stat quiz #6
Approximately 96 percent of scores fall within _______ standard deviation(s) of the mean.
2
On the first statistics exam, the class average was 72 with a standard deviation of 6. Reid scored 84. What is his z score?
2.0
The distribution of means based on a sample size of 30, pulled from a population distribution with a mean of 100 and a standard deviation of 15, would have a standard error of:
2.74.
A z score of -2.0 is equivalent to the _______ percentile.
2nd
If a distribution of scores has a mean of 40 and a standard deviation of 10, then a score of 70 has a zscore that is _____ standard deviation(s) from the mean.
3
Nearly all scores fall within _______ standard deviations of the mean.
3
If samples have at least _____ scores, the distribution of means will most likely approximate a normal curve.
30
Sample means based on at least _____ scores tend to approximate a normal distribution, even when the underlying population is skewed.
30
In the z distribution, _______ percent of scores fall between the mean and a z score of 1.0, or the mean and a z score of -1.0.
34
Findings that are in the most extreme _____ percent are considered significant and worthy of publishing.
5
In the z distribution, _______ percent of scores fall below the mean.
50
The mean of the distribution of a set of z scores is:
always 0.
The z distribution _____ has a standard deviation of _____.
always; 1
A _____ is composed of means based on samples rather than raw scores.
distribution of means
A z score is a measure of:
how far away from the mean a score is in terms of standard deviations.
As sample size _____, the spread of distribution of means _____.
increases; decreases
As sample size _____, the mean of a distribution of means _____.
increases; stays the same
Any raw score can be converted into a z score as long as you know the _____ and _____ of the distribution.
mean; standard deviation
With large sample sizes, the shape of the distribution of the mean will be _______.
normal
As you increase the size of a sample, the distribution of the sample will approach the _______ as long as the underlying population is normally distributed.
normal curve
The distribution of scores in a a sample, drawn from a normal population, will approach normality as:
number of scores increases.
When creating a distribution of means, it is important that whatever scores are sampled to compute the means are:
placed back into the population for additional sampling.
The first step in converting a z score into a raw score is multiplying the z score by the:
population standard deviation.
When creating a distribution of means, it is important to retain all observations in the distribution for future sampling; this is known as sampling with _______.
replacement
Two students recently took trigonometry class tests. The students are at different schools but wanted to compare their performance. The first student scored 80 on the test. Her class average was 85 with a standard deviation of 5. The second student scored 65. Her class average was 50 with a standard deviation of 10. Which student did better?
second student because she performed better relative to her class
The process of standardization involves the conversion of raw scores to _____ scores.
standard
When converting a z score into a raw score, we begin by multiplying the z score by the _______.
standard deviation
The second step in calculating a z score is expressing the obtained values in:
standard deviation units.
The number of _______ a particular score is from the mean is the z score.
standard deviations
The term _____ is used for the distribution of means in place of the term standard deviation.
standard error
The z distribution is a normal distribution of _____ scores.
standardized
Because of _____, skewed distributions approximate normal curves when means are based on larger samples.
the central limit theorem
According to _____, as sample size increases, the distribution of _____ assumes a normal curve.
the central limit theorem; sample means
The first step in calculating a z score is calculating:
the difference between a particular score and the population mean.
A person with a z score of 0 would have a raw score equal to:
the mean of the distribution of raw scores.
A normal distribution of standardized scores is the _______ distribution.
z
The z distribution is equivalent to a distribution of _____ scores.
z
The formula for z based on the mean of a sample is:
z = (M - µM)/ σM.
The formula for calculating a z score is:
z = (X - µ)/ σ.
A _____ is a distribution of z scores.
z distribution
A _____ represents the number of standard deviations a particular score is from the mean average.
z score
The number of standard deviations a particular score is from the mean is the _______.
z score
Two scores that are based on two different scales can be directly compared once they are converted into _______.
z scores
To compare two scores that are measured on different scales, one needs to transform the scores into:
z scores.
A _______ is a z computed on a sample mean rather than a raw score.
z statistic
When calculating a z score for a distribution of means, the z score is referred to as a:
z statistic.
The symbol for the population mean is:
μ
The symbol for the population standard deviation is:
σ.
The symbol for the standard error is:
σM
The formula for the standard error is:
σM=σ/√n
Given the properties of the standard normal curve, we know that _____ percent of all scores fall below the mean and _____ percent fall above the mean.
50; 50
A z score of 0 is equivalent to the _______ percentile.
50th
In a normal standard curve, approximately _____ percent of scores fall within 1 standard deviation from the mean.
68
The mean for the population is 66 with a standard deviation of 8.78. Given a z score of 2.54, what is the raw score?
88.30
The mean for the population is 82 with a standard deviation of 6. Given a z score of 1.45, what is the raw score?
90.70
Alex scored 45 on his final exam. The class's average score was 50, with a standard deviation of 10. What is Alex's z score?
-0.5
Which score is more extreme: 0.78 or -0.93?
-0.93
Kelly scored 40 on a standardized test of reading ability where the mean score is 50 and the standard deviation is 10. Based on this information, what is Kelly's z score?
-1.0
Gibson (1986) asked a sample of college students to complete a self-esteem scale on which the midpoint of the scale was the score 108. He found that the average self-esteem score for this sample was 135.2, well above the actual midpoint of the scale. Given that the standard deviation of self-esteem scores was 28.15, what would be the z score for a person whose self-esteem score was 104.28?
-1.10
Which of these z scores from a single distribution of scores corresponds to the raw score farthest from the mean of the distribution?
-1.4
A person who scored exactly at the mean of the distribution of raw scores would have a z score of _______.
0
The z distribution always has a mean of _____.
0
According to the 2015 annual report of the American Psychological Association's on salaries in psychology. The average salary for those working in a teaching position was $71,471, with a standard deviation of $24,703. What is the z score of a professor making $85,500?
0.57
Tej scored 60 on his final exam. His class's average score was 55, with a standard deviation of 5. How many standard deviations is Tej's score from the mean?
1 standard deviation above the mean
Approximately 68 percent of scores fall within _______ standard deviation(s) of the mean.
1, one
In a normal standard curve, which percentile corresponds to a z score of -1.0?
16
If a distribution of scores has a mean of 50 and a standard deviation of 10, then a score of 40 has a zscore that is _____ standard deviation(s) _____ the mean.
1; below
The formula for calculating the raw score from a zscore is:
X = z(σ) + µ.
A negative z score will convert into a raw score that is above the mean of its distribution.
False
A positive z score will convert into a raw score that is below the mean of its distribution.
False
A z score allows assessment of the percentile of a raw score, but an equivalent assessment of a sample mean cannot be made.
False
A z score allows one to compare scores to each other, but not when they are based on different scales.
False
A z score is the distance a score is from the mean of its distribution, expressed in variance.
False
A z statistic is used to refer to a distribution of scores.
False
Any raw score can be converted into a z score as long as you know the mean and median of the distribution.
False
If a score has a z score of 1, then the raw score equals to the mean.
False
In a distribution with a mean of 150 and a standard deviation of 20, a z score of -1.0 would convert into a raw score of 120.
False
Less than 5 percent of the distribution of scores falls beyond a z score of +/-1.0.
False
Standard error is the variance of a distribution of means.
False
The mean of the z distribution is 1.0.
False
The standard deviation of a distribution of means will be larger than the standard deviation of a distribution of scores.
False
The standard deviation of the z distribution is 0.
False
When attempting to create a distribution of means, we sample with replacement; that is, we do not put data back in the sample after we have computed the mean of those data.
False
When comparing two z scores to assess performance on an exam, one would conclude that a student with a z of -2.3 outperformed someone with a z of 1.7 because the first score is more extreme.
False
Two students from two different high schools recently took a math test. The first student correctly answered 37 questions and the second student correctly answered 45 questions. What can be concluded from the two students' test scores?
The two students cannot be compared because no standardization procedure was used to permit comparisons.
A distribution of scores has a mean of 20.4 with a standard deviation of 0.89. Compare a score of 21.26 with a z score of 1.2. Which statement is correct?
The z score of 1.2 is greater, resulting in a raw score of 21.47.
A distribution of means comprises many, many means of samples, all of the same size.
True
A negative z score will convert into a raw score that is below the mean of its distribution.
True
A z score allows one to compare scores to each other, even when they are based on different scales.
True
A z score computed for a sample mean is called a zstatistic.
True
A z statistic is used to refer to a distribution of means.
True
Any raw score can be converted into a z score as long as you know the mean and standard deviation of the distribution.
True
At a z score of 0, your score is at the 50th percentile.
True
Because a z score is the number of standard deviations a score is from its mean, the first step in converting a z score back to a raw score is multiplying z and the standard deviation.
True
Even when the distribution of scores in the population is not normal, the sampling distribution of the mean will approach normality as sample size increases.
True
If you have a z score of 0, then you have a raw score equal to the mean.
True
Standard error is the standard deviation of a distribution of means.
True
The distribution of means is less variable than the distribution of scores.
True
The standard deviation of a distribution of sample means is smaller than the standard deviation of the population when the sample size is 2.
True
The standard deviation of the z distribution is 1.0.
True
