Give this one a try! - Create a frequency distribution
Complete the "grey" sections
Selected Home
Values
Selected
Home Values SORTED
$
21,570
$
31,340
$
36,970
$
46,600
$
54,480
$
$
$
$
$
113,600
125,710
107,830
219,400
46,600
$
$
$
97,060
135,310
108,940
CHAP TER
5
Continuous Random
Variables
As discussed in Section 1 in Chapter 4, a random variable is called continuous if its set of possible values contains a
whole interval of decimal numbers. In this chapter we investigate such random variables.
1. CONT
CHAP TER
4
Discrete Random Variables
It is often the case that a number is naturally associated to the outcome of a random experiment: the number of
boys in a three-child family, the number of defective light bulbs in a case of 100 bulbs, the length of ti
CHAP TER
6
Sampling Distributions
A statistic, such as the sample mean or the sample standard deviation, is a number computed from a sample. Since
sampling distribution
a sample is random, every statistic is a random variable: it varies from sample to sam
Introductory Statistics
By Douglas S. Shafer and Zhiyi Zhang
Douglas S. Shafer and Zhiyi Zhang 2012, published by Flat World Knowledge
6-1
Chapter 6
Sampling Distributions
Douglas S. Shafer and Zhiyi Zhang 2012, published by Flat World Knowledge
6-2
Lea
CHAP TER
Estimation
7
If we wish to estimate the mean of a population for which a census is impractical, say the average height of all
18-year-old men in the country, a reasonable strategy is to take a sample, compute its mean
x , and estimate the
unknow
Introductory Statistics
By Douglas S. Shafer and Zhiyi Zhang
Douglas S. Shafer and Zhiyi Zhang 2012, published by Flat World Knowledge
7-1
Chapter 7
Estimation
Douglas S. Shafer and Zhiyi Zhang 2012, published by Flat World Knowledge
7-2
Learning Object
BUS1150 Midterm Exam 1 Practical
Each question is worth 5 points 25 points total
Score will be combined with the score from the multiple choice exam
You may use notes, book, web site, but please do your own work on this!
Submit an Excel file through the l
CHAP TER
9
Two-Sample Problems
The previous two chapters treated the questions of estimating and making inferences about a parameter of a
single population. In this chapter we consider a comparison of parameters that belong to two dierent
populations. For
CHAP TER
10
Correlation and Regression
Our interest in this chapter is in situations in which we can associate to each element of a population or sample
two measurements x and y, particularly in the case that it is of interest to use the value of x to pre
CHAP TER
11
Chi-Square Tests and F-Tests
In previous chapters you saw how to test hypotheses concerning population means and population proportions.
chi-square distribution
The idea of testing hypotheses can be extended to many other situations that invol
Early College Programs in Ohio:
A Cost Efficient Way to Improve Degree Attainment
A Summary of Seven Years of Degree Attainment Outcomes
for Students in Ohios Public Colleges
Include a title page (not include in
the page/word count!). You can
include a pi
Introductory Statistics
By Douglas S. Shafer and Zhiyi Zhang
Douglas S. Shafer and Zhiyi Zhang
2012 published by Flat World Knowledge
5-1
Chapter 5
Continuous Random Variables
Douglas S. Shafer and Zhiyi Zhang
2012 published by Flat World Knowledge
5-2
Introductory Statistics
By Douglas S. Shafer and Zhiyi Zhang
Douglas S. Shafer and Zhiyi Zhang 2012, published by Flat World Knowledge
4-1
Chapter 4
Discrete Random Variables
Douglas S. Shafer and Zhiyi Zhang 2012, published by Flat World Knowledge
4-2
CHAP TER
3
Basic Concepts of Probability
Suppose a polling organization questions 1,200 voters in order to estimate the proportion of all voters who favor a
particular bond issue. We would expect the proportion of the 1,200 voters in the survey who are in
2.01
2.02
1.98
2.04
1.97
2.00
2.05
2.01
2.02
1.99
2.009 sample mean
0.025144 sample std dev
10 count (n)
0.007951 standard error of the mean
1.96 multiplier of the 95% confidence interval
0.015584 margin of error (moe)
2.024584 upper limit (high value)
1.
According to
http:/images.pcmac.org/SiSFiles/Schools/GA/GwinnettCounty/CentralGwinnett/Uploads/DocumentsSubCa
on_CH_05[1]_1.pdf
The heights of fully grown white oak trees are normally distributed with a mean of 90 feet and a standard d
Based on this, answ
Binomial distribution
# of successes
# of trials
P (probablility of success per trial)
Exactly (false) of at most (true)
Probability
Probability of at least 7
BINOM.DIST
6
10
0.25
0
0.0162220001
0.0563135147
0.9837779999
<-number of right answers
<-number
Note: there are two questions to complete! Use the worksheet tab to access the second question.
Compute the count, standard deviation, mean, median, and range for the sample home prices in Marion county
138,704
62,469
135,914
192,371
65,945
59,949
233,474