Word Problems
Conditions
Fill in the blank
True or False
100

In a study to investigate whether lack of sleep hurts short-term memory, 100 adults were each tested twice. Both times they studied a list of 30 words for two minutes, and were then asked to recall as many as possible, with a different but comparable list used each time. For one of the two tests they had been without sleep for 24 hours, while for the other they had a normal amount of sleep. The order was randomly assigned. The difference in number of words recalled (with sleep – without sleep) was recorded for each person. The average difference was 1.5 words, with a standard deviation of 6.1 words.

1-sample t-test

100

1-proportion z test 

  • The sample must be reasonably random 

  • The sample must be less than 10% of the population 

  • The sample must be large enough so that: np and nq ≥ 10


100

You can decrease both 𝛂 and 𝛃 by increasing _____

Sample size

100

True or false: as 𝛂 increases, 𝛃 decreases.

True

200

The quality control manager of a large ice-cream manufacturer claims that 80 percent of his 1,000,000 customers are very satisfied with the distribution of chunks in the ice-cream. To test this claim, the local newspaper surveyed 100 customers, using simple random sampling. Among the sampled customers, 73 percent say they are very satisfied. Based on these findings, can we reject the quality control manager’s hypothesis that 80% of the customers are very satisfied?  

1-proportion z-test

200

Difference of means 2-sample t-test

  • The two samples must be reasonably random and drawn independently 

  • 10% condition 

  • Look at a histogram or norm. probability plot of the data. Is it roughly normal?

200

You can check the nearly normal condition by looking at _______.

Histogram or normal probability plot of the data.

200

True or false: The power of a test is the probability of correctly failing to reject the null hypothesis

False

300

Two sections of a class in statistics were taught by two different methods. Students’ scores on a standardized test are shown below. Do the results present evidence of a difference in the effectiveness of the two methods?

2-sample t-test (Matched pairs)

300

Regression test

  • Quantitative data and straight enough

  • Random data

  • Does the plot thicken?

  • Nearly normal condition

300

A _____ error is a false negative.

Type II

300

True or false: If the 2 samples are independent, you can use a matched pairs test

False

400

An economist is deriving a model to predict outcomes on the stock market. He creates a list of expected points on the stock market index for the next two weeks. At the close of each day’s trading, he records the actual points on the index. He wants to see how well his model matched what actually happened.

Chi-square goodness of fit test

400

Chi-square homogeneity

  • Data are counts

  • Random/10% condition

  • Expected cell frequency greater than or equal to 5

400

For a chi-square test to be fitting for a test of independence, there should be _ variable(s) and _ population(s).

2 variables, 1 population

400

True or False: If the population standard deviation, σ is known, you can use a z-test on means

True

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