ch05.1.1-The probability distribution for a discrete random variable在线视频

Business Statistics课程列表：

ch01-Introduction and Data Collection

-ch01.1-Introduction

--ch01.1-Introduction

--Exercise-chap1.1

-ch01.2-Types of data

--ch01.2-Types of data

--Exercise-chap01.2

ch02-Presenting Data in Tables and Charts

-ch02.1-Organizing Numerical Data

--ch02.1.1-Organizing numerical variables-1

--ch02.1.2-Organizing numerical variables-2

--Exercise-ch02.1

-ch02.2-Organizing Categorical Data

--ch02.2-Organizing categorical variables

--Exercise-ch02.2

ch03-Numerical Descriptive Measures

-ch03.1-Measures of central tendency

--ch03.1.1-Measures of central tendency

--ch03.1.2-Percentiles and Z score

--Exercise-ch03.1

-ch03.2-Measures of variation

--ch03.2-Measures of variation

--Exercise-ch03.2

-ch03.3-Z score and emperical rule

--ch03.3-Emperical rule and Z score

--Exercise-ch03.3

-ch03.4-Shape

--ch03.4-Shape

--Exercise-ch03.4

ch04-Basic Probability

-ch04.1-Basic Probability Concepts

--Exercise ch04-01

--ch04.1.1-Basic probability concepts

--ch04.1.2-Basic probability concepts-2

-ch04.2-Conditional Probability

--Exercise-ch04-02

--ch04.2-Conditional Probability

-ch04.3-Bayes' Theorem

--Exercise ch04.3

--ch04.3-Bayes' Theorem

ch05-Discrete Probability Distributions

-ch05.1-The probability Distribution for a discrete random variable

--ch05.1.1-The probability distribution for a discrete random variable

--ch05.1.2-Expected Value and Variance

--Exercise ch05.1

-ch05.2-Binomial Distribution

--ch05.2-Binomial distribution

--Exercise ch05.2

-ch05.3-Hypergeometric Distribution and Poisson Distribution

--ch05.3.1-Hypergeometric distribution

--ch05.3.2-Poisson Distribution

--Exercise ch05.3

ch06-The Normal Distribution

-ch06.1-Standard Normal Distribution

--Exercise ch06.1

--ch06.1.1-Standard Normal Distribution

--ch06.1.2-How to Use the Normal Distribution Table

-ch06.2-Finding probability in a normal distribution

--Exercise ch06.2

--ch06.2.1-Find probability in a normal distribution

--ch06.2.2-Normal Distribution-an Example

-ch06.3-Assessing Normality

--Exercise ch06.3

--ch06.3-Assessing Normality

ch07-Sampling and Sampling Distributions

-ch07.1-Types of sampling methods

--ch07.1.1-Types of sampling methods-1

--ch07.1.2-Types of sampling methods-2

--Exercise ch07.01

-ch07.2-Sampling distribution of the mean

--ch07.2.1-Sampling distribution of the mean

--ch07.2.2-Sampling distribution of the mean-an Example

--Exercise-ch07.2

-ch07.3-Sampling distribution of the proportion

--ch07.3.1-Sampling distribution of the proportion

--ch07.3.2-Sampling distribution of the proportion-Example

--Exercise ch07.3

ch08-Confidence Interval Estimation

-ch08.1-Confidence interval estimation for the mean-sigma known

--ch08.1-Condidence interval estimation for the mean-sigma known

--Exercise ch08.1

-ch08.2-Confidence interval estimation for the mean-sigma unknown

--ch08.2.1-Confidence interval for the mean-sigma unknown

--ch08.2.2-Confidence interval estimatin for the mean-sigma unknown-an example

--Exercise ch08.2

-ch08.3-Confidence interval estimation for the proportion

--ch08.3-Confidence interval estimation for proportion

--Exercise ch08.3

-ch08.4-Determing sample size

--ch08.4.1-Sample size determination for the mean

--ch08.4.2-Determing sample size for the proportion

--Exercise ch08.4

ch09-Fundamentals of Hypothesis Testing: One Sample Tests

-ch09.1-Fundamentals of Hypothesis Testing Methodology

--ch09.1.1-Introduction to Hypothesis testing

--ch09.1.2-Type I and Type II error

--Exercise-ch09.1

-ch09.2-Test of Hypothesis about a population mean

--ch09.2.1-Critical valule approach

--ch09.2.2-P value approach

--ch09.2.3-One tail test

--ch09.2.4-T test of Hypothesis for the mean (sigma unknown)

--Exercise ch9.2

-ch09.3-Test of Hypothesis about a population proportion

--ch09.3-Z Test of Hypothesis for the proportion

--Exercise ch09.3

ch10-Two Sample Tests and One Way ANOVA

-ch10.1-Comparing the Means of two independent populations

--ch10.1.1-Comparing the differences between two means-Z test

--ch10.1.2-Pooled variance T test

--ch10.1.3-Pooled variance T test_an example

--ch10.1.4-Separate variance T test

--Exercise 10.1

-ch10.2-Comparing the Means of two related populations

--ch10.2-Paired T test

--Exercise ch10.2

-ch10.3-Comparing the proportions of two independent populations

--ch10.3-Comparing the proportions of two independent populations

--Exercise ch10.3

-ch10.4-F test for the difference between two variances

--ch10.4-F test for the ration of two variances

--Exercise ch10.4

-ch10.5-One-Way analysis of variance

--Exercise ch10.5

--ch10.5.1-One way ANOVA-Theory

--ch10.5.2-One way ANOVA-Example

--ch10.5.3-The Tukey Kramer Procedure

--ch10.5.4-Levene's test for homogeneity of variances

ch11-Simple Linear Regression

-ch11.1-Determining the simple linear regression equation

--ch11.1.1-Introduction to simple linear regression model

--ch11.1.2-Least squares method

--Exercise ch11.1

-ch11.2-Measures of variation

--ch11.2-Measures of variation

--Exercise ch11.2

-ch11.3-Residual analysis and inferences about regression coefficients

--ch11.3.1-Residual analysis

--ch11.3.2-Inferences about regression coefficients

--Exercise ch11.3

-ch11.4-Pitfalls in regression

--ch11.4-Pitfalls in regression

--Exercise ch11.4

Final Exam

-Final Exam

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