20161009
Snapshot The Central Limit Theorem
CLick for Video
It is assumed that you are familiar with the following:
- The Normal Distribution
- You should be familiar with the Standard Normal Distribution Z and the conversion formula:
X
z
If not you need
CHAPTER 6
VOCABULARY/TERMS
Section 6.1
1. Normal distribution
2. Probability Density
Curve
3. Normal Curve
4. Standard Normal
Distribution
Section 6.2
5. Standardization
6. Z-score
Section 6.3
7.
8.
9.
10.
Sampling Distribution of
Standard Error of the M
Huy Pham
November 11, 2016
Math 203103
Part 4 Confidence Intervals & Hypothesis Testing
Confidence Interval for a Proportion
In a study of 20 randomly selected students from a Math 203 Statistics course, 6 of the students
were Very Nervous about taking th
CHAPTER 5
VOCABULARY/TERMS
Section 5.1
1.
2.
3.
4.
5.
Random variable
Discrete random variable
Continuous random variable
Probability distribution
Expected value
Section 5.2
10. Trial
11. Binomial distribution
QUESTIONS TO BE ABLE TO ANSWER BASED ON THE R
7.1 Confidence Intervals for the Mean When Is Known
- Recall what a parameter is.
- Point Estimate
- Unbiased
- Consistent
- Interval Estimate
- Confidence level
- Confidence Interval
20161031
Back at the old light bulb factory, suppose you were intereste
5.1 Probability Distributions
20160922v1
Key Concepts:
- Random Variable X
- Discrete vs Continuous.
- Probability Function(Distribution)
- Conditions for something to be a P.D.F.
- Mean and Standard Deviation for A Probability Distribution
- Expected Gai
These notes are based on the old book. So may be
explained slightly different than in class
8.1 Steps in Hypothesis TestingTraditional Method
Consider the following examples:
Example 1: A new medication claims to significantly reduce triglyceride levels.
2.1\2.2 Graphical Summaries for Qualitative data
Frequency Distributions and their graphs
201600817.0
Objectives:
Qualitative or Quantitative data
raw data
Grouping data into categories or classes
frequency
Creating a frequency or relative frequency distr
Counting Basics
20160909v01
Consider the following examples:
Ex-01:
How many different possible vacations could you take if you could choose 3 different cities
from a list of 20 cities?
Ex-02:
If you were the human resources director and you had two accou
Chapter 6 Continuous Distributions
20160629.01
6.1 The Normal Distribution
Concepts:
- Continuous probability distributions
- probability density function
- The Normal Distribution, and Standard Normal
- The z score associated with x
Up to this point we h
Chapter 3 Descriptive Statistics
Rev. 20160824.0
3.1 Measures of Center
Key Concepts:
Statistic vs Parameter
Outlier
Rounding
Central Measures:
- mean
- median
- mode
- midrange(optional)
- Grouped data(mean only)
- Weighted Mean
Recall the following:
- A
v20161011
Snapshot The Binomial Distribution
It is assumed that you are familiar with the following:
- Basic concept of a probability distribution
- Discrete probability distributions
- The meaning of nCk from counting
Video-01
A random variable X has a b
Snapshot - Chebyshev's Theorem & The Empirical Rule
20160612.0
Video Link
These two concepts can possibly help in solving problems regarding an interval and the percentage
of population data that will fall in the interval. For example, suppose you were in