1
Chapter 8: Hypothesis Testing
Chapter 8.2: Basics of Hypothesis Testing:
2
3
4
5
6
7
8
9
10
Lets do a problem or four!
11
12
13
14
Lets try some examples:
Example 1:
Example 2:
15
Example 3:
Example 4:
16
Example 5:
17
Example 6:
Example 7:
18
Example 8
Chapter 7: Estimates and Sample Sizes
Chapter 7.1: Overview:
Chapter 7.2: Estimating a Population Proportion
This is single point estimate is nice but this single point does not tell
us what is a good estimate for the population. But a confidence
interval
Chapter 5: Discrete Probability Distributions
Section 5.1-5.2:
So, now we weathered the probability chapter, lets use the knowledge from both
chapter 2-4 to find out the probabilities we expect to happen. Previously, in
chapters 2 and 3, we could find the
Chapter 6.6: Assessing Normality
At this juncture, we can use our calculators to plot these points so it
should look like this when we graph it:
But how do we do it? Just put you values in for L1 then follow the
directions below:
We can do all of this in
Math 10 Chapters 6 and 7 Exam #3
Name_
Take home exam. Show all work.
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Using the following uniform density curve, answer the question.
1) What is the pro
Math 10 Chapter 5 Review Problems
Name_
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Identify the given random variable as being discrete or continuous.
1) The number of oil spills occurring off th
Math 10 Chapter 4 Quiz #3 Review
Name_
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Lesson 4.2: Basic Concepts of Probability:
Find the indicated probability.
1) A die with 12 sides is rolled. What
TO GET READY FOR THE LONG HAND PORTION OF THE MIDTERM
1) Make sure you do ALL of the assigned Discussion Board Questions
2) You can generate any kind of graph using given data for the following types of graphs:
a.
Scatter plot
b. Pie chart
c.
Stem plot
d.
July 15th
Friday
MIDTERM NEWS MATH 10 ONLINE TICKET 60670
DISCUSSION BOARD ASSIGNMENTS BY THE TIME YOU COME IN FOR MIDTERM!
MIDTERM ON CH 1-5. Ch 5 Discussion Board Midterm Drill is due. Quiz #5 and HW #5 are due
questions are due. 5-7 pm at B304
YOUR DRI
MULTIPLE CHOICE
1) Geometric mean
Put it in your cheat sheet.
2) Combination and permutation
a) Comb (when order is not important) picking 2 marbles out of 5 different color marbles 5C2
b) Permu (when order is Important) picking 2 numbers out of 5 differe
Problems and Answers for Chapter 4
1.
2.
3.
4.
5.
What are the three characteristics of the normal distribution?
a.
Bell shaped, bimodal, symptotic
b.
Bell shaped, unimodal, symptotic
c.
Bell shaped, unimodal, asymptotic
d.
L-shaped, unimodal, asymptotic
Problems and Answers for Chapter 3
1. Calculating a standard deviation of a population
Suppose that I want to determine the standard deviation in the years of education of all the members of my
immediate family. My immediate family includes my mother, my
Problems and Answers for Chapter 1
1.
Suppose I want to know which type of cola American adults like better, Fizzy Fizz Cola or Snappy Syrup
Cola. Fizzy Fizz is a little more bubbly, Snappy Syrup is a little more sweet. So I set up a table in the
student
Chapter 7: Statistical Significance, Effect Size, and Confidence Intervals
I.
Overview
a. The key to all inferential statistics is the test for statistical significance
i. This tells us whether we should conclude that the results we found in our
sample(s)
Chapter 10: One-Way Analysis of Variance (ANOVA)
I.
Overview
a. One way ANOVA is used when you have one categorical independent variable and one
continuous (i.e., intervally scaled) dependent variables.
i. Usually, the independent variable has at least th
Problems and Answers for Chapter 2
1. Suppose that I have a sample of three 2-year-old children. I measure their heights
(in inches) and find that the children are 32, 33, and 39 inches tall.
A. What is the mean of this distribution?
Step 1: Sum (i.e., ad
Chapter 9: t Tests
I.
Overview
a. t tests are used to compare two means to determine whether they are significantly
different from each other.
i. Technically, a t test is any test of statistical significance involving the family of t
distributions.
1. Tes
Chapter 6: Standard Error
I.
Overview
a. Whenever a sample is selected from a population, there may be a difference between the
characteristics of the sample relative to the population.
i. This difference is caused by the process of sampling: When a rando
Chapter 8: Correlation
I.
Overview
a. Correlation coefficients allow researchers to examine the association between two
variables.
b. The Pearson correlation coefficient (r) is the primary focus of this chapter
i. Involves associations between two variabl
Chapter 13: Regression
I.
Overview
a. Regression is a very powerful statistical technique that allows researchers to examine
how two or more continuous (i.e., intervally scaled) variables are associated with each
other.
b. Regression is based on the stren
Chapter 3: Measures of Variability
I.
Measures of central tendency vs. Measures of variability
a. Measures of central tendency (e.g., mean, median, mode) provide useful, but limited
information. Information is insufficient in regards to the dispersion of
Chapter 1: Introduction to Social Science Research
I.
Populations and Samples
a. A population includes every member of a category, such as all adults in the United States
or every student in a school.
i. Populations do not have to be large, just inclusive
Chapter 5: Standardization and Z Scores
I.
Standardization
a. Standardizing scores is the process of converting each raw score in a distribution to a z
score (or standard deviation units)
i. Raw Score: the individual observed scores on measured variables
Chapter 2: Measures of Central Tendency- Mean, Median & Mode
I.
Data Collection
a. Scores are collected on one or more variables and must be arranged from lowest to
highest
b. Researchers are interested in measures of central tendency (mean, median, & mod
Chapter 4: Understanding the Normal Distribution
I.
A normal distribution is
a. Symmetrical, Unimodal, Asymptotic
b. Probability Statistics
i. Descriptive Statistics
ii. Inferential Statistics
II. Probability Discussion
a. Mathematical odds of something o
Problems and Answers for Chapter 5
1. Suppose that I select a random sample of 50 adult men from California and find that they drink an
average of 35 colas a year, with a standard deviation of 6. One of the men from my sample only drinks 30
colas a year.
Problems and Answers for Chapter 6
1 A. Suppose I selected a random sample of 400 Americans from the population. The population has a mean
of 100 with a standard deviation of 15. What is the probability that this sample will have a mean IQ of 102?
Step 1: