INTRO. TO STATISTICS EXAM #1 STUDY GUIDE
UPDATED ACTUAL QUESTIONS WITH CORRECT
ANSWERS
Question 1.
The square root of the variance
- Also measures the spread of the data from the mean
ANSWER
Standard Deviation
Question 2.
Where the majority of the data values lie more than 4 standard deviations away from the mean (not
symmetrical)
ANSWER
Not Normal Curve
Question 3.
The complete collection of *all* measurements or data that are being considered
ANSWER
Population
1/8
, Question 4.
The probability of event 'A' and event 'B' occurring
- Independent: P(A and B) = P(A) x P(B)
- Dependent: P(A and B) = P(A) x P(B/A) [Probability of B given A]
ANSWER
A *and* B
Question 5.
The probability of 'Not 'A'' occurring
1 - P(A) = P(Not A)/*P(B)*
ANSWER
Not A
Question 6.
Result from infinitely many possible quantitative values where the collection of values is not
countable Ex. The weight of everyone in the classroom.
ANSWER
Continuous Data
Question 7.
The number of standard deviations that a data value is away from the mean
- Can be negative (below the mean) or positive (above the mean)
ANSWER
Standard Score v. Z-Score
2/8
UPDATED ACTUAL QUESTIONS WITH CORRECT
ANSWERS
Question 1.
The square root of the variance
- Also measures the spread of the data from the mean
ANSWER
Standard Deviation
Question 2.
Where the majority of the data values lie more than 4 standard deviations away from the mean (not
symmetrical)
ANSWER
Not Normal Curve
Question 3.
The complete collection of *all* measurements or data that are being considered
ANSWER
Population
1/8
, Question 4.
The probability of event 'A' and event 'B' occurring
- Independent: P(A and B) = P(A) x P(B)
- Dependent: P(A and B) = P(A) x P(B/A) [Probability of B given A]
ANSWER
A *and* B
Question 5.
The probability of 'Not 'A'' occurring
1 - P(A) = P(Not A)/*P(B)*
ANSWER
Not A
Question 6.
Result from infinitely many possible quantitative values where the collection of values is not
countable Ex. The weight of everyone in the classroom.
ANSWER
Continuous Data
Question 7.
The number of standard deviations that a data value is away from the mean
- Can be negative (below the mean) or positive (above the mean)
ANSWER
Standard Score v. Z-Score
2/8
