Prob. 4.1.27- Estimate the probability, and compare to the expected probability. -Statistics HW Help
In this video, we solve problem 4.1.27 from Essentials of Statistics, 6th edition, by Triola.
We're asked to estimate a probability, and then asked to compare the estimate to an expected probability.
Видео Prob. 4.1.27- Estimate the probability, and compare to the expected probability. -Statistics HW Help канала Sasha Townsend - Tulsa
We're asked to estimate a probability, and then asked to compare the estimate to an expected probability.
Видео Prob. 4.1.27- Estimate the probability, and compare to the expected probability. -Statistics HW Help канала Sasha Townsend - Tulsa
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
6.4.1 The Central Limit Theorem - What the Central Limit Theorem Says and What It Doesn't Say
SP21 DE Quiz 6 Standard L24 - Laplace Transformation Defined (Version A)
Problem 3.6.2 - Show that Euler's method yields a given solution. - Differential Equations HW Help![[ASL] 1. Vectors - Part 1 - Introduction to vectors in 2D](https://i.ytimg.com/vi/YLqXYV6_xek/default.jpg)
[ASL] 1. Vectors - Part 1 - Introduction to vectors in 2D
1.2.2 Types of Data - Quantitative versus Categorical Data
5.2.5 Binomial Probability Distributions - Using Probabilities to Determine Significance
8.1.0 Basics of Hypothesis Testing - Lesson Overview, Learning Outcomes, Key Concepts
1.12.1 Intermediate Value Theorem, Part 1, with Examples
Problem 3.3.33 - Construct and compare boxplots for two data sets. - Statistics HW Help
6.4.0 The Central Limit Theorem - Lesson Overview, Key Concepts, Learning Outcomes
3.3.4 Measures of Relative Standing - Boxplots and Modified Boxplots
1.3.3 Collecting Sample Data - Types of Sampling Methods
8.3.1 Testing a Claim About a Mean - With Sigma Not Known, Three Equivalent Methods
4.2.5 Addition and Multiplication Rules - The Multiplication Rule and Its Application
Problem 7.1.5 - Find the critical value that corresponds to the given confidence level.
6.1.2 The Standard Normal Distribution - Uniform Distributions
2.1.3 Frequency Distributions - Using Them to Infer Properties of the Data Set
4.1.1 Basics of Probability - Events, Simple Events, and Sample Spaces
1.5.1 The Division Algorithm and an Implication for Roots of m-th Degree Polynomials
6.4.3 The Central Limit Theorem - The Rare Event Rule and the Central Limit Theorem