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# Psychology 1000- Midterm Exam Guide - Comprehensive Notes for the exam ( 184 pages long!)

Department
Psychology
Course Code
PSYCH 1000
Professor
Dr.Mike
Study Guide
Midterm

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Western
Psychology 1000
MIDTERM EXAM
STUDY GUIDE

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Psych 1000 Appendix: Statistics
October 14, 2014
1
Statistics
o How do statistics help us understand data?
o How do we calculate measures of central tendency? (Know how to calculate)
o What does variance mean? (Understand this, but not necessary to calculate)
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Examples of Statistics
In North America…
o 99% of homes have 1 or more TV(s)
o The average # of TV’s per house = .
o Average daily viewing = 6 hours 47 mins
o 66% watch while eating dinner
o 50 million Netflix subscribers
The average Canadian family has 2.3 children
Car x gets an average 9 km/L
Central Tendency = mean, median, and mode
Mean (); M
Add up numbers and divide by N (# of students)
Can be strongly affected by one or more extremely high or low scores that don’t
represent the group as a whole
xmas = 68
Median (MDN)
Midpoint of ranked distribution
o If there are an even number of scores in the set, take the mean of the 2
middle numbers
Used when data is extreme (outlaws), ex. Salaries
MDNxmas = 64.5
Mode
Most frequent score, easy to view from a frequency distribution
MODExmas = 60
Normal Curve
Symmetrical bell-shaped curve
o Overall shape determine by dispersion of scores
MDN MODE
Range
Difference between highest and lowest score
o Influenced by extreme scores
o Same value can be obtained with a variety of scores
Rangexmas = 85 58 = 27
Variance (s2)
Degree of fluctuation of scores around the mean
Some distributions have high variance, others are relatively low
Take each deviation score, square it, and add up the squared scores
Psych Xmas Exam Scores
Student
1
85
2
60
3
72
4
58
5
60
6
80
7
69
8
60
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Psych 1000 Appendix: Statistics
October 14, 2014
2
Standard Deviation (s or SD) is the square root of the variance
o The smaller the SD, the pointier the graph
Want a smaller graph because it shows a pattern rather than a lot of
variation in distribution
o Z-score = score -
Produces a number in standard deviation units
Calculates the distance from the mean x
In Summary
A group of scores shows distributions
Analyze data by looking at frequency, mean, median, and mode
o Range
o Variance
Z-scores allow comparisons to the mean
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