54 CHAPTER 2 Methods for Describing Stafsiofnaa
Figure 2.21
Reproduction of SAS numerical l Mean Std Dev uariame N gamma. aximum Median
descri tivc measur f r 00 -
p es 0 1 l 35.5340000 2.41?89?1 5.8452263 100 30.0000000 44.9000000 37.0000000
l
EPA mileag
Next weeks quiz in discussion will be on the binomial.
The standard example of a binomial rv is the number of heads in n
tosses of a coin. The tosses are independent, and the probability of
head is the same for each toss.
We worked through an example with
The quiz will be in discussion on Wednesday.
The quiz will be on measures of central tendency and measures of
variability; i.e. mean, median, range, standard deviation and
variance. I announced some practice exercises in class on Tuesday
and I will announ
Today, we will talk about independence of events (sec 3.6),
review probability, and move on to discrete random variables
(Chapter 4).
Discrete random variables will be on next weeks quiz.
Independence
Events A and B are independent events if the occurrenc
The final will be in this classroom (1957 E, Rm 113)
I will come to class Tuesday 4/25 for questions you may have;
there will not be class on Thursday 4/27.
Last thing from Regression and Correlation is the definition of
correlation.
r= SSxy / (SSxx SSyy)
The first HW will be due next week in discussion on Wed 2/15
see Blackboard.
I will post an announcement on Blackboard about next weeks
quiz.
We went over discrete random variables. Now we consider a
particular discrete random variable the Binomial.
(Sec
There will be a quiz in class next week, in your discussion section.
It is closed book, closed notes, but bring your calculator (just the basic
arithmetic operations plus squares and square roots.)
I will post information on Blackboard about it.
The tempe
cfw_'93 Find the approximat pmpurun of students whose scores 51m: 11:! I. '
_, .5574 Iii:
cfw_it mat is the answcr to [h] if the distribuuu of seams is not mania: _
'shaped?
IM' ,-
f';3|l-rf4 r?3 I, I5?! cfw_if 34
Today, I will cover the last CI (Confidence interval), large sample
CI for difference of proportions.
Check Blackboard for HW due next week one of the questions is
on large sample CI for p1- p2, which we cover today.
Previous topic: large-sample CI for 1-
Remember, there is HW next week
Today we finish hypothesis testing.
Weve covered the large sample test of a population mean , a
population proportion p, and the difference of population means 1
2 .
Hypothesis tests for comparison of population proportion
I will post an announcement about the next quiz (3/22), on smallsample CI for .
I posted an announcement yesterday about some people turning in
HW based on exercises from the wrong edition we use the
Thirteenth edition.
As stated in class, DO NOT use the
I have posted HW 4, due Wednesday April 12th.
It includes a problem on material that we will cover today.
Hypothesis tests for difference of population means
Large, independent samples
Section 9.2, pp 438-439. Just after the CI material in the same
sectio
I have posted an announcement on Blackboard about next weeks
quiz on CIs (Confidence Intervals) for and p.
HW 2 is due in discussion on Wed 3/8.
Recall
Formula for large-sample CI for (Section 7.2)
100(1- )% CI for is
(X- z /2 x , X+ z /2 x ),
where z /2
Practice Set 1
1. Find (exactly, without rounding off) the missing values in the following frequency table
Class Interval
10-20
20-30
30-40
40-50
50-60
Frequency
12
25
Relative Frequency
0.280
0.328
0.200
2. The annual rate of return of a sample of 20 com
Practice set 2
1. A local bank has 5682 checking accounts. The bank found that the mean and median balances of those
5682 accounts are $8,350, and $6,540, respectively. Based on this information, would you conclude that
the proportion of the banks checkin
Midterm Exam, Stat 105310, Spring 2.015
Time: 75 minutes
Name: g0 iii/(ii O 3 Signature
Recitation Section (circle one): Stat 105330 (3:5 5-4 :45) Stat 1053-31 (5:00-5:50)
Stat 105332 (11:10wl2:00) Stat 105333 (12:45lz35) Stat 1053-34 (9:3510:25)
Answer a
Practice Problems
1. In 1960, census results indicated that the age at which American men first married had a mean of 23.3
years. It is widely suspected that young people today are waiting longer to get married. We want to find
out if this can be substant