Statistics: Hypothesis Testing

Statistics

Unit 9: Hypothesis Testing

Master hypothesis testing for means and proportions with this all-inclusive unit bundle, featuring editable guided notes, homework sets, assessments, and engaging classroom activities. Perfect for comprehensive learning, this resource covers everything from null and alternative hypotheses to Type I and Type II errors, ensuring student success.

Included in this resource:

• 6 complete sets of student guided notes (answer keys & PowerPoints included)
• 6 homework problem sets + complete test review (answer keys included)
• 2 assessments – quiz and test (answer keys included)
• An in-class review summary
• 5 additional activities
• Suggested pacing and learning targets

All of the resources are 100% editable, to modify to fit your classroom needs. The zip folder includes the Word documents and PowerPoint presentations, which you have permission to edit completely with your license purchase. The PDF version and answer keys are included for your convenience.

I teach this course without a textbook, so everything that is provided here, can be used without supplementation.

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The student-friendly learning targets for this unit are:

• Students will understand the difference between null and alternative hypotheses and their role in hypothesis testing.
• Students will interpret p-values and determine whether to reject or fail to reject the null hypothesis.
• Students will identify the null and alternative hypotheses for a population proportion while verifying the conditions for making statistical inferences.
• Students will calculate the test statistic and p-value, interpret the p-value, and justify a claim about the population based on the results of a significance test for a population proportion.
• Students will identify the null and alternative hypotheses for a population mean while verifying the conditions for making statistical inferences.
• Students will calculate the test statistic and p-value, interpret the p-value, and justify a claim about the population based on the results of a significance test for a population mean.
• Students will identify, calculate, and interpret Type I and Type II errors.
• Students will explain the concept of power in a hypothesis test.
• Students will understand the concept of matched pairs and will conduct a matched pairs t procedure.
• Students will understand the relationship between confidence intervals and hypothesis testing and use confidence intervals to make decisions about hypotheses.

The Common Core Math Standards covered in this unit are:

• S-ID.1: Represent data with plots on the real number line (dot plots, histograms, and box plots).
• S-ID.2: Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation or two more different data sets).
• S-ID.4: Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.
• S-IC.1: Understand statistics as a process for making inferences about population parameters based on a random sample from that population.
• S-IC.2: Decide if a specified model is consistent with results from a given data-generating process, e.g., using simulation.
• S-IC.3: Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.
• S-IC.4: Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.
• S-IC.6: Evaluate reports based on data.

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Interested in my bundled units?

Statistics: Semester 1 Curriculum Bundle (Units 1 – 6)

Statistics: Semester 2 Curriculum Bundle (Units 7 – 11)

Check out my complete curriculum:

Statistics: The Complete Curriculum Bundle (Units 1 – 11)

You can check out each individual unit below!

• Unit 1 – One-Variable Data
• Unit 2 – The Normal Distribution
• Unit 3 – Two-Variable Data
• Unit 4 – Collecting Data
• Unit 5 – Probability
• Unit 6 – Random Variables
• Unit 7 – Sampling Distributions
• Unit 8 – Confidence Intervals
• Unit 9 – Hypothesis Testing
• Unit 10 – Comparing Two Populations
• Unit 11 – Chi-Square Distributions

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If you need extra explanations or additional guidance, I would love to help!! Contact me at goldiesmathemporium[at]gmail.com for any questions or samples.

I want to provide the best possible resources to help other teachers out! You will be notified of any future updates and additions to this product and it will be free of charge. Your support is important and I thank you for allowing me to continue doing what I love to do.

Note: I am not affiliated with nor endorsed by any textbook or other curriculum provider. I am a classroom teacher who creates curriculum materials to help other teachers.

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