Duquesne University
AJ Palumbo School of Business
QSIS 284
Assignment 2
Due: On Tuesday, April 11th
Different states in the United States have different levels of infrastructure problems. The
attached sheet provides data on one measure of this: the percen
Each sheet contains a yellow cell for each answer.
You may use blank areas in the spreadsheet for intermediate steps.
Put your final answer in the yellow cell. For numeric answers, do not "hard code" your ans
by typing the answer itself. Instead, enter th
Each sheet contains a yellow cell for each answer.
You may use blank areas in the spreadsheet for intermediate steps.
Put your final answer in the yellow cell. For numeric answers, do not "hard code" your ans
by typing the answer itself. Instead, enter th
Each sheet contains a yellow cell for each answer.
You may use blank areas in the spreadsheet for intermediate steps.
Put your final answer in the yellow cell. For numeric answers, do not "hard code" your ans
by typing the answer itself. Instead, enter th
Each sheet contains a yellow cell for each answer.
You may use blank areas in the spreadsheet for intermediate steps.
Put your final answer in the yellow cell. For numeric answers, do not "hard code" your ans
by typing the answer itself. Instead, enter th
Each sheet contains a yellow cell for each answer.
You may use blank areas in the spreadsheet for intermediate steps.
Put your final answer in the yellow cell. For numeric answers, do no
Instead, enter the formula that yields the answer.
What is
What is
3
Each sheet contains a yellow cell for each answer.
You may use blank areas in the spreadsheet for intermediate steps.
Put your final answer in the yellow cell. For numeric answers, do no
Instead, enter the formula that yields the answer.
What is
What is
3
Time
11.3
6.8
10.9
8.5
6.2
8.2
9.4
8
9.6
8.1
Miles
500
250
500
475
200
400
375
325
475
450
Deliveries
4
3
4
2
2
2
3
4
3
2
Time
Using these data, predict how long a truck will
be gone that will travel 200 miles and make 5 deliveries.
Put your final answer
Each sheet contains a yellow cell for each answer.
You may use blank areas in the spreadsheet for intermediate steps.
Put your final answer in the yellow cell. For numeric answers, do not "hard code" your ans
by typing the answer itself. Instead, enter th
Each sheet contains a yellow cell for each answer.
You may use blank areas in the spreadsheet for intermediate steps.
Put your final answer in the yellow cell. For numeric answers, do not "hard code" your ans
by typing the answer itself. Instead, enter th
Each sheet contains a yellow cell for each answer.
You may use blank areas in the spreadsheet for intermediate steps.
Put your final answer in the yellow cell. For numeric answers, do no
Enter the formula that yields the answer rather than typing the num
Each sheet contains a yellow cell for each answer.
You may use blank areas in the spreadsheet for intermediate steps.
Put your final answer in the yellow cell. For numeric answers, do no
Instead, enter the formula that yields the answer.
For example:
What
Each sheet contains a yellow cell for each answer.
You may use blank areas in the spreadsheet for intermediate steps.
Put your final answer in the yellow cell. For numeric answers, do not "hard code" your ans
by typing the answer itself. Instead, enter th
Each sheet contains a yellow cell for each answer.
You may use blank areas in the spreadsheet for intermediate steps.
Put your final answer in the yellow cell. For numeric answers, do not "
Instead, enter the formula that yields the answer.
For example:
W
Each sheet contains a yellow cell for each answer.
You may use blank areas in the spreadsheet for intermediate steps.
Put your final answer in the yellow cell. For numeric answers, do no
Instead, enter the formula that yields the answer.
What is
What is
3
Chapter 12 More About Regression
12.1 Inference for Linear Regression
Population Regression Line (true regression line) the least-squares regression line for the
population of data.
Sample Regression Line (estimated regression line) the least-squares regr
Chapter 9 Testing a Claim
Confidence Intervals and Significance Tests are two of the most common types of statistical inference.
-Confidence Intervals are used to estimate a population parameter.
-Significance Tests assess the evidence provided by data ab
Chapter 11 Inference for Distributions of Categorical Data
In this chapter, we will be examining the distribution of a single categorical variable in a population.
The chi-square goodness-of-fit test allows us to determine whether a hypothesized distribut
Chapter 10 - Comparing Two Populations or Groups
Comparing 2 Proportions
The difference between two population proportions is denoted p1 - p2
The difference between two sample proportions is denoted:
^p1 -
^p2 with sample sizes
n1
and
n2
n p 1 , n ( 1p 1)
Chapter 7 Sampling Distributions
Parameter a number that describes some characteristic of the population. It is usually not
known because the entire population is unable to be examined.
Statistic a number that describes some characteristic of a sample. Th
Ch 6
Random Variablea variable that takes numerical values that describe the outcomes of some chance process.
Probability Distributionthe probability distribution of a random variable gives its possible values and their
probabilities.
Discrete Random Vari
Ch 8
Point Estimatora statistic that provides an estimate of a population parameter.
Point Estimate The value of that statistic from a sample. It is the best guess at the value of anunknown parameter.
The sampling distribution of xtells us how close to th
Chapter 5 Probability- Introduction + 5.1 Randomness, Probability, and Simulation
Chance behavior is unpredictable in the short run but has a regular and predictable pattern in the long run.
Law of Large Numbers if we observe more and more repetitions of
Chapter4 Designing Studies
Populationthe entire group of individuals about which we want information
Sample part of the population from which we actually collect information. We use information from a sample to
draw conclusions about the entire population
Chapter3 DescribingRelationships
Response variable (y-variable/ dependent) measures an outcome of a study.
Explanatory variable(x-variable/ independent) may help explain/influence/predict changes in a
response variable.
Scatterplotshows the relationship b
AP Statistics
Text: Yates, Daniel, David Moore and Darren Starnes, The Practice of Statistics 2rd ed.,
W.H. Freeman and Company, New York aligned with College Board Indicators
AP Questions are available from the College Board website
http:/apcentral.colle
Analysis of Variance (ANOVA) - Solutions
One-way analysis of variance is a method for comparing several population means, when the data are from independent samples. It can be thought of as a tool for examining the relationship between a quantitative resp
Quiz 3.1A
AP Statistics
Name:
The table below shows the Mens 800 Meter Run World Records:
Year
1905
1915
1925
1935
1945
1955
1965
1975
1985
1995
Record
113.4
111.9
111.9
109.7
106.6
105.7
104.3
104.1
101.73*
101.73
* Sebastian Coe, GB, 1981
1. Is there an