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.

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.

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
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