1. taking stock of the last 8 chapters
Looking Back…
taking stock of the last 8 chapters

2. Central Ideas… Statistical Inferences Involve:
carefully collected data (chp 3)
clearly stated hypotheses (chp 6)
application of precise rules (chp 4,5,7,8)
precise use of statistical language (ch 1,2)

3. Design a test tell you something about a population
Collect data
Formulate hypotheses
Select appropriate test
Normal z-score
Binomial
t-test
Apply test – draw inference

4. Example… Was Midterm 2 a “good” test?
What is a “good test”? What are its characteristics?
A) creates a distribution of scores
B) ranks students
How could statistical analysis help answer our original question?
The results…

5. A closer look at the data…
Histogram of entire class
Does it look “normal”?
Are there two different populations here?

6. Does Stats 300 Favour Students in the Natural Sciences?
Results:
Can we pose this as a “statistical question”?
Ho:
Ha:
The means scores for both groups was the same
The BSc group had a higher mean score
than the BA group

7. How can we test this?
Given what you know about the data sets, what is the appropriate statistical test?
Factoid: Top two marks: 1 BSc, 1 BA, Top 5 marks: 3 BSc, 2 BA

8. Was time a factor in this exam?
How could we answer this using stats?

9. Looking Forward…
One major topic remaining: Analysis of Variance (ANOVA)
Planned 3- review classes on specific trouble spots
Binomial distributions
T-tests and confidence ?
Read 12.1 in preparation fro Wednesday’s class.