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vlabodo [156]
1 year ago
9

sampling errors multiple choice cannot be measured statistically. can be reduced by decreasing the sample volume. can be caused

by the size of the sample. can occur when the findings based on the sample and the true values for a population overlap. cannot be measured directly.
Mathematics
1 answer:
EleoNora [17]1 year ago
4 0

Sampling errors  cannot be measured statistically.

<h3>What Is a Sampling Error? </h3>

A sampling error can be described a the statistical error  which do take place when an analyst does not select a sample  which represents the entire population of data.

It should be noted that due to this type of error,  the results that can be gotten from this sample do not represent the results that can be associated with the entire population.

In conclusion, Sampling errors  cannot be measured statistically.

Therefore, the first option is correct.

Learn more about Sampling errors at:

brainly.com/question/28008941

#SPJ1

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Answer:

5) 0 N

Step-by-step explanation:

According to Newton's second law of motion: "The acceleration of an object produced by a net force is directly proportional to the magnitude of the net force, in the same direction as the net force and inversely proportional to the object's mass" .

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b. <u>No, the requirements are not met because the sample has fewer than 10 failures, which violates the condition for approximating a normal distribution.</u>

Step-by-step explanation:

from the question,  the number of successes is equal to 30

and it is more than the number of failures

for us to conduct this test such as the z test the data we are using should be a random sample from the population that we are interested in. the population should be at least as big as the sample by 10 times. first of all We need to check if the mean of the sample is normally distributed.

if 26 are successes out of a sample of 30, then failures would be 4. therefore option b is correct.

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