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AICP Statistics
Stat terms & functions
Question | Answer |
---|---|
What is the range? | The highest - lowest number in a population. |
What is the mode? | Value that occurs most often in a population |
What is the population | All recorded observations in a study |
What is the sample | A specific defined portion/group of a population |
What is a positive correlation between variables | When a positive (high) on one variable produces a positive (high) result on another variable |
What is a negative correlation | When a reduction in one variable leads to a decline in another variable |
What is a random sample | a set of items that have been drawn from a population in such a way that each time an item was selected, every item in the population had an equal opportunity to appear in the sample. |
Why is a random sample important? | To provide an approximation of the characteristics of the population |
What is a normal distribution? | One tht is symmetrical around the mean. A bell curve. |
Inferential Statistics | The characteristics of a population based on observations on a sample of the population. |
What are the three methods of reporting Central Tendandy? | Mean, Median, and/or Mode |
What is the Median in a sample? | The middle number in a distribution. (2, 3, 4, 12, 16) answer = 4 |
What are some examples of nominal data? | Race, SSN, sex. Mutually exclusive groups that lack intrinsic order |
What is the only measure of central tendancy that can be used for nominal data? | Mode |
Name the methods of central tendancy that can be used for ordinal data? | Mode & Median |
Values that are ordered so that inferences can be made regarding the magnitude is what type of data (i.e. letter grade) | Ordinal Data |
What type of data has an ordered relationship with magnitude (i.e. temperature) | Interval Data |
Any form of central tendancy can be used for this form of data that has an ordered relationship & equal intervals. | Ratio Data |
What is a variance? | The average squared difference of scores from the mean score of a distribution |
Standard Deviation | Square root of the variance |