation:
Put numbers into calculator