Print this page and bring your homework to class.
1. Using the Jack Bauer data on the kill sheet (next tab), create a random sample of 12 kills
(You will need to use the random number generator in the Data Analysis toolpak.)
Use a random seed of 171 and p
One-sample hyp BRING-to-CLASS problem
CEO's of medium and large companies do not all follow the same path to the
top of their company. They have a variety of educational backgrounds. In spite
of that variety, CEO's who are attorneys are somewhat unusual.
Binomial Distributions
For each problem, write the mathematical expression, P(x). You may want to paste your MegaStat output below
so you can see it as you work.
1. A backyard farmer (gardener) is trying to plan his tomato garden for the following spring.
Statistics Chapter 5
Correlation
5.1 Introduction to Correlation
Looking Ahead: What is This Chapter About?
o Correlation and regression are procedures for examining the relationship between two variables
Correlation and Regression Distinguished
o The s
Statistics Chapter 7
Probability
7.1 Introduction to Probability
Looking Ahead: What Is This Chapter About?
o Three views of probability:
The subjective-personalistic view
The classical, or logical, view
The empirical relative-frequency view
The Subj
Statistics Chapter 2
Frequency Distributions and Graphs
2.1 Introduction
Two kinds of procedures for depicting and summarizing data:
o Frequency distributions and graphs
2.2 Frequency Distributions
The first step in summarizing data is to construct a fr
Statistics Chapter 8
Random Variables and Probability Distributions
8.1 Introduction
Looking Ahead: What is This Chapter About?
o There are several important concepts that are used in inferential statistics:
Random variable
Probability distribution
Sa
Statistics Chapter 9
Normal Distribution and Sampling Distributions
9.1 Introduction
Looking Ahead: What Is This Chapter About?
o Sample distribution describes data that have been observed
o Probability and sampling distributions describe data that might
Statistics Chapter 3
Measures of Central Tendency
3.1 Introduction
The most important property of data is usually its central tendency, the score value on which a distribution centers
o This value is popularly called the average; it connotes what is typi
Statistics Chapter 4
Measures of Dispersion, Skewness, and Kurtosis
4.1 Introduction
Measures of dispersion represent the spread or scatter of scores around a central point or the distinguishability of
scores
Four measures of dispersion= range, semi-int
Statistics Chapter 6
Regression
6.1 Introduction to Regression
Looking Ahead: What Is This Chapter About?
o The higher the correlation between the independent and dependent variables, the more accurate the
prediction
o For r equal to +1 or -1, the depend
Statistics Chapter 10
Statistical Inference: One-Sample Hypothesis Test
10.1 Introduction to Hypothesis Testing
Looking Ahead: What Is This Chapter About?
o Statistical inference are the procedures for making rational decisions about populations that use
Statistics Chapter 1
Introduction to Statistics
1.1 Introduction
There are two broad categories of statistics:
o Descriptive statistics
o Inferential statistics
The word statistics has four distinct meanings:
o Data
o Functions of data, such as the mean
1) Identify the two methods of reproduction in living organisms
1) A-sexual Reproduction-Can reproduce without a male
2) Sexual Reproduction- Reproduce with a male
2) Identify the pros and cons for each type of reproduction listed above.
A Sexual- Pros ca
SPED 3304.01
Online Class Day 9/15/16
Welcome to the online day in SPED 3304
CONTINUOUS INFORMAL ASSESSMENT POSSIBILITIES
Options
There are lots of ways to find out what students know and can do. You
will hear the phrase often : Assessment should drive in
SPED 3305
Spring, 2016
COURSE SCHEDULE
Date
August 29
September 12
Chapter/Topic Covered
Introduction, class expectations, review
of special ed. /laws/eligibilities
Review Syllabus, Course Schedule, and
Course Evaluation
Chapter 1: Introduction to Assessm
Wendy Mejia
September 5, 2016
SPED 3301
People First Language
Jamie is a special needs child
Brandon is mentally retarded (use the new
term for this.Google Rosa's Law)
Maureen is a cripple
That boy is bound to a wheelchair
Ruth is a sped student
Megan is
Scoring RUBRICS for SPED 3304 Assignments:
GRADING CRITERIA FOR SPED 3304.02- Fall, 2016
In-Class SIMULATIONS of Instructional & Assessment Strategies (60 Points)
PRESENTER(s)_Method/Activity_
TextbookChapter/Topic_
CEC Knowledge and Skill Base for All En
Martella,ComprehensiveBehaviorManagement,SecondEdition
PART TWO: INDIVIDUALIZED SUPPORTS
Chapter 3: Pinpointing And Tracking A Behavior Problem
Answers to Chapter Discussion Questions
1.
Whatarethepotentialnegativeconsequencesofdevelopingindividualsupport
Exam 1 review
Chapter 1
Does each example below best illustrate reliance on tenacity, authority, reason, empiricism, or
systematic empiricism as a way of knowing?
1. Trevor wants to buy a new smartphone, so he reads phone reviews by experts on
cnet.com an
SPED3301LearningandInstructionforChildrenwithDisabilities
1
SPED 3301 LEARNING AND INSTRUCTION FOR CHILDREN WITH DISABILITIES
FALL 2016
ONLINE
SPED 3301 is a required course for Special Ed. EC-12and EC-6 Generalist Teacher Certifications
College of Educat
Behavior Change Project (70 points)
Due 6/24/16
Students will complete a behavior change project for a behavior that you are interested in
changing. This assignment will require
defining a target behavior to increase (the appropriate behavior),
defining
CHAPTER 13 – STATISTICAL INFERENCE: TWO SAMPLES
13.1 Introduction to Hypothesis Tests for 2 Samples
Examples at the beginning of the chapter involve a comparison of 2 population
distributions (example: are men able to withstand weightlessness better than
CHAPTER 8: RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS 8.2 Random Sampling Inferential statistics are used in determining characteristics of a population by observing a sample from the population Random sampling the method of drawing samples from
CHAPTER 7: PROBABILITY 7.1 Introduction 3 views of probability 1. Subjective-personalistic view 2. Classical or logical view 3. Empirical relative-frequency view Probability theory provides a set of tools for dealing with situations involving uncerta
CH. 5-Regression(124)-defined ind. var.,dep. var. free to vary, predict Y from X.Correlation(125)-have paired X and Y scores and want to see if variables are related and how strong the association is, no obvious IV, no preselected values of X or Y so
CHAPTER 10: STATISTICAL INFERENCE: ONE-SAMPLE HYPOTHESIS TEST 10.1: Introduction to Hypothesis Testing Using statistical inference Covering classical statistical inference which is from Ronald A. Fisher, Jerzy Neyman, and Egon Pearson 2 topics: 1. Nu
Whitney Williams PSY 2402 4 Exam 1 Chapter 1-Statistics(3)-comes from the Latin status, which is also the root for our modern term state or political unit; 1)data;2)functions of data, such as the mean and range;3)techniques for collecting, analyzin