Which relationship between sample size and sampling error is correct quizlet?

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Which relationship between sample size and sample error is correct?
What is the relationship between sampling error and sample size quizlet?
What is the relationship between sample size and the standard error of the mean quizlet?
What is the relationship between effect size and sample size quizlet?

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Identify the type of data (qualitative/quantitative) and the level of measurement for the data described below. Explain your choice.

In order to promote the development of electric cars, the gov't has proposed rating passenger vehicles around letter scale of A-D based on fuel efficiency and emissions. The ratings for five vehicles are shown:

VEHICLE RATING
1 A+
2 A-
3 B
4 C+
5 D

Are the data qualitative or quantitative?
A.
Qualitative,
because descriptive terms are used to measure or classify the data

B.
Quantitative,
because numerical values, found by either measuring or counting, are used to describe the data
C.
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D.
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Which relationship between sample size and sample error is correct?

In general, larger sample sizes decrease the sampling error, however this decrease is not directly proportional. As a rough rule of thumb, you need to increase the sample size fourfold to halve the sampling error.

What is the relationship between sampling error and sample size quizlet?

What is the relationship between sampling error and sample size? The smaller the sample size, the bigger the sample error percentage; above +/- 5 sampling error would be considered invalid and overlooked.

What is the relationship between sample size and the standard error of the mean quizlet?

The standard error of the mean is directly related to the sample size. (i.e. the standard error of the mean increases when we increase the sample size, and vice versa).

What is the relationship between effect size and sample size quizlet?

Effect size is a measure of the difference between observed statistics, without consideration of sample size. Larger effects are easy to detect with a given sample size and make rejecting the null hypothesis easier than with smaller effects.