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.
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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.
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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
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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
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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0.9082
0.9099
0.0918
0.0901
0.1600
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0.0038
0.0918
0.9962
0.9082
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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.
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A
B
C
D
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A
B
C
D
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A
B
C
D
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A
B
C
D
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18.18%
15.38%
42.86%
30%
27.08%
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45.45%
18.18%
10.42%
81.81%
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18.18%
15.38%
27.08%
30.76%
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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.
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90%
9%
81%
None of the above
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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.
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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.
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The population must not be skewed.
The population distribution from which the data are sampled must be Normal.
A large simple random sample must be taken.
The data must have a bell-shaped distribution.
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The sampling distribution of sample means is Normally distributed with standard deviation less than 10.
The sampling distribution of sample means is Normally distributed with standard deviation of 10.
The sampling distribution of sample means is Normally distributed with standard deviation greater than 10.
The sampling distribution of sample means is not Normally distributed with standard deviation less than 10.
The sampling distribution of sample means is not Normally distributed with standard deviation of 10.
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No, because the population standard deviation is not known.
No, because the Central Limit Theorem does not apply.
Yes, because of the sampling distribution of sample means is Normal.
Yes, because of the Law of Large numbers.
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A
B
C
D
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$80 to $680
$351.4 to 408.6
$280 to $480
$100 to $380
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Proposal sample #1
Proposal sample #2
Both proposed samples have equal chance of having an unusually high sample mean.
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The point labeled A does not have a residual.
The point labeled A has a positive residual.
The point labeled A has a negative residual.
The point labeled A is not an outlier.
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Dan shoots better using Doria method.
Dan shoots better using Traditional method.
There is no association between Danâ€™s shooting percentage and method of shooting.
There is a strong association between Danâ€™s shooting percentage and method of shooting.
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Sample distribution
Uniform distribution
Population distribution
Normal distribution.
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Is greater than 70 because of the skewness.
Is close to but not equal to 70.
Is exactly equal to 70.
Cannot be determined.
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Is less than 10.
Is exactly equal to 10.
Is greater than 10.
Cannot be determined.
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Approximately Normal.
Right skewed.
Left skewed.
Flat or uniform.
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Andy
Samantha
Britt
Christine
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Andy
Samantha
Britt
Christine
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A
B
C
D
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It can be computed from the number of ways the 52 cards can be dealt.
It is impossible to compute.
It is approximated by playing lots of times and dividing the number of times you win by the number of times you play.
It is ,007 because this is Bond's number.
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For each additional mile, time in days to deliver the shipment increases by .02 day on average.
For each additional mile, time in days to deliver the shipment increases by 6.9 days on average
For each additional day, there is a 0.02 miles a shipment traveled on the average.
For each additional day, there is a 6.9 miles a shipment traveled on the average.
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Eighty-three point seven percent of delivery time is based on distance.
Distance explains 83.7% of the variation in delivery time.
Distance can be used to predict delivery time about 83.7% of the time.
Delivery time can be used to predict distance about 83.7% of the time.
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The distances of the points to the line are as small as possible.
The sum of the squared residuals is as small as possible.
The predicted shipping time are identical to the actual shipping time used to determine the line.
The sum of the deviations of the shipping days from the mean shipping days is minimized
The predicted shipping days is as small as possible.
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6.9 days
.02 day
3.1 days
Cannot be computed.
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No, because we do not know whether the deviation will be positive or negative.
No, because Seattle is much farther away than any other observed city in the data set.
Yes, because the predicted value is reasonable.
Yes, because the increase in shipping days is the same for each shipping mile.
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The correlation is 0.
The correlation is 1.5
The correlation 3.5
The correlation is positive, but we cannot say what the exact value is.
It is impossible to say anything about the correlation from the information given.
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0.85
0.45
-0.85
-0.45
0.35
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R is affected by outliers.
Values of r range from -1 to +1.
The correlation r has no unit of measure.
If the sign of r is negative, then increases in one variable are associated with decreases in the other variable.
The designations of which is the explanatory variable and which is the response variable cannot be interchanged.
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R in Plot A is less than r in Plot B.
R in Plot A is greater than r in Plot B.
R in Plot A is equal to r in Plot B.
R in Plot A is not comparable with r in Plot B.
Not enough information exists to compare the two r's.
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