UCF QMB3200 Final Exam Questions with
Correct Answers
Null Hypothesis
Mu <= 24; No change or effect present
Alternative hypothesis
Mu > 24; Change or effect is present
X is
Independent
Y is
Dependent
Test Statistic
Whether a null hypothesis should be rejected
Scatter Diagram
Visual display of relationship between x on a horizontal axis and y on a vertical axis
Matched samples
Samples where each data value in one sample is paired with a corresponding value in the
other.
Matched sample (benefit)
Reduced variance
Random sample
, Where each element in the population has an equal chance of being selected, and is finite
Sampling distribution
Probability distribution of all possible values of a sample statistic
Finite population
Chooses a random number, picks the smallest
What happens if p < alpha?
Reject null hypothesis
When do you use a norm dist?
When mean and sigma are present
When do you use T dist?
When standard deviation is unknown
Simple linear regression
An equation estimating the relationship between one independent (X) and one dependent (Y)
variable.
If a sample size is larger...
There is less error
If a P-value is smaller...
There's more evidence/value
T-test
Compare the mean of 2 samples
Correct Answers
Null Hypothesis
Mu <= 24; No change or effect present
Alternative hypothesis
Mu > 24; Change or effect is present
X is
Independent
Y is
Dependent
Test Statistic
Whether a null hypothesis should be rejected
Scatter Diagram
Visual display of relationship between x on a horizontal axis and y on a vertical axis
Matched samples
Samples where each data value in one sample is paired with a corresponding value in the
other.
Matched sample (benefit)
Reduced variance
Random sample
, Where each element in the population has an equal chance of being selected, and is finite
Sampling distribution
Probability distribution of all possible values of a sample statistic
Finite population
Chooses a random number, picks the smallest
What happens if p < alpha?
Reject null hypothesis
When do you use a norm dist?
When mean and sigma are present
When do you use T dist?
When standard deviation is unknown
Simple linear regression
An equation estimating the relationship between one independent (X) and one dependent (Y)
variable.
If a sample size is larger...
There is less error
If a P-value is smaller...
There's more evidence/value
T-test
Compare the mean of 2 samples
