Stat 221 Introduction to Probability and Statistics Fall 2008
Exam 2 Preparation
- Logistical
details
- Friday,
October 31
- 50
minutes
- Open-book,
open-notes
- Need
to bring calculator, normal probability table
- Coverage
- Topics
7-10, 12-15, handouts on statistical significance with quantitative
response, normal distributions
- Notes
from days 18-28
- Quizzes
10-16
- Investigations
4-5
- Resources
available online
- This
preparation sheet
- Day-by-day
notes, handouts
- Quiz
solutions
- Investigation
solutions
- Optional
assignments, solutions (via Blackboard)
- Types
of questions to expect
- Short
answer (e.g., reading information from boxplots, identifying which
distribution has most variability)
- Calculations
(e.g., five-number summaries, normal probabilities)
- Interpretations
and explanations (e.g., interpreting p-value, explaining whether a
measure is resistant)
§
Possibly of computer output
- Similar
to exam 1, in-class examples, quizzes, investigations, optional
assignments
- Advice
for preparing
- Prepare
and organize your notes carefully
- Don’t
study less because it’s open-notes/book
- Plan
not to rely on your notes/book too much
- Re-read
the day-by-day notes
- Re-read
highlighted passages, watch-out, wrap-up sections of book
- Focus
on understanding, not memorization
- Don’t
forget about fundamental ideas from earlier in course
- Review
and make sure that you can answer the quiz, investigation, optional
assignment questions
- Ask
questions during review class session (Thur), office hours (Wed 2-4, Thur
1-2)
- Advice
during the exam
- Show
up on time!
- Be
cognizant of time constraint
- Read
carefully
- Relate conclusions to
context
- Write and explain
clearly
- Do
not elaborate excessively
- Show
details of calculations
- Take
advantage of partial information
Outline (of most
important topics since exam 1)
- Dotplot,
histogram, stemplot, boxplot
- Features:
shape, center, spread, outliers
- Mean,
median (center)
- Standard
deviation, IQR, MAD (spread)
- Resistance
- Five-number
summary
- Outlier
test
- Statistical
significance with quantitative response
- Simulating
randomization test
- Null
model, simulation, P-value
- Conclusions,
reasoning process
- Normal
distributions
- Normal
curves
- Effects
of mean m, std dev s
- Standard
normal curve (mean 0, std dev 1)
- Calculations
- Standardization,
z-scores
- Normal
probability table
- Normal
percentiles (reading table “in reverse”)
- Sampling
distributions
- Parameter,
statistic
- Sampling
variability
- Central
Limit Theorem (CLT) for sample proportion
- Technical
conditions
- Effect
of sample size
- Calculations
- Central
Limit Theorem (CLT) for sample mean
- Technical
conditions
- Effect
of sample size
- Calculations