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QNT 275 Week 2 Statistical Symbols and Definitions Worksheet
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QNT 275 Week 2 Statistical Symbols and Definitions Worksheet
Resource: Symbols and Definitions Worksheet
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Review: Symbols and definitions from the textbooks.
Complete the 20 question matching worksheet.
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Statistical Symbols and Definitions Matching Assignment
Match the letter of the definition on the right to the appropriate symbol on the left.
Symbols | Definitions |
1. S (Uppercase Sigma) ____ | a. Population |
2. m (Mu) ____ | b. Sample Standard Deviation |
3. s (Lowercase Sigma) ____ | c. Greater Than or Equal To |
4. p (Pi) ____ | d. Sample |
5. N ____ | e. Population Standard Deviation |
6. s ____ | f. Summation |
7. ≥ ____ | g. Less Than or Equal To |
8. ≤ ____ | h. Population Mean |
9. n ____ | i. Probability of success in a Binomial trial |
Match the letter of the term on the right to the definition of that term on the left.
Definitions | Terms |
1. The weighted average of the squared deviation scores from a distribution mean. ____ | a. Reliability |
2. Midpoint in the distribution of numbers. ____ | b. Mode |
3. It has to do with the accuracy and precision of a measurement procedure. ____ | c. Interval |
4. It means in name only, data that can only be classified and counted by category and have no inherent order. For example: The colors chosen by car buyers at a dealership ____ | d. Variance |
5. The difference between the largest and smallest score in a distribution. ____ | e. Median |
6. The arithmetic average. ____ | f. Ratio |
7. Refers to the extent to which a test measures what we actually wish to measure. ____ | g. Mean |
8. The most frequently occurring value in a set of numbers. ____ | h. Nominal |
9. A measurement that uses absolute values. Height, weight, distance, and money are all examples. ____ 10. A measurement scale that has no meaningful absolute zero point. For example: The scheduled arrival times (2:00pm, 2:30pm, and 3:00pm) of delivery trucks at a loading dock. ____ 11. Determines how far away the data values are from the mean. ____ | i. Range
j. Standard Deviation
k. Validity |