MGF1106 ~ Topics in Mathematics
Study Questions
*These multiple choice study questions are designed to help prepare students for the MGF1106 final exam.
Directions: Read each question carefully. Select the best answer to each question and
blacken the appr
INFORMATION TECHNOLOGY EDUCATION
INTERNET SERVICES TECHNOLOGY
SYLLABUS
Course Title and Number:
Instructor:
CGS1000.OM1
Kim Standifer
Year and Term:
Course Credits:
Office Location:
Spring 2917
3
ONLINE CANVAS
Office Phone:
Office Hours:
Class Location:
3
Marriage & Family SYG2430
Instructor: Caronne Rush |Term: Spring B Online|Email: Canvas|Contact Number: 352-294-5316
OVERVIEW
Marriage and Family fulfills the general education requirement for multicultural studies.
The primary purpose of this course is t
Marriage & Family SYG2430.CM1
Instructor: Caronne Rush |Term: Summer C Online|Email: Canvas|Contact Number: 352-294-5316
OVERVIEW
Marriage and Family fulfills the general education requirement for multicultural studies.
The primary purpose of this course
STAT 2023 - Holbrook
Linear Regression
Chapter 7
(Chapter 8, 3rd Edition)
7-1
STAT 2023 - Holbrook
Models
7-2
Models
STAT 2023 - Holbrook
1. Representation of Some Phenomenon
2. Mathematical Model Is a Mathematical
Expression of Some Phenomenon
3. Often D
STA 2023 - Holbrook
Intro Stats
Stats Starts Here
Chapter 1
1-1
STA 2023 - Holbrook
Intro Stats
Stats Starts Here
Chapter 1
1-2
STA 2023 - Holbrook
1.1 What Is Statistics
(Chapter 1, 3rd Edition)
1-3
What is Statistics?
STA 2023 - Holbrook
Let us sit on t
Formulas for Exam 3
q = 1 p
General form of a confidence interval: stat critical value SE ( stat )
Margin of error = critical value SE ( stat )
stat - parameter
General form of a test statistic: test statistic =
SE(
Formulas you might need.
Feel free to carefully tear this page from the others so you dont have to
flip back to it.
=
Linear Regression:
! = !
!
! =
!
= ! + !
Residual = actual - predicted
General Probability:
or = + ( and )
STA2023 (Henriksen) KE .
Exam 2 Name:
Raw Score Percentage Grade (out of 100)
Directions:
0 Round all answers to four decimal places, but dont do that until the very end of the work.
0 Take a deep breath. Dont Panic. Youll be fine.
- Skip questions you
STA2023 (Henriksen) _
Exam1 ' Name: l<El ,
Grade
Directions:
0 Take a deep breath. Youll be fine.
0 Skip questions youre not sure about, and come back later.
0 Look over the entire test to see what questions will be easy for you and do those first.
0 Do y
Lab 3
Test and CI for One Proportion
Sample
1
X
40
N
388
Sample p
0.103093
90% CI
(0.078739, 0.132081)
1) We are 90% confident that the proportion of fatal accidents in which the driver was a teenage
girl is between 0.0787 and 0.1321.
2) The assumptions m
Lab 4
1) Explanatory Amount spent on defense
Response National debt
What: U.S. national debt
Who: Amount spent on defense, Where: United States, When: 1997-2009, Why: To determine if
there is a relationship between the amount spent on defense and the nati
Lab 2
1) ~(10,0.8). There are a fixed number of trials, 10 students. There is a constant success rate, 0.80.
Also, there are two outcomes, either brown hair or not brown hair. The trials are independent
because they are selected randomly.
1) ( = 8) = 108
Lab 1
Section 1
2) Who States in the United States
What Unemployment rates
Where United States
When Ranging from 2008-2011
Why To report the unemployment rates by state
How Not given
3)
Histogram of 2011
9
8
Frequency
7
6
5
4
3
2
1
0
4
6
8
10
12
2011
4) D
STAT 2023 - Holbrook
Confidence Intervals for
Proportions
Chapter 16
(Chapter 19, 3rd Edition)
16 - 1
STAT 2023 - Holbrook
Categorical Data
16 - 2
Categorical Data
STAT 2023 - Holbrook
1. Categorical Random Variables Yield
Responses That Classify
e.g., Ge
Extra Credit #2
Practice Copy
1. Researchers, hoping to determine the percentage of U.S. college students who believe in ghosts, went to Santa Fe
College to conduct a survey. A random sample of 20 students was taken from each major field of study (ie 20
M
Probability Help for general probability questions
Lets separate probability problems into two types: Pick 1 problems and Pick more than 1problems
Pick 1 Problems:
You are picking 1 person/object from either an entire population or a sample/set
Examples:
Chapter 9
Understanding Randomness
(Very, Very Brief!)
Random an outcome is said to be random if we know the possible values it can have, but not which particular
value it takes on.
Ex.
Suppose we toss a fair die.
The possible outcomes are: 1, 2, 3, 4, 5,
STA2023 Homework and Worksheet Problem List for Test 1
Try to do as much of the homework as possible. Most of the problems are odd numbered, so you
can check your answers in the back of the book.
The problems listed under the Worksheet #1 Problems column,
STA2023 Homework and Worksheet Problem List for Test 2
Try to do as much of the homework as possible. Most of the problems are odd numbered, so you
can check your answers in the back of the book.
The problems listed under the Worksheet #2 Problems column,
STA2023
Lab 1
Name(s):
The following lab is to give you a chance to generate your own graphs and statistics using software.
Paste your graphs and statistics on this word document, use these graphs and statistics to answer a few questions, and then
submit
Ch.3 Displaying and Summarizing Quantitative Data
Sections 3.1-3.8
Displaying Quantitative Data : histograms, relative frequency histograms, stem-and-leaf displays, dotplots, boxplots
Ex1
Suppose we asked each student in this class their age.
19
21
22
22
Chapter 14 Random Variables and Probability Models sections 14.1 14.5
Defn
A Random variable is a variable in which its numeric value is based on the outcome of a random event.
Random variables are denoted with capital letters.
Ex.
Ex1
X = Random Variable
Chapter 7
Ex1
Linear Regression
Sections 7.1-7.3, 7.5-7.7
Data collected from a burrito eating contest included the number of burritos the contestants were able to
eat in 10 minutes as well as their ages
Contestant
Age
# burritos in 10 min
1
10
4
2
21
8
3
Ch.1 Stats Starts Here Sections 1.1-1.3
Data vs. Datum
Data (plural) are values along with their context. Think of data as any collection of numbers, characters, images,
or other items that provide information about something.
Datum(singular)
Statistics
Chapter 4 Understanding and Comparing Distributions
Sections 4.1-4.3
Comparing groups with Histograms
Ex1
The following values give the age and status (full-time or a part-time) for students in a Statistics class.
19F
21F
18P
17F
37F
23F
28F
28P
24P
31F
2
Chapter 5 The Standard Deviation as a Ruler and the Normal Model
Sections 5.1-5.5
The standard deviation tells us how the whole collection of values varies. It can be used to measure where a
particular value stands with respect to the mean.
Recall: The st