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Statistics Skill Assessment
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Quiz # 12
Statistics Quiz # 12
Instructions
Quiz:
Statistics Quiz # 12
Subject:
Statistical Probability
Total Questions:
636 MCQs
Time:
636 Minutes
Note
Do not refresh the page while taking the test.
Results along with correct answers will be shown at the end of the test.
Start Quiz
Statistics Quiz # 12
End Quiz
Question
1
of 636
00:00
If the probability of getting a z-score between the mean of +1 standard deviation is 0.3413, what is the probability of getting a z-score of +1 standard deviation or less?
0.3413
0.1587
0.6587
0.8413
If the shape of a frequency distribution is lopsided, with a long tail projecting longer to the left than to the right, how would the distribution be skewed?
Normally
Negatively
Positively
Average
A z score is a standard score with a:
M = 2 and SD = -1
M = 0 and SD = 0
M = 0 and SD = 1
M = 1 and SD = 0
When a z-score is NOT in the region of rejection, we should ______.
Reject the idea that random chance produced a sample the represents the population poorly
Conclude with the idea that the sample scores and the raw score population are similar enough to be called identical
Not reject the idea that the sample represents the raw score population
Reject the idea that the sample represents the raw score population
When a z-score is NOT in the region of rejection, we should ______.
Reject the idea that random chance produced a sample the represents the population poorly
Conclude with the idea that the sample scores and the raw score population are similar enough to be called identical
Not reject the idea that the sample represents the raw score population
Reject the idea that the sample represents the raw score population
Faculty in the psychology department at State University consumes an average of 5 cups of coffee per day with a standard deviation of 1.5. The distribution is normal. What is the percentile rank for an individual who consumed 8 cups of coffee per day?
97.72
2.28
47.72
None of these
If the shape of a frequency distribution is lopsided, with a long tail projecting longer to the right than to the left, how would the distribution be skewed?
Normally
Negatively
Positively
Average
What percentage of scores falls within three standard deviation of the mean?
99.5%
50%
95%
65%
Faculty in the psychology department at State University consume an average of 5 cups of coffee per day with a standard deviation of 1.5. The distribution is normal. What proportion of faculty consumes an amount between 4 and 6 cups?
0.5468
0.4972
0.50
None of these
A Type I error occurs when we say that something ______.
Works when it really does
Doesn’t work when it really does
Works when it really doesn’t
Doesn’t work when it really doesn’t
Rejecting H0 when we should have failed to reject it is a ______ error.
Type I
Type II
Null
One-tailed
When the probability of a Type I error is less than .05, we say that we have observed ______.
A Type II error
Statistical significance
The alternative hypothesis
All of these
Which of the following accurately defines a Type I error?
Rejecting a null hypothesis when it is true
Retaining a null hypothesis when it is true
Rejecting a null hypothesis when it is false
Retaining a null hypothesis when it is false
The power of a statistical test is the probability of ______.
Failing to reject a false
Rejecting a false
Failing to reject a true
Rejecting a true
Failing to reject H0 when we should have rejected it is a ______ error.
Type I
Type II
Null
One-tailed
If researchers report that the results from their study were significant, p < 0.05, this means that ______.
If they conducted the study over, they would get the same results less than 5 times in 100
The results are untrustworthy
We would expect the results to occur by chance less than 95 times out of 100
We would expect the results to occur by chance less than 5 times out of 100
Which of the following accurately defines a Type II error?
Rejecting when it is true
Failing to reject when it is true
Rejecting when it is false
Failing to reject when it is false
What does it mean when a computer printout reads “p = 0.03”?
The result falls in the extreme 3% of the sampling distribution and the probability of a Type I error is 0.03.
The result falls in the extreme 3% of the sampling distribution and the probability of a Type II error is 0.03.
The probability of a Type I error (0.03) is smaller than α (0.05), and, therefore, the results are nonsignificant.
The probability of an error should be reported as p < 0.01.
Which of the following tests is considered more powerful?
A one-tailed test
A two-tailed test
Neither; they are both equally statistically powerful
Which is more powerful depends on the sample size
If you reject the null hypothesis, which of the following may occur?
A correct decision or a Type I error
A Type I error or a Type II error
A correct decision or a Type II error
A correct decision or a Type I error or a Type II error
Power is equal to ______.
The value of the Type II error subtracted from 1
The value of Type I error subtracted from 1
1 subtracted from the value of the Type II error
1 subtracted from the value of the Type I error
What happens to the probability of committing a Type I error if the level of significance is changed from alpha = 0.01 to alpha = 0.05?
The probability of committing a Type I error will decrease.
The probability of committing a Type I error will increase.
The probability of committing a Type I error will remain the same.
The change in probability will depend on your sample size.
What is the standard error of the mean for a distribution of scores where standard deviation for the population = 50 and the size of the sample = 75?
5.77
0.066
1.5
Unable to determine
The standard deviation of the sampling distribution is called the ______.
Standard deviation
Deviation of the sample
Standard error of the mean
Standard error of the population
What is the purpose of the critical value?
To determine the size of the region of rejection
To determine the maximum allowable population standard deviation
To determine the likelihood that the population mean was obtained by chance
To determine the value of z needed to conclude that the population mean was obtained by chance.
What is the standard error of the mean for a distribution of scores where the standard deviation for the population = 15 and the size of the sample = 100?
0.15
1.5
15
Unable to determine
The standard error of the mean will always be ______ the standard deviation for a distribution of individual scores.
Smaller than
Larger than
The same as
The same as or larger than
When can the z-test be used in statistical hypothesis testing?
When the measure of central tendency used for the raw scores is the median
When the raw scores are transformed from a nominal scale to a ratio scale
When the raw score population’s standard deviation is known
When the z-test standard deviation is known
If the obtained value is higher than the critical value, we ______.
Reject the null hypothesis
Accept the null hypothesis
Reject the research hypothesis
Cannot determine
What is the standard error of the mean for a distribution of scores where standard deviation for the population = 24 and the size of the sample = 144?
20
0.167
2.0
Unable to determine
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