Chapter 1 Introduction to Statistics
1-2 Statistical Thinking 1. A voluntary response sample, also called a self-selected selected, is one in which the subjects themselves decide whether or not to participate in the study. 2. A voluntary response sample i
Chapter 10 Correlation and Regression
10-2 Correlation 1. a. r = the correlation in the sample. In this context, r is the linear correlation coefficient computed using the chosen paired (points in Super Bowl, number of new cars sold) values for the random
Joseph Brackin
20141_INTRO STATISTICS_2180
ASSIGNMENT #2, DUE: TUES: 8/29
Part II
1. Fill in the blanks to make a true statement:
Quantitative data can be either discrete or continuous.
2. Fill in the blank with either quantitative or qualitative:
Ratio a
Chapter 9 Inferences from Two Samples
9-2 Inferences About Two Proportions 1. There are two requirements for using the methods of this section, and each of them is violated. (1) The samples should be two sample random samples that are independent. These s
Joseph Brackin
20141_INTRO STATISTICS_2180
ASSIGNMENT #1, DUE: TUES: 8/27
Part II
1. Explain the concept of population and sample?
Population is each and every single unit you are studying. A sample is simply a smaller amount
that you sample to study.
2.
Chapter 4 Probability
4-2 Basic Concepts of Probability 1. To say that the probability of being injured while using recreation equipment in 1/500 means that approximately one injury occurs for every 500 times that recreation equipment is used. Note that t
TERM PROJECT:
Objective of this project: For students to demonstrate understanding of the concepts learned
by using real life data. My feeling is if you own the data the concepts will take on some real
meaning for you and you will understand how to apply
Joseph Brackin
20141_INTRO STATISTICS_2180
TERM PROJECT ASSIGNMENTS
1) The First Day Survey is due on Thurs. 8/22. I will then organize the data and upload it, please print out
the table
and place it in your Term Project folder.
2) Using the data in the t
Joseph Brackin
20141_INTRO STATISTICS_2180
Assignment #5, Due: Tues. 9/10
II. Answer in full sentences:
1. How are graphs sometimes made to deceive? If the graph does not start at 0 then it can
skew the results to appear to have drastic changes when in ac
Introductory Statistics - Assignments 1- 5 - Fall 2013
Day &
Date
Material
Covered in Class
Tues. 8/20
1.1
Thurs. 8/22
1.2 - 1.3
Tues. 8/27
Thurs. 8/29
2.3 2.4
Thurs. 9/5
-Reread your notes from class
Get all supplies and get organized, reviewing all disk
Joseph Brackin
20141_INTRO STATISTICS_2180
Quiz #2
1. Since both groups are not the same size, pure counts would not make sense to
compare. However, with percentages you can easily compare both groups together.
2. Using the table:
a. 39.5, 59.5 Class Boun
QMB 3200
NAMES _
_
Project
Summer 2014
Directions:
1.
Choose one of the data sets assigned in Blackboard and enter the data
into a Statistix data file.
2.
Use the Statistix program to create the printouts requested in this exam.
3.
Attach the requested pr
Joseph Brackin
20141_INTRO STATISTICS_2180
Assignment #3, Due: Tues.9/3:
II.
1. What level of measurement is frequency? Explain.
The number of original values that fall into each class.
2. When making our own frequency table how do we know how many places
Joseph Brackin
20141_INTRO STATISTICS_2180
Assignment #4, Due: Thurs. 9/5
II. Answer in full sentences:
1. Classify the histograms below as skewed to the left, skewed to the right or approximately
symmetric. Explain the reasons for your answers.
A. Skewed
Joseph Brackin
20141_INTRO STATISTICS_2180
Quiz #1
1. Double Blind Experiment An experiment where the subjects are unaware and also the
test giver is unaware who out of the sample is receiving what. Placebo Effect When no
treatment is given but the subjec
Stats Data Generated from our First Day Survey:
Eye
Col
or
Stude
nt
Gend
er
4
Random
Digits
1
F
1009
G
2
M
7928
H
3
F
8593
B
4
F
5081
B
5
F
7284
B
6
M
1993
G
7
F
1083
G
8
M
1954
H
9
F
0901
b
10
F
7143
B
11
F
7307
B
12
F
4285
B
13
F
1522
b
14
F
7408
G
15
F
Joseph Brackin
20141_INTRO STATISTICS_2180
Stats Term Project Assignment #3 Due: Tues. Sept. 10
When I refer to the chart I am referrring to the data generated from the first day survey.
1. Classify each variable below as either quantitative or qualitativ
Chapter 2 Summarizing and Graphing Data
2-2 Frequency Distributions 1. No. The first class frequency, for example, tells us only that there were 18 pennies with weights in the 2.40-2.49 grams class, but there is no way to tell the exact values of those 18
Chapter 5 Discrete Probability Distributions
5-2 Random Variables 1. As defined in the text, a random variable is a variable that takes on a single numerical value, determined by chance, for each outcome of a procedure. In this exercise, the random variab
Chapter 6 Normal Probability Distributions
6-2 The Standard Normal Distribution 1. The word normal as used when referring to a normal distribution does carry with it some of the meaning the word has in ordinary language. Normal distributions occur in natu
Chapter 7 Estimates and Sample Sizes
7-2 Estimating a Population Proportion 1. The confidence level was not stated. The most common level of confidence is 95%, and sometimes that level is carelessly assumed without actually being stated. 2. The margin of
Chapter 8 Hypothesis Testing
8-2 Basics of Hypothesis Testing 1. Given the large sample size and the fact that 20% is so much less than 50%, it is apparent that any confidence interval for the proportion of bosses that are good communicators would fall en
Chapter 11 Goodness-of-Fit and Contingency Tables
11-2 Goodness-of-Fit 1. When digits are randomly generated, they should form a uniform distribution i.e., a distribution in which each of the digits is equally likely. The test for goodness-of-fit is a tes
Chapter 12 Analysis of Variance
12-2 One-Way ANOVA 1. a. One-way analysis of variance is appropriate for these data because they represent three or more populations categorized by a single characteristic that distinguishes the populations from each other.
Chapter 13 Nonparametric Statistics
13-2 Sign Test 1. The sign test is nonparametric or distribution-free because it does not require the data to come from a particular distribution defined in terms of certain parameters. 2. The procedure in this section
Chapter 14 Statistical Process Control
14-2 Control Charts for Variation and Mean 1. No. Control charts are constructed entirely from the observed data, and they are totally independent of any product specifications. The upper and lower control limits of
TABLE OF CONTENTS
Chapter 1: Introduction to Statistics.1 Chapter 2: Summarizing and Graphing Data. .17 Chapter 3: Statistics for Describing, Exploring, and Comparing Data .44 Chapter 4: Probability. .72 Chapter 5: Discrete Probability Distributions. 107
WHERE vs. IF Statements:
Knowing the Difference in How and When to Apply
data vector, program data vector
The DATA step uses the IF statement to keep the FIRST.NAME record, because these temporary variables exist only
in the program data vector. Variables
Chapter 3 Statistics for Describing, Exploring, and Comparing Data
3-2 Measures of Center 1. The mean, median, mode, and midrange are measures of center in the sense that they each attempt to determine (by various criteria i.e., by using different approac
Instructors Appendix Technology Project From Data to Decision
NOTE: This INSTRUCTORS APPENDIX offers suggestions and insights into the TECHNOLOGY PROJECT and FROM DATA TO DECISION sections at the end of each chapter. It has been added
in response to reque