Payne-less Math

An entire course of statistics assignments/activities. The topics begin with data collection and go through hypothesis testing and Chi-Square tests. Activities and assignments will be regularly updated as changes are made to the assignments. All answer keys are included.

This bundle includes notes over the normal distribution, applications of the normal distribution, central limit theorem, and using a normal approximation for a binomial distribution. A perfect bundle for basic sampling distributions of means. All answer keys included.

Hypothesis testing notes for means (both z and t distributions), proportions, and variance/standard deviation. All answer keys included.

Students will be able to perform a hypothesis test for the difference of two means when the population standard deviation is unknown (t-table), as well as construct a two sample confidence interval. Answer key is included.

Students will be able to perform a hypothesis test for the difference between two means when the population standard deviation is known (z-test). Confidence intervals for the difference between means also included in the notes. Answer key is included.

Students will be able to determine when to use a normal distribution for a binomial distribution to find probabilities of events. These notes account for a correction of continuity. Answer key included

This bundle includes probability distributions, binomial, geometric, Poisson, and other distributions as well as mean, variance, and standard deviation of a probability distribution. Broken down into four lessons. All answer keys included.

Students will begin looking at the basics of hypothesis testing. Students will go over writing the hypotheses, identifying the claim, type I and II errors, right, left, and two-tailed tests and the basic 5 steps for any hypothesis test. Answer key included.

Students will use sampling distributions of means to learn the central limit theorem. It begins with an example to show that the formula for the mean/standard deviation do in fact work. The notes continue with examples of finding probabilities from samplings using the central limit theorem. Answer key included.

Students use knowledge from the previous lesson on the normal distribution to find probabilities for real-life application-type problems. Also included, working backwards to find an x value. Answer key included.

These notes give students an introduction to the normal distribution, distribution shapes, and how to use the distribution to find areas under the normal curve as well as writing these areas as probabilities. Answer key included at the end of the document.

Students will be able to perform a hypothesis test for the difference between two proportions (z-test), as well as construct a confidence interval for the data. Answer key included.

Students will be able to use dependent samples to perform a hypothesis test for the difference in the means (t-test). Answer key included.

Students will be able to complete hypothesis tests for the mean using both rejection regions and p-values to determine whether to reject or fail to reject Ho. Answer key included.

Students will go through the properties of a binomial distribution and when to use that distribution. Students will find probabilities using a binomial distribution and find the mean, variance and standard deviation of a binomial distribution. Answer key included.

Statistics notes on probability distributions. Includes constructing probability distributions and then determining if a distribution is a probability distribution. Ends with open ended questions for student reflection

Students will use the chi-square distribution to complete a hypothesis test for the variance and standard deviation. Answer key included.

Notes for hypothesis testing for proportions using the z-table. Answer key included.

Students will be able to complete hypothesis tests for the mean when the population standard deviation is unknown using the t-distribution. Answer key included.

This 10 question assignment begins with questions that require students to state what they have learned in their own words. There are 5 questions in which students will apply the central limit theorem, and the last question has students make a final statement about what happens to the standard error as sample size increases. Answer key included.