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Advocard [28]
3 years ago
5

Probability samples are advantageous to the researcher because: A. they are perfectly representative of the population from whic

h they are drawn. B. the method by which they are selected limits conscious and unconscious sampling bias. C. the method by which they are selected limits conscious and unconscious bias and the accuracy/representativeness of the sample can be estimated. D. they allow the researcher maximum exibility in the creation of samples. E. the accuracy/representativeness of the sample can be estimated.
Mathematics
1 answer:
BabaBlast [244]3 years ago
8 0

Answer:

C. the method by which they are selected limits conscious and unconscious bias and the accuracy/representativeness of the sample can be estimated.

Step-by-step explanation:

The probability sampling technique allows for each element in the sample to be representative of the population data from which the samples are drawn. This sort of sampling technique helps to randomize and eliminate errors which might creep into measurement. Since the researcher has the knowledge of the population data or distribution, he takes advantage of these in the allocation of samples using the probabilities of each Sample.

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Answer:

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Step-by-step explanation:

Given:

An average soccer player travels 7 miles during a game

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How many times did the average soccer play travel the length of the field?

Solution:

An average soccer player travels during the game =  7 miles

First convert 7 miles into meters,  1 mile = 1609.34 meter

                                                        7 mile = 1609.34 \times 7 = 11265.41 m

Length of field = 104 meters

To find number of times average soccer player travel the length of the field, we will divide an average soccer player travels during the game by Length of field

11265.41 m \div 104  = 108.32

Therefore, about 108 times average soccer player travel the length of the field

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