Please pick the appropriate statistical test for the experiment.You may have to use some tests more than once. You may not have to use all the tests listed below. z-Test              One-Sample t-Test                 Independent Samples t­-Test               Repeated Measures t-Test Between Subjects ANOVA                Repeated-Measures ANOVA                 Factorial ANOVA Correlation      Regression     Chi-Square   1.A researcher wants to know if people prefer Pokémon or Digimon. She asks 20 people to watch one episode of Pokémon and one episode of Digimon and asks them to rate each episode on a scale of 1-5. 2.I want to know how I did on the SAT compared to the general population. The SAT is a standardized test, so I know the population mean and standard deviation. 3.I work for a company that produces cheese. I want to know which state to send the most cheese to, so I need to test which state buys the most pounds of cheese: Wisconsin, California, or South Carolina. 4.I want to know if my new laptop does calculations faster (in seconds) than my old laptop. 5.A brand wants to know if they are tweeting more than the average Twitter. They know the average number of times Twitter users tweet a day, but they do not know the standard deviation. 6.A shop wants to start selling bags. It wants to find the company that will make them the most profits. It wants to see how a bag’s maker (designer or not) and its materials (high quality or low quality) affect its cost. 7.A new author wants to write a popular novel. They want to know which genre is the most popular: Horror, comedy, or drama. They want to compare sales for horror, comedy, and drama novels from the past year. 8.I want to know which pantheon has more gods: the Greek pantheon or the Sumerian pantheon. 9.I want to know if the number of inches of rain that falls in the spring is related to the number of inches of snow that falls in the winter. 10.A vet wants to know if cats have the most fur (measured in hairs per square inch) in the Spring, Summer, Fall, or Winter.

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Author:Amos Gilat
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Please pick the appropriate statistical test for the experiment.You may have to use some tests more than once. You may not have to use all the tests listed below.

z-Test              One-Sample t-Test                 Independent Samples t­-Test               Repeated Measures t-Test

Between Subjects ANOVA                Repeated-Measures ANOVA                 Factorial ANOVA

Correlation      Regression     Chi-Square

 

1.A researcher wants to know if people prefer Pokémon or Digimon. She asks 20 people to watch one episode of Pokémon and one episode of Digimon and asks them to rate each episode on a scale of 1-5.

2.I want to know how I did on the SAT compared to the general population. The SAT is a standardized test, so I know the population mean and standard deviation.

3.I work for a company that produces cheese. I want to know which state to send the most cheese to, so I need to test which state buys the most pounds of cheese: Wisconsin, California, or South Carolina.

4.I want to know if my new laptop does calculations faster (in seconds) than my old laptop.

5.A brand wants to know if they are tweeting more than the average Twitter. They know the average number of times Twitter users tweet a day, but they do not know the standard deviation.

6.A shop wants to start selling bags. It wants to find the company that will make them the most profits. It wants to see how a bag’s maker (designer or not) and its materials (high quality or low quality) affect its cost.

7.A new author wants to write a popular novel. They want to know which genre is the most popular: Horror, comedy, or drama. They want to compare sales for horror, comedy, and drama novels from the past year.

8.I want to know which pantheon has more gods: the Greek pantheon or the Sumerian pantheon.

9.I want to know if the number of inches of rain that falls in the spring is related to the number of inches of snow that falls in the winter.

10.A vet wants to know if cats have the most fur (measured in hairs per square inch) in the Spring, Summer, Fall, or Winter.

 

 

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