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Descriptive Statistics

Descriptive Statistics. Mode. The mode is the most frequently occurring score in a set of scores. If two different scores occur most frequently, then it is a bimodal distribution.

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Descriptive Statistics

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  1. Descriptive Statistics

  2. Mode • The mode is the most frequently occurring score in a set of scores. If two different scores occur most frequently, then it is a bimodal distribution. • This is the only measure of central tendency that can be used with nominal data. For instance, the mode would be the measure of choice when investigating the most frequently worn brand of tennis shoe in your high school. • When a class election is based on a plurality or whoever receives the most votes, the student with the mode is the winner. • The mode may be less influenced by outliers and is good at representing what is "typical" for a given group of numbers, but may be useless in cases where no number occur more than once.

  3. Medium • The median is the score that falls in the middle when scores are ranked in ascending or descending order. • Thus, the median cannot be used for nominal data as it cannot be ranked. • The median score is the best indicator of central tendency when there is a skew, because the median score is unaffected by extreme scores. • The median is at N+1 2, where N is the number of scores. If N is odd then this will be a whole number. If N is even the position will be midway between two of the values in the set. • The median gets rid of disproportionately high or low scores, but it may not adequately represent the full set of numbers.

  4. Mean • This is the arithmetic average of a set of scores. • This is the score used by teachers to indicate your semester grade. • The mean requires interval or ratio data and is calculated by dividing the sum of all the scores by the total number of scores. • The mean is always pulled in the direction of extreme scores - the mean is pulled toward any skew of the distribution. • The mean utilizes all numbers in a set to express the measure of central tendency; however, outliers can distort the overall measure.

  5. Calculating the mean • Formula for calculating the mean: • X =SX/N Where X=mean, X=raw score or data point • s=sum of, N=total number scores/observation

  6. A bit of practice? If we wanted to know what the temperatures during each of these weeks was MOST like, what would be the best indicator? Explain your reasoning.

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