Question

Question :
What’s the probability that an individual, selected at random, will score below the mean on any normally distributed characteristic?

Student Answer:

p = 0

p = .1

p = .5

p = 1.0 Instructor Explanation:
Found in section 3.1, A Primer in Probability.

Points Received:
1 of 1 Comments:

Question 2.
Question :
Turning raw scores into z scores does not ____________.

Student Answer:

allow for scores from different tests to be compared directly

create a common distribution where the mean is 0

create a common distribution where the standard deviation is 1.0

make the data involved in the transformation normal Instructor Explanation:
Found in section 3.2, The Standard Normal Distribution.

Points Received:
0 of 1 Comments:

Question 3.
Question :
In a distribution for which the mean is 25 and the standard deviation is 5, what percentage of all scores occur at 30 or below?

Student Answer:

15.87%

20%

34.13%

84.13% Instructor Explanation:
Found in section 3.2, The Standard Normal Distribution.

Points Received:
0 of 1 Comments:

Question 4.
Question :
A distribution where the mean and standard deviation have pre-determined values calls for ________.

Student Answer:

raw scores

z scores

modified standard scores

percentile rankings Instructor Explanation:
Found in section 3.5, Working Backward from z.

Points Received:
0 of 1 Comments:

Question 5.
Question :
How does one-sample t compensate for the risk in estimating parameters?

Student Answer:

With more stringent requirements for data scale

With a lower level of allowed decision errors

With larger sample sizes

With a scale of critical values Instructor Explanation:
Found in section 5.2, The One-Sample t-Test.

Points Received:
0 of 1 Comments:

Question 6.
Question :
The distribution of sample means refers to _______________.

Student Answer:

an array of sample