1. Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Spring 2017 Room 150 Harvill Building 9:00 - 9:50 Mondays, Wednesdays & Fridays.
Welcome

2. A note on doodling

3. Schedule of readings Before our fourth and final exam (May 1st)
OpenStax
Chapters 1 – 13 (Chapter 12 is emphasized)
Plous
Chapter 17: Social Influences
Chapter 18: Group Judgments and Decisions

4. Homework on class website:
Please complete homework worksheets #25 and #26
Multiple Regression Worksheet and Test Review
Extended Due: Friday, April 28th

5. Test review and tutoring
Lab sessions
Everyone will want to be enrolled
in one of the lab sessions
Optional
Test review and tutoring

6. By the end of lecture today 4/26/17
Review for Exam 4

7. Review
Sheet

8. As variability goes down, it is easier to reject the null
go down
narrower
As variability goes down, it is easier to reject the null
ANOVA
99.18%

9. .9918 .4918 .5000 40 z = 52-40 5 z = 2.4 Go to table .4918 Add area
Lower half
= .9918
also fine: %
.9918
.4918
.5000
z =2.4 40

10. As variability goes down, it is easier to reject the null
go down
narrower
As variability goes down, it is easier to reject the null
ANOVA
99.18%
Interval
True experiment

11. r2 Income Education has the largest correlation coefficient of 0.85
Yes No
Age IQ
0.91 No
Income x Education is a significant correlation, p < 0.05
None r2

12. 75% because .52 = .25, so 25% is explained so 75% is not explained
Standard error of the estimate because it is a measure of the
amount of error in the regression line (average of residuals)
81% because .92 = .81
19%
The correlation between the heights of mothers and their daughters is moderate, positive and statistically significant, r(28) = 0.60; p< 0.05
36% because .62 = .36
64% because so 36% is explained so 64% is not explained – 36 = 64
75% because .52 = .25, so 25% is explained so 75% is not explained

13. r = 0.92
r2 =
b =
84.64%
15.36%
b =
55.286
b =
residual r r2 b r2 b a
0 +1.0
anything anything
0 +1.0
anything anything
anything anything
any positive number

14. They are both difference from expected value
Residual is difference from score to predicted score (y – y’)
Deviation score is difference from score to mean (x - µ)
Over-performing
The standard error of the estimate is the average of the residuals just
like standard deviation is the average of the deviation scores
zero
That there is no significant difference between these groups

15. Y’ = 480.94 - 4.89 (temp) - 14.76 (insulation) + 3.06 (age)
480.94
-4.89
-14.76
3.06
Y’ = (temp) (insulation) (age)
Y’ = x x x3

16. Decrease level of confidence from 99% to 95%
Yes
Decrease variability
(by increasing sample size or minimize variability due to error)
Decrease level of confidence from 99% to 95%
Easier
Narrower
Easier
Common and rare scores

17. didn’t make a difference it did
Get smaller
Type of cartoon
Level of aggression
Two-tail
True 48
No difference in level of aggression based on type of cartoon watched
Type of cartoon did make difference in level of aggression
did make a difference
it didn’t
didn’t make a difference
it did
Mean approaches true population
Shape approaches normality
Variability goes down

18. 58
3.5 12 3 25
100
4.0
84 percentile

19. Thank you!
See you next time!!