1.
2.3 slope
when finding the slope, count down then if you move the the left its
positive, if you move to the right its negative.
2.
2.3 fractions
put in every number that is not in a fraction over one in the calculator!
when you get the mixed number, mu
SECTION 8.3: CONFIDENCE INTERVALS FOR A
POPULATION PROPORTION
OBJECTIVES
1. Construct a confidence interval for a population proportion
2. Find the sample size necessary to obtain a confidence interval of a given width
3. Describe a method for constructin
SECTION 8.1: CONFIDENCE INTERVALS FOR A
POPULATION MEAN, KNOWN
OBJECTIVES
1. Construct and interpret confidence intervals for a population mean when the population
standard deviation is known
2. Find critical values for confidence intervals
3. Describe th
SECTION 8.2: CONFIDENCE INTERVALS FOR A
POPULATION MEAN, UNKNOWN
OBJECTIVES
1. Describe the properties of the Students t
distribution
2. Construct confidence intervals for a population mean when the population standard
deviation is unknown
OBJECTIVE 1
DES
SECTION 11.1: HYPOTHESIS TESTS FOR THE DIFFERENCE
BETWEEN TWO MEANS: INDEPENDENT SAMPLES
OBJECTIVES
1. Perform a hypothesis test for the difference between two means using the P-value
method
2. Perform a hypothesis test for the difference between two mean
SECTION 11.2: HYPOTHESIS TESTS FOR THE DIFFERENCE
BETWEEN TWO PROPORTIONS
OBJECTIVES
1. Perform a hypothesis test for the difference between two proportions using the P-value
method
2. Perform a hypothesis test for the difference between two proportions u
SECTION 2.3: MORE GRAPHS FOR QUANTITATIVE DATA
OBJECTIVES
1. Construct stem-and-leaf plots
2. Construct dotplots
3. Construct time-series plots
OBJECTIVE 1
CONSTRUCT STEM-AND-LEAF PLOTS
Stem-and-leaf plots are a simple way to display small data sets. In a
SECTION 3.1: MEASURES OF CENTER
OBJECTIVES
1.
2.
3.
4.
5.
Compute the mean of a data set
Compute the median of a data set
Compare the properties of the mean and median
Find the mode of a data set
Approximate the mean with grouped data
OBJECTIVE 1
COMPUTE
SECTION 1.1: SAMPLING
OBJECTIVES
1. Construct a simple random sample
2. Determine when samples of convenience are acceptable
3. Describe stratified sampling, cluster sampling, systematic sampling, and voluntary
response sampling
4. Distinguish between sta
SECTION 2.2: FREQUENCY DISTRIBUTIONS
AND THEIR GRAPHS
OBJECTIVES
1.
2.
3.
4.
Construct frequency distributions for quantitative data
Construct histograms
Determine the shape of a distribution from a histogram
Construct frequency polygons and ogives
OBJECT
SECTION 1.2: TYPES OF DATA
OBJECTIVES
1.
2.
3.
4.
Understand the structure of a typical data set
Distinguish between qualitative and quantitative variables
Distinguish between ordinal and nominal variables
Distinguish between discrete and continuous varia
SECTION 4.1: CORRELATION
OBJECTIVES
1.
2.
3.
4.
Construct scatterplots for bivariate data
Compute the correlation coefficient
Interpret the correlation coefficient
Understand that correlation is not the same as causation
OBJECTIVE 1
CONSTRUCT SCATTERPLOTS
SECTION 5.1: BASIC CONCEPTS IN PROBABILITY
OBJECTIVES
1.
2.
3.
4.
Construct sample spaces
Compute and interpret probabilities
Approximate probabilities using the Empirical Method
Approximate probabilities by using simulation
OBJECTIVE 1
CONSTRUCT SAMPLE S
SECTION 6.1: RANDOM VARIABLES
OBJECTIVES
1.
2.
3.
4.
5.
6.
Distinguish between discrete and continuous random variables
Determine a probability distribution for a discrete random variable
Describe the connection between probability distributions and popul
Section 2.3 Other Set Operations and Their Properties
VENN DIAGRAMS
A Venn Diagram is a picture using circles to represent sets inside a rectangle
representing the universal set U.
For the following examples let
U = cfw_1, 2, 3, 4, 5, 6, 7, 8, 9, A = cfw_
Section 1.1 Mathematics and Problem Solving
Polyas Four-Step Problem-Solving Process
1. Understand the problem
2. Devise a plan
3. Carry out the plan
4. Look back
Stategies
1. Look for a pattern
2. Examine a related problem
3. Examine a simpler case
4. Ma
Section 1.2 Explorations with Patterns
Describe any patterns seen in the following:
1+(0)9 = 1
2+(1)9 = 11
3+(12)9=111
4+(123)9=1111
5+(1234)9=11111
What is the next equation?
Sequences:
A sequence is an ordered arrangement of numbers, figures or objects.
Section 2.2 Describing Sets
A set is a collection of objects, or elements.
A = cfw_1, 2, 3
Order makes no difference and each element is used only once. The symbol
means is an element of.
1 A but 0 A
There are 2 sets of numbers well be using for the time
MATH 177
SKILLS TEST
STUDY PACKET
MATH 177 SKILLS TEST
The following skills are tests on the Math 177 Skills Test:
Addition, subtraction, Multiplication, and Division
Integers
Fractions
Decimals
Mixed Numbers
Ordering and Comparison
Integers
Decimals
Frac
Statistics 241 Section 1.4
bias: the degree to which a procedure systematically overestimates of
underestimates a population value
biased: a study conducted by a procedure that tends to overestimate or
underestimate a population value
unbiased: a study co
Statistics 241 Section 3.1
mean: the average
mode: most often
range: subtract the smallest from the largest
median: the middle number when lined up from the greatest to the least
Statistics 241 Section 1.1
statistics: the study of procedures for collecting, describing, and drawing
conclusions from information
population: the entire collection of individuals about which information
is sought
sample: a subset of a population, contai
Statistics 241 Section 1.3
experimental units: the individuals that are studied. These can be
people, plants, or things.
subjects: people being used as experimental units
outcome/response: what is measured on each experimental unit
treatments: procedures
Statistics 241 Section 2.1
frequency: of a category is the number of times it occurs in the data set
frequency distribution: a table that presents the frequency for each
category
relative frequency: of a category is the frequency of the category divided
b
Statistics 241 Section 1.2
quantitative: variables that tells how much or how many of something
there is
o discrete: quantitative variables whose possible values can be
listed. This list may be infinite for example, the list of all whole
numbers (1,2,3,4,
Southeastern Louisiana University
Department of Mathematics
Math 201-01
Instructor: Dr. L. Kabza
Project on Saturn:
Volumes of oblate ellipsoids.
Cerys McCarthy
03-25-13
History of Saturn
QuickTimeanda
decompressor
areneededtoseethispicture.
Saturn is one
Hunting Injuries
Those who do not understand the sport of hunting look upon it in an unsafe way.
The injuries sustained in hunting can vary from poison ivy, to a twisted ankle, or even a
fatal gunshot wound. Those who are not properly educated to hunt are
Hunting Injuries
Those who do not understand the sport of hunting look upon it in an unsafe way.
The injuries sustained in hunting can vary from poison ivy, to a twisted ankle, or even a
fatal gunshot wound. Those who are not properly educated to hunt are