# Video Statistics and Probability Tutor by Dr. Larry Green

\$1.99
• Release:Jul 20, 2011
• Size:413.21 Mb
Genres:
• Finance
• Education
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With 11 MAJOR CATEGORIES and 58 VIDEO LECTURES totaling over 7 HOURS of lessons, Video Statistics and Probability Tutor covers elementary to advanced statistics in video, tutorial form.

* These 58 VIDEOS are in app, not streamed from Internet. You can use this product anywhere.

Video Statistics and Probability lessons include:
-Descriptive Statistics
*Calculate the Mean and Standard Deviation
*How to Construct a Stem and Leaf Diagram
*How to Construct a Frequency Histogram
*How to Construct a Box Plot

-Probability
*Using the Definition of Probability Rules
*Determining if Events are Independent
*Using a Tree Diagram to Find a Probability
*Using a Contingency Table to Find Probabilities

-Discrete Random Variables
*Finding the Expected Value
*Finding a Binomial Probability
*Finding a Binomial Probability ( the Rule of Complements)

-Continuous Random Variables
*The Uniform Distribution and Finding a Probability
*The Uniform Distribution and Conditional Probability
*The Uniform Distribution and Percentiles
*The Exponential Distribution and Probability

-The Normal Distribution
*Finding the probability of observation less than a given value
*Finding the probability of observation grater than a given value
*Finding the probability of observation between two values
*Finding the value that represents the 5th percentile
*Finding the value at which a % of data lies above that value
*Finding the Interquartile Range

-The Normal Approximation to the Binomial Distribution
*Finding the probability that a count is less than a number
*Finding the probability that a count is less or = to a number
*Finding the probability that a count is greater or = to a number
*Finding the probability that a count is grater than a number
*Finding the probability that a count is between 2 numbers

-The Central Limit Theorem
*Determining the Sampling Distribution
*Determining the Distribution of a Sum
*Using the Central Limit Theorem to Find a Probability
*Finding the Probability That a Sum is Between 2Numbers
*Finding a Sample Mean Given a Percentile

-Confidence Intervals
*Confidence Interval - Single Population Proportion
*Confidence Interval - Single Population Mean (s Known)
*Confidence Interval - Single Population Mean (s Unknown)
*Confidence Interval - Single Population Mean (Computer)
*Sample Size for Confidence Interval for a Mean
*Sample Size for Confidence Interval for a Proportion
*Sample Size for Confidence Interval for a Proportion (Without a Preliminary Estimate for p)

-Hypothesis Tests for a Single Variable
*Setting Up a Hypothesis Test: (Proportion)
*Interpreting a and P- Make Conclusion ( Mean)
*Interpreting a and P- Make Conclusion (2-Tailed Test,)
*Hypothesis Test Single Population Mean
*Hypothesis Test Single Population Mean (Left Tailed)
*Hypothesis Test for Single Population Proportion (2 Tailed)
*Hypothesis Test for Single Population Mean (Computer)

-Hypothesis Tests for a Difference
*Hypothesis Test Difference Between 2 Means (s Known)
*Hypothesis Test Difference Between 2 Means (s unknown)
*Hypothesis Test Difference Between Proportions
*Hypothesis Test Paired Difference Calculations by hand
*Hypothesis Test Paired Difference Calculations computer

-c -Squared, Regression Analysis, Testing 2 Variances, & ANOVA
*c-Squared Goodness of Fit (rejecting null hypothesis)
*c-Squared Goodness of Fit (failing to reject the null hypothesis) computer
*Finding an Expected Count and a Part of c2
*c-Squared Test for Independence
*Regression Analysis
*Testing for the Difference Between Two Variances
*Performing a 1-Way ANOVA Test
***
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