About Us

Why Choose StudyPug

How it works

Pricing

Testimonials

Contact Us

Blog

Basic Math

Algebra

Geometry

Trigonometry

Calculus

Linear Algebra

Differential Equations

Statistics

Chemistry

Organic Chemistry

Physics

Microeconomics

For Students

For Parents

For Home Schoolers

For Teachers

Australia

Canada

Ireland

New Zealand

Singapore

United Kingdom

United States

Sitemap

Terms of Service

Privacy Policy

Comparing Theoretical and Experimental Probability: Key Insights

TX.S.2.A

auto-gen

Classification of data

Characteristics of Quantitative Data

Classify the Level of Measurement

Identify the Level of Measurement

TX.S.2.B

Influencing factors in data collection

TX.S.2.C

Spread of a data set - standard deviation & variance

TX.S.2.D

Sampling distributions

Understanding Proportions and Sample Size

TX.S.3.B

Frequency distribution and histograms

Regression analysis

Equation of the best fit line

Stem and leaf plots

The Leaf and Stem of Numbers

Recognizing the Leaf and Stem of Numbers

Recognizing The Leaf And Stem of Numbers Leaf

Recognizing The Leaf And Stem of Numbers Stem

Reading Stem and Leaf Plots — Median

Reading Stem and Leaf Plots — Range

stem and leaf plots Range

Reading Stem and Leaf Plots

Reading Stem and Leaf Plots — Mean

Reading Stem and Leaf Plots — Mode

Frequency polygons

TX.S.3.C

Range and outliers

Range and Outlier Word Problems

Outlier Word Problems

Range Word Problems

Find the Range

Shapes of distributions

TX.S.3.E

Center of a data set: mean, median, mode

TX.S.3.F

Probability with Venn diagrams

TX.S.4.B

Comparing experimental and theoretical probability

comparing experimental and theoretical probability

TX.S.4.C

Probability distribution - histogram, mean, variance & standard deviation

TX.S.4.D

Central limit theorem

Central Limit Theorem

Applying the Central Limit Theorem

TX.S.5.A

Confidence levels and critical values

TX.S.5.B

Margin of error

Margin of Error

TX.S.5.C

Binomial distribution

Binomial Distribution

Mean and standard deviation of binomial distribution

Interpreting Mean and Standard Deviation of Binomial

Confidence intervals to estimate population mean

TX.S.5.E

Making a confidence interval

TX.S.5.F

Null hypothesis and alternative hypothesis

TX.S.5.H

P-value hypothesis testing

Proportion Hypothesis Testing

TX.S.5.I

Traditional hypothesis testing

Traditional Mean Hypothesis Testing

TX.S.5.J

Type 1 and type 2 errors

Type 1 and Type 2 Errors

TX.S.6.A

Sampling methods

Sampling Methods

TX.S.6.D

Student's t-distribution

Student"s t-distribution

Determining a Confidence Interval for a Population Mean using t-distributions

Census and bias

Census and Bias

Classifying Bias

TX.S.6.E

Bivariate, scatter plots and correlation 

TX.S.6.F

Proving claims

Confidence levels, significance levels and critical values

Categorical and quantitative data

Inference

Probability and random variables

Statistical studies

Variability

math

Ex.1

Ex.2

Intro

In this section, we compare experimental probability and theoretical probability. Experimental probability is the probability of an event occurring based on experimental results. In contrast, theoretical probability is the expected probability of an event occurring. In previous sections, we practiced calculating theoretical probability. In this section, we examine a given chart to determine whether it provides information about experimental or theoretical probability. Also, we practice interpreting tables of experimental results and using these tables to calculate the experimental and theoretical probabilities of outcomes occurring.  