This is a sample test to gauge your knowledge about statistics and probability. Probability Sample Test quiz will help you revise for exams and increase you know how. All the best.
This event is certain. It will definitely occur on every trial.
This event is extremely likely and will occur almost all the time.
This event is likely and will occur more often than not in the long run.
This event is likely; however it is more likely to NOT occur than to occur.
This event is very unlikely, but it will occur once in a while.
This event is certain. It will definitely occur on every trial.
This event is extremely likely and will occur almost all the time.
This event is likely and will occur more often than not in the long run.
This event is likely; however it is more likely to NOT occur than to occur.
This event is very unlikely, but it will occur once in a while.
This event is certain. It will definitely occur on every trial.
This event is extremely likely and will occur almost all the time.
This event is likely and will occur more often than not in the long run.
This event is likely; however it is more likely to NOT occur than to occur.
This event will occur half of the time in the long run
This event is certain. It will definitely occur on every trial.
This event is extremely likely and will occur almost all the time.
This event is likely and will occur more often than not in the long run.
This event is likely; however it is more likely to NOT occur than to occur.
This event will occur half of the time in the long run
This event is extremely likely and will occur almost all the time.
This event is likely and will occur more often than not in the long run.
This event is likely; however it is more likely to NOT occur than to occur.
This event is very unlikely, but it will occur once in a while.
This event is impossible. It can never occur.
This event is extremely likely and will occur almost all the time.
This event is likely and will occur more often than not in the long run.
This event is likely; however it is more likely to NOT occur than to occur.
This event is very unlikely, but it will occur once in a while.
This event is impossible. It can never occur.
Standard deviation has a unit of measure.
Standard deviation is only positive.
Standard deviation is inflated by outliers.
Standard deviation should be used to measure spread even when the mean is not an appropriate measure of center.
A parameter because the average is for all Stats221 students.
A parameter because is the average for all Stats221 students at BYU.
A statistic because it summarizes the results of the entire population of Stats221 students at BYU.
A statistic because it summarizes the results of this sample of 1000 Stats221 students.
A parameter because the average is for all students.
A parameter because it is the average for all students at BYU-Provo.
A statistic because it summarizes the results of the entire population of students at BYU-Provo.
A statistic because it summarizes the results of this sample of 1500 BYU-Provo students.
The Law of Large Numbers.
The Central Limit Theorem.
The principle of least squares.
The sampling distribution of the mean.
There is no such result.
The distribution of values of x in the population of interest.
The distribution of values of sample mean, but only in a very large samples.
The distribution of values of x in a specified sample from the population.
The distribution of values of sample mean from all possible samples of a specified size.
The histogram of values of x in a random sample of size n.
0.9082
0.9099
0.0918
0.0901
0.1600
0.0038
0.0918
0.9962
0.9082
Calculate probabilities of sample mean from a large random sample taken from a non-Normal population.
Determine whether the data are sampled from a population which is Normally distributed.
Specify the probability of obtaining each possible random sample of size n.
Know exactly what the value of the sample mean will be.
A
B
C
D
A
B
C
D
A
B
C
D
A
B
C
D
18.18%
15.38%
42.86%
30%
27.08%
45.45%
18.18%
10.42%
81.81%
18.18%
15.38%
27.08%
30.76%
There is a curved relationship between ethnicity and profession.
There is a linear relationship between ethnicity and profession.
There is an association between ethnicity and profession.
There is no association between ethnicity and profession.
90%
9%
81%
None of the above
No, because the relationship between X and Y is non-linear.
No, because Y has more spread for larger value of X.
No, because there is no relationship between X and Y.
Yes, because X and Y has a linear relationship.
Yes, because there is a relationship between X and Y.
No, because the relationship between X and Y is non-linear.
No, because Y has more spread for larger value of X.
No, because there is no relationship between X and Y.
Yes, because X and Y has a linear relationship.
Yes, because there is a relationship between X and Y.