Statistics E100
Homework #4
Due: Tuesday, October 1st
Homework policies: You should give a brief and concise explanation for each question, or show the
calculation or the SPSS output as justification. Just writing down an answer (e.g., SD = 3) with no
jus
Running Head: BOTTLING COMPANY CASE STUDY
Bottling Company Case Study
Evelyn Diaz
Strayer University
MAT 300 Statistics
Professor Hilding
June 14, 2015
1
BOTTLING COMPANY CASE STUDY
2
Bottling Company Case Study
The measures of the central tendency are to
Stat E100
Unit 5: Sampling Distributions
Chapter 5 in IPS
Unit 5 Outline: Sampling Distributions
The Binomial Probability Distribution
Normal Approximation to the Binomial
p
X and its sampling distribution
n
Law of Large Numbers and the Central Limit
Statistics E100
Midterm I
Extra Practice Problem Solutions
1. (17 points) Below is the histogram and summary statistics from SPSS for the number of goals
scored in each game in the opening round of the World Cup (n = 48).
a. (5 points) Is this distributio
Stat E100
Unit 4: Probability
IPS Chapter 4
1
Unit 4 Outline: Probability
Definitions and Concepts in Probability
Rules of Probability
Independence
Conditional Probability
Introduction to Random Variables
Discrete vs. Continuous
Means (expected Val
Stat E100
Unit 7: Inference for a Proportion
IPS Ch. 8.1
Lecture Outline
Hypothesis Test for a Proportion
Confidence Interval for a Proportion
Sample Size Calculations for a Proportion
2
Inference for Proportions
Inference for population proportions (p
Statistics E100
Homework #2
Due: Tuesday, September 17th
Homework policies: You should give a brief and concise explanation for each question, or show the
calculation or the SPSS output as justification. Just writing down an answer (e.g., SD = 3) with no
STATISTICS E100 FALL 2013
PRACTICE MIDTERM I - A
PAGE 1 OF 9
Statistics E100 Fall 2013
Practice Midterm I - A
Name: _
Section TA/day and time: _
This is a closed-book exam, but you are allowed one page of reference notes (front and back is
OK). All your w
Unit 2: Relationships in Data
Chapter 2 in IPS
1
Unit 2 Outline
Two Quantitative Variables
Scatterplots
Correlation
Regression
r2
Residuals
Caution
Transformations
One Quantitative & One Categorical Variable
Side-by-side boxplots
Two Categorica
Statistics E100
Homework #1
Due: Tuesday, September 10th
Homework policies: You should give a brief and concise explanation for each question (showing the
calculation or the SPSS output is enough). Just writing down an answer (e.g., SD = 3) with no justif
STATISTICS E100 FALL 2013
PRACTICE MIDTERM I - A SOLUTIONS
PAGE 1 OF 5
Statistics E100 Fall 2013
Practice Midterm I - A Solutions
1. (16 points total) Below is the histogram for the number of medals won for the n = 203 countries
that participated in the 2
Unit 1: Univariate Data
Chapter 1 in IPS
Data and their distributions
Changing units of measurement (linear transformations)
Density curves and the Normal distribution
1
Methods for Describing Data
IPS Sections 1.1 1.3
Data and their distributions
Gr
Statistics E100
Midterm I
Extra Practice Problems
1. (17 points) Below is the histogram and summary statistics from SPSS for the number of goals
scored in each game in the opening round of the World Cup (n = 48).
a. (5 points) Is this distribution symmetr
STATISTICS E100 FALL 2013
PRACTICE MIDTERM I - B
PAGE 1 OF 10
Statistics E100 Fall 2013
Practice Midterm I - B
Name: _
Section TA/day and time: _
This is a closed-book exam, but you are allowed one page of reference notes (front and back is
OK). All your
Project 3
Kalie Acker
1. The population is all of the individuals waiting in line for the bank during the lunch hour
break. The parameter of interest is the total waiting time of these individuals.
2. Yes, this data does satisfy the assumptions for infere
Kalie Acker
Stats Project #1
1. The population of this study is all PGA Golfers. The sample in this study is all 186
randomly selected PGA Golfers. The variables in this study are quantitative
because we are measuring the average drive distance.
2.
3. I c
Stat Project #2
Kalie Acker
1.
The explanatory variable in this situation is number of miles (in thousands) and the response
variable is price (in pounds).
2.
Scatterplot for the variables Miles and Price -
3. The form of this scatterplot is roughly linea
Hom ework #1
Nam e_Tamara Guest_
INTRODUCTION TO STATISTICS
Data & Sam pling
1.
Quantitative data
a. are alw ays nonnumeric
b. may be either numeric or nonnumeric
c. are alw ays numeric
d. None of these alternatives is correct.
2.
A portion of the populat
Quiz 1, Course FAQs Stat 200 Sum mer 2016
Nam e_Tamara Guest_
IF NEEDED, EXPAND THE SPACE BETWEEN QUESTIONS TO PROVIDE ANSWERS THAT ARE EASY TO READ.
USE EITHER A DIFFERENT COLOR OR HIGHLIGHTING TO DIFFERENTIATE QUESTIONS AND ANSWERS.
IN OTHER WORDS, MAKE
Homework #1
Name_Tamara Guest_
INTRODUCTION TO STATISTICS
Data & Sampling
1.
Quantitative data
a. are always nonnumeric
b. may be either numeric or nonnumeric
c. are always numeric
d. None of these alternatives is correct.
2.
A portion of the population s
Quiz 1, Course FAQs Stat 200 Summer 2016
Name_Tamara Guest_
IF NEEDED, EXPAND THE SPACE BETWEEN QUESTIONS TO PROVIDE ANSWERS THAT ARE EASY TO READ.
USE EITHER A DIFFERENT COLOR OR HIGHLIGHTING TO DIFFERENTIATE QUESTIONS AND ANSWERS.
IN OTHER WORDS, MAKE T
Homework #1
Name_-
INTRODUCTION TO STATISTICS
Data & Sampling
1.
Quantitative data
a. are always nonnumeric
b. may be either numeric or nonnumeric
c. are always numeric
d. None of these alternatives is correct.
2.
A portion of the population selected to r
Quiz 1, Course FAQs Stat 200 Summer 2016
Name_Tamara Guest_
IF NEEDED, EXPAND THE SPACE BETWEEN QUESTIONS TO PROVIDE ANSWERS THAT ARE EASY TO READ.
USE EITHER A DIFFERENT COLOR OR HIGHLIGHTING TO DIFFERENTIATE QUESTIONS AND ANSWERS.
IN OTHER WORDS, MAKE T
Unit 3
Collecting Data
IPS 2.6, 3.1 - 3.3
1
Unit 3 Outline: Collecting Data
Association vs. Causation
Hierarchy of data sources
Design of experiments
Sampling
Types of Sampling Bias
Introduction to statistical inference
2
2
Association
versus
causati
STATISTICS E100 FALL 2013
PRACTICE MIDTERM I B SOLUTIONS
PAGE 1 OF 6
Statistics E100 Fall 2013
Practice Midterm I B Solutions
1. (20 points total) Daily high temperature in F (variable is called temp) and daily rainfall in
inches (rain) in Boston in June
Statistics E100
Homework #3
Due: Tuesday, September 24th
Homework policies: You should give a brief and concise explanation for each question, or show the
calculation or the SPSS output as justification. Just writing down an answer (e.g., SD = 3) with no
Physics 240 Fall
2013 Session
#9b
My Office Hours (1416 Randall Lab)
Tuesday 1pm-3pm
Thursday 1pm-3pm
Prof. Gerdes Office Hours (1416 Randall Lab)
This week: Wed. 3-4, Thu 3-5
Dr. Dave Winn
winn@umich.edu
Q24.10
You slide a slab of dielectric between the
Physics 240 Fall
2013 Session
#7a
My Office Hours (1416 Randall Lab)
Tuesday 1pm-3pm
Thursday 1pm-3pm
Prof. Gerdes Office Hours (1416 Randall Lab)
Tuesday 3pm-4pm
Thursday 3pm-4pm
Dr. Dave Winn
winn@umich.edu
Q23.10
Where an electric field line crosses an
Physics 240 Fall
2013 Session
#8b
My Office Hours (1416 Randall Lab)
Tuesday 1pm-3pm
Thursday 1pm-3pm
Prof. Gerdes Office Hours (1416 Randall Lab)
Tuesday 3pm-4pm
Thursday 3pm-4pm
Dr. Dave Winn
winn@umich.edu
Q24.4
a
A 12mF capacitor and a 6mF capacitor a