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Statistics for the Behavioral Sciences by Frederick J. Gravetter, Larry B. Wallnau ISBN 10: 1305504917 ISBN 13: 9781305504912

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

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DEMONSTRATION 5.2 155

sure that your answer is smaller than the mean, and check that the distance between X and

μ is slightly less than the standard deviation.

2. When comparing scores from distributions that have different standard deviations,

it is important to be sure that you use the correct value for σ in the z-score formula.

Use the σ value for the distribution from which the raw score in question

was taken.

3. Remember that a z-score specifies a relative position within the context of a specific

distribution. A z-score is a relative value, not an absolute value. For example, a z-score

of z = −2.0 does not necessarily suggest a very low raw score—it simply means that

the raw score is among the lowest within that specific group.

DEMONSTRATION 5.1

TRANSFORMING X VALUES INTO Z-SCORES

A distribution of scores has a mean of μ = 60 with σ = 12. Find the z-score for X = 75.

STEP 1

STEP 2

STEP 3

STEP 4

Determine the sign of the z-score. First, determine whether X is above or below the mean.

This will determine the sign of the z-score. For this demonstration, X is larger than (above) μ,

so the z-score will be positive.

Convert the distance between X and μ into standard deviation units. For X = 75 and

μ = 60, the distance between X and μ is 15 points. With σ = 12 points, this distance corresponds

to 15

12 = 1.25 standard deviations.

Combine the sign from step 1 with the numerical value from Step 2. The score is

above the mean (+) by a distance of 1.25 standard deviations. Thus, z = +1.25.

Confirm the answer using the z-score formula. For this example, X = 75, μ = 60,

and σ = 12.

z 5 X 2m

s

5

75 2 60

12

5 115

12 511.25

DEMONSTRATION 5.2

CONVERTING Z-SCORES TO X VALUES

For a population with μ = 60 and σ = 12, what is the X value corresponding to z = −0.50?

Notice that in this situation we know the z-score and must find X.

STEP 1

Locate X in relation to the mean. A z-score of −0.50 indicates a location below the mean

by half of a standard deviation.

STEP 2

Convert the distance from standard deviation units to points.

standard deviation is 6 points.

With σ = 12, half of a

STEP 3

Identify the X value. The value we want is located below the mean by 6 points. The mean

is μ = 60, so the score must be X = 54.

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