Lesson 13- Descriptive Statistics- Measures of Central Tendency & Measures of Dispersion Flashcards
What is the measure of central tendency?
Measures of Central Tendency- inform us about central values for set of data- βaveragesβ- typical value
List the 3 measures of central tendency
1) Mean
2) Median
3) Mode
What is the mean?
Mean- calculated by adding all scores in data set & dividing them by total number of scores
What are the evaluation points for the mean?
π- distorted by single extreme value (anomaly) in data set β¦ value βοΈ true
π- most accurate measure- takes into account all scores
What is the median?
Median- calculated by ranking all scores in order & taking middle value- for even no. of data items take midpoint of the 2 middle values
What are the evaluation points of the median?
π- βοΈ as sensitive as mean- βοΈ all scores used in calculation β¦ unrepresentative of data if scores clustered around β¬οΈ & β¬οΈ levels
π- unaffected by extreme scores (anomalies) unlike mean
What is the mode?
Mode- most frequent value in data set
What are the evaluation points of the mode?
π- tells us nothing about other scores in data set
π- mode unaffected by extreme scores
What is the measure of dispersion?
The spread of the data
What are the 2 measures of dispersion?
1) Range
2) Standard deviation
What is the range?
Range- difference between highest β¬οΈ & lowest β¬οΈ scores in data set
What are the evaluation points of the range?
π- easily distorted by extreme values (anomalies)
π- quickβ‘οΈ & easy to calculate compared to standard deviation
What is standard deviation?
Standard Deviation- average amount that each score differs from mean
What are the evaluation points of standard deviation?
π- β¬οΈ difficult to calculate than range
π- takes into account all scores
List the 2 types of ratio
1) Part-to-whole ratio
2) Part-to-part ratio
What is a part-to-whole ratio?
Part-to-whole ratio- e.g. no. of ppl who β¬οΈ π after eating π« compared to total no. of pps
What to a part-to-part ratio?
Part-to-part ratio- e.g. no. of people who β¬οΈ π after eating π« compared to those that βοΈ