MATH 116
Prof. Houston
Module 10
Number Bases and Base Conversions
Objectives
By the end of this module, students will be able to:
Comprehend what is meant by a base b positional system.
Convert a number from base b to base 10.
Convert a number from base
MATH 116
Prof. Houston
Module 19
Prime and Composite Numbers
Objectives
By the end of this module, students will be able to:
Apply the definitions of prime and composite numbers.
Use the Sieve of Eratosthenes to find prime numbers.
Use Goldbachs Conjec
MATH 116
Prof. Houston
Module 28
Systems of Linear Equations Modern Methods
Objectives
By the end of this module, students will be able to:
Solve systems of linear equations in 2 variables using modern methods (review).
Solve systems of linear equations i
MATH 116
Prof. Houston
Module 2
Babylonian Cuneiform Numeration System
Objectives
By the end of this module students will be able to:
Given a number in the Babylonian Cuneiform numeration system, write the number
in the Hindu-Arabic numeration system.
Giv
MATH 116
Prof. Houston
Module 1
Hindu-Arabic Numeration System
Objectives
By the end of this module students will be able to:
Explain what is meant by a numeration system.
Describe the four types of numeration systems that will be covered in this course
MATH 116
Prof. Houston
Module 33
Square Roots Interpolation Method
Objectives
By the end of this module, students will be able to:
Find square roots by the interpolation method.
Assignments
Read Module 33
Complete the Problem Set for Module 33
MATH 116 Mo
MATH 116
Prof. Houston
Module 25
Linear Equations False Position
Objectives
By the end of this module, students will be able to:
Solve linear equations using the False Position method.
Assignments
Read Module 25
Complete the Problem Set for Module 25
Intr
MATH 116
Prof. Houston
Module 31
Diophantine Equations
Objectives
By the end of this module, students will be able to:
Understand and solve Diophantine equations.
Assignments
Read Module 31
Complete the Problem Set for Module 31.
Introduction
Diophantine
MATH 116
Prof. Houston
Module 24
Linear Equations Modern Methods
Objectives
By the end of this module, students will be able to:
Solve linear equations in one variable using modern methods (review).
Assignments
Read Module 24
Read MTTA Sketch 8, "The Coss
Explanation of Example (2) on P. 7 of Module 29
So we are starting with the following system of equations:
4 x 3y 22
4 x 5 y 6
Step 1: Write the augmented matrix of the system of linear equations.
As shown by example in the module, the augmented matrix fo
College Algebra and Trigonometry
a.k.a. Precalculus
by
Carl Stitz, Ph.D.
Lakeland Community College
Jeff Zeager, Ph.D.
Lorain County Community College
August 30, 2010
ii
Acknowledgements
The authors are indebted to the many people who support this project
Westchester Community College
Math 135 College Algebra with Trigonometry - 81922
Fall 2016 TTh 11:00am-12:50pm Tech 107
Instructor: Matthew Rogala
Office Hours: M 12-1pm, 5-6pm, T 4-5pm,
Office: Tech 145A (Tel: 914-606-6524)
W 5-6pm, Th 10-11am
Email: Mat
experience suggests that many students misunderstand these terms. Teaching tip:
Wikipedia (www.wikipedia.org) has a good summary and some links for more
information on Kristen Gilbert.
Homework Activities
5
1
Activity 1-1
In this topic, the homework activ
SECTION 2.2
STATISTICAL INFERENCE
FROM SAMPLE TO
POPULATION
BIG IDEA OF THE DAY
Chapter 1 sampling from a process
Observing
a small number of attempts from an
infinite number of possible attempts.
Buzz and Doris do the experiment forever.
Chapter 2 samp
Investigation Chapter 1: Tire Story Falls Flat
PART I
A legendary story on college campuses concerns two students who miss a chemistry exam
because of excessive partying but blame their absence on a flat tire. The professor allows them
to take a make-up e
Investigation Chapter 1: Tire Story Falls Flat
PART I
A legendary story on college campuses concerns two students who miss a chemistry exam
because of excessive partying but blame their absence on a flat tire. The professor allows them
to take a make-up e
Chapter 2 Modeling with Linear Functions
Section 2.1 Using Lines to Model Data
Scattergram: a graph of plotted ordered pairs. It should have scaling on both
axes and labels indicating the variable names and scale units.
We will use qualitative graphs to d
NURS 371
SPSS ASSIGNMENT RUBRIC
NAME:
Question
Number
Q1-1
Evaluative Standard
PO
SO
Identified a clinical research problem
based on evidence and formulate a
question
1
III
1
2
VII
1
Possibl
e Points
10
Q 1- 2
Stated the null and alternative research
hypo
1
Red Light, Green Light, One, Two
An AP Statistics Final Project
Picture this: You are driving and it is a beautiful day, the windows are down and there is
no cop in sight. All of a sudden, you come to an intersection, and the light flashes from green to
Unit 1 Lessons and Assignments
These lessons and assignments give you details of everything you should do for the unit.
Make sure you read this for each of the 15 units so that you dont miss anything, or study
material that you dont need. The summary of w
Descriptive Measures for Populations
The measures we have used so far to describe data sets are (in the order that we learned
them):
Size, mean, median, mode, range, variance, standard deviation, first quartile, third
quartile, minimum, maximum.
Since a d
Taking Advantage of Your Calculator
Do normal people really calculate measures of center and variation in their regular lives?
Yes. Anyone doing any kind of research involving data, such as someone who is getting a
masters degree in psychology, education,
Measures of Center
We continue the process of describing a set of data (sample or population) by measuring
some of its properties. The word center refers to the idea that we sometimes look for a
number which is somehow in the middle of the data and repres
Statistics: Basic Definitions
What is statistics? We can think of statistics generally as the analysis of information.
When a business organization, government agency, economist, medical researcher or
other scientist collects information in order to make
Measures of Variation
Take a look at the two distributions below. For now, lets consider them to be samples
rather than populations:
x
8
9
10
13
y
2
5
11
22
There are only four values in each distribution. There are no frequencies, which means
that each v
Percentiles, Quartiles, and the Five-Number Summary
Percentiles: One way to measure how an individual value in a data set compares to the
rest of the set is to ask what percent of the individual values are less than the given value.
If 90 percent of the v
z-scores
All of the measures up to this point have described an entire data set (population or
sample). That is, the mean is the mean of the whole set; the mode is the mode of the
whole set (even if there are two modes); and the same for standard deviatio
Avon High School
AP Calculus BC
Name _
HW 9.2 Series and Convergence
Period _
Score _ / 10
In the following exercises, find the sum of the convergent series. Be sure to properly justify your conclusion.
1.)
1
3
n 0
3.)
n 0
5.)
2.)
n
1
2
4
2 5
n 0
Avon High School
AP Calculus BC
Name _
HW 9.1 Sequences
Period _
Write the first 5 terms of the sequence.
1.)
3.)
2n
an
n2
n
1 1
an (1) 2 2
n n
2.)
an cos n
4.)
an
2n !
n 1 !
Write an expression for the nth term of the sequence.
5.)
7.)
1, 5, 9, 13, K