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Can We Get There?
Students will calculate the rate of change and y-intercept from a real-world problem represented in a graph, a table, and/or an equation. They will then display and present their findings to the class.
2.07 Lurking and Confounding Variables
In this video, students learn the difference between lurking and confounding variables and how they affect results.
2.08 Generalizability of Results and Conclusions
In this video, students learn how to interpret results and draw conclusions based on them.
6.01 Probability and the Law of Large Numbers
In this video, students are introduced to the concept of probability using the Law of Large Numbers.
6.02 Probability Terminology
In this video, students learn key terminology associated with probability.
6.03 Venn Diagrams
In this video, students represent and calculate probabilities using Venn diagrams.
6.04 Independent and Mutually Exclusive Events
In this video, students calculate probabilities for independent events and mutually exclusive events.
6.05 Contingency Tables
In this video, students calculate probabilities using a two-way contingency table.
6.06 Tree Diagrams
In this video, students calculate conditional probabilities using a tree diagram.
6.07 Discrete Random Variables
In this video, students are introduced to discrete random variables.
6.08 The Binomial Distribution
In this videos, students use the binomial distribution to find the expected value, variance, and probabilities associated with a binomial random variable.
6.09 Binomial Approximation
In this videos, students approximate the binomial distribution with the normal distribution for large samples.
5.01 Measuring Center of a Distribution
In this video. students will learn three measurements of center, calculate those measurements, and compare the mean and median of data sets.
5.02 Measuring Spread of a Distribution
In this video, students will learn four measurements of spread, and calculate them by hand and on a calculator for several data sets.
In this video, we will see how outliers affect data sets and measures of center and spread.
5.04 Visualizing and Transforming Data: Implications for Mean and Standard Deviation
In this video, we will observe how the mean and standard deviation change based on different values in a data set.
5.05 Introduction to the Empirical Rule
In this video, we introduce the normal distribution and the empirical rule.
5.06 The Normal Distribution
In this video, we continue with the normal distribution and introduce how to use the Z table.
4.01 Frequency Tables
In this video, we introduce frequency and relative frequency tables.
4.02 Cumulative Frequency Tables
In this video, students will construct cumulative frequency tables.