AUGUST 27, section 1.1
Categorical charts shown on board.
Always MAKE A SUMMARY TABLE
QUANTITATIVE VARIABLES:
A variable: holds varying values
Quantitative: holds a MEASUREMENT
After we measure MANY subjects we have a sample
Sample: collection of measurem
Temporary Recitation and Homework Schedule
Date
9.4-9.5
9.11-9.12
9.18-9.19
9.25-9.26
10.2-10.3
10.910.10
10.1610.17
10.2310.24
10.3010.31
11.6-11.7
11.1311.14
11.2011.21
11.2711.28
12.4-12.5
Recitation
Minitab Chap 1-3
Chap 1-2
Chap 2-3
Chap 3-4
Chap 4 R
Chap 4
Ux+y = Ux + Uy
Ux-y = Ux Uy
= x1p1 + x2p2 + + xk pk
P(A or B) = P(A) + P(B) P(A and B)
P(B|A) =
P(A and B) = P(A)P(B|A)
Chap 5
o X(bar) =
o =
o Variance: ; S.D. =
p(hat) = X/n
=p
o = np
o
X is approximately N( np, )
P(hat) is approximately N(p
Eliza Kang
Problem Set #6
5.2
=420
= 21/ = 3
5.3
= 420
= 21/ = 1
When sample size increase, the mean stays the same, but the standard deviation will
decrease (smaller value).
5.4
(-2 ) to (+2 )
(185- 2(70/7) to (185+2(70/7)
165 to 205
or
about 95% of a
Chapter4
Iftwoeventshavenooutcomesincommon,theprobabilitythatoneortheother
occursisthesumoftheirindividualprobabilities
o Ifoneeventoccurs40%,adifferenteventoccurs25%;andthetwocan
neveroccurtogether,thenoneortheotheroccurson65%ofalltrials
o Disjoint:P(
Available data: data that were produced for some other
purpose but may help answer question of interest
Bar graph/Pie chart: display distributions of categorical
variables (counts/percents); (pie chart: include all categories)
Block: group of experimental
Eliza Kang
October 9, 2014
Homework #5
4.48
P(0.2<x<0.7)
0.7-0.2 = 0.5
4.62
a) P(X 0.30) = 0.70
b) P(X = 0.30) = 0.00
c) P( 0.3 < x < 1.30) = 1.00
d) P(0.20 X 0.25 or 0.7 x 0.9) = 0.05 + 0.20 = 0.25
e) X is not in the interval 0.4 to 0.7 = 0.4 + 0.3 = 0.7
34.70.90.
ElizaKang
HomeworkAssignment#1
1.18
IpreferthestemplotofFigure1.8becauseIcanseetheshapeofthestemplot.Wecansee
thatgirlswillbeskewedtotheleftwhileboysareskewedtotheright.Wecanseethe
spreadandthecentereasilyofthedatapointsofeachcategory.
1.34
a)
W
NOV 19TH: SINGLE PROPORTION (8.1)
NOV. 21ST: TWO PROPORTIONS (8.2)
* both the 2 population t-test and the two proportions z test are more involved, please
practice on this. EXTRA-CREDIT WILL FOCUS ON THESE TWO types.
page 474: Adult and Video Games: p-hat
AUGUST 29: CHAP 1 SECT 1.2
Pie Chart:
All items in Category MUST belong to the same family
COLUMN OR BAR CHART: items in categories do NOT belong in same family
Garmin holds 47% of the GPS market.
Cell phone is the technology that
Has most affected young
SEPTEMBER 10TH: Sections 2.3 and 2.4
FILE:
BEER FOR BOTH SECTIONS
HOME: problem 2.73, file Anscombe
FROM 2.2 PAGE 102: What numbers are in the Correlation r calculations?
Equation that will fit the LEAST SQUARES LINE (Minimum Error Line) through the data
September 3rd:
1.2 (Standard Deviation, p. 39 to 41)
1.3 (Density Curves, Empirical Rule, Z-score, Normal Quantile Plots)
2.1 Scatterplots
1.2 p. 39. Made-up Example (ALSO WATCH STANDARD DEVIATION VIDEO on BB or
directly from YouTube John Barroso channel
SEPT 19: 3.2 AND 3.2 (Sampling Design + Statistical Inference)
EXAM 1 IS OCTOBER 3RD AND COVERS UP TO 4.3
MAIN IDEA IN SAMPLING (p. 190)
CL 232 from 12:30 to 12:50 Tue/Thu
Wednesdays: 105 Lawrance Hall from 5:30p to 5:55p We want to find an estimate of th
SEPTEMBER 12: FINISHING CHAPTER 2
* make sure you keep up to your text reading. It will quickly add up and become complex
page 130: high r DOES NOT MEAN X CAUSES Y
TO DETERMINE CAUSE we need to run an EXPERIMENT
In the 1950s tobacco companies CONTESTED (i
OCTOBER 1ST: Section 4.4 (mean and variance of discrete RV)
*THURSDAY: Exam 1
a. multiple choice
b. no cheat sheet
c. 30 questions, 50 minutes time
d. no calculator borrowing, no cell phone calculator
* HAVE YOUR PITT ID ON YOUR DESK
Starts on page 260
Ra
OCTOBER 22ND: Bayes, Sampling Distribution of the Mean, Binomial (end of 4, then 5.1 and 5.2)
NOTE: A pdf packet is posted on BB, Extra Materials button SHOWING 7 BAYES PROBLEMS (with
solutions)
THE PROBABILITY OF AN EVENT OF INTEREST DEPENDS ON BOTH: the
OCTOBER 24TH: finishing Binomial, Starting 6.1
Probability that a tomato plant yields about 4 pounds of tomatoes is 0.20.
If we plant 6 plants, what is the probability that:
a) Exactly 2 plants yield that much?
b) At most 2 plants yield that much?
USING C