Inferential Statistics Week 4 Quiz Answer
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Question 1)
Which of the following is not required for the distribution of the sample proportion to be nearly normal?
- Sample size should be at least 30 and the population distribution should not be extremely skewed.
- There should be at least 10 failures.
- There should be at least 10 successes.
- observations should be independent.
Question 2)
When checking conditions for calculating a confidence interval for a proportion, you should use which number of successes and failures?
- Observed
- Expected (based on the null value)
- Depends on the context
- Not applicable. The number of successes and failures (observed or otherwise) is not part of the conditions required for calculating a confidence interval for a proportion.
Question 3)
You are tasked with conducting a hypothesis test evaluating whether a majority or minority of Americans think it was a bad decision to hold the 2014 winter games in Russia. You're going to use data from a 2014 Pew Research poll asked 1,003 Americans this question, and 44% responded yes. Which of the following is the correct set of hypotheses?
- H0 : p = 0.50; HA :p ≠ 0.44
- H0 : p = 0.44; HA :p ≠ 0.44
- H0 : p = 0.5; HA :p ≠ 0.5
- H0 : p = 0.5; HA :p <0.5
Question 4)
You and a friend are about to visit the aviary at the local zoo for the first time. A trustworthy zookeeper says the aviary holds about 3,000 birds. Your friend read somewhere that 10% of those birds are cardinals, but he thinks there are really more cardinals than that. You're both great at identifying cardinals so you decide to test this claim with a hypothesis test on the true proportion pof cardinals in the aviary. You walk around the aviary together and get a simple random sample by spotting 250 birds. Of these, 35 were cardinals and 215 were not cardinals. The p-value is 0.0175. Which of the following is false?
- The success-failure condition is met
- if in fact 10% of the birds in the aviary are cardinals, the probability of obtaining a random sample of 250 birds where exactly 14% are cardinals is 0.0175.
- H0 : p = 0.10
- p = 0.14
Question 5)
Gallup conducts an annual poll of U.S. residents. Approximately 1,000 residents across all 50 states and Washington D.C. are asked "Do you believe the use of marijuana should be made legal?" The distribution of responses by date of survey is shown in the table below. Imagine a hypothesis test evaluating whether there is a difference from 2012 to 2013 between proportions of "yes" responses. Using the information in the table below, calculate the standard error for this hypothesis test. Choose the closest answer.
- 0.022
- 0.5798
- 0.4754
- 0.5274
- 0.00048
- Because in hypothesis testing we're interested in the variability of the true population distribution, and in confidence intervals we're interested in the variability of the sampling distribution.
- Because in hypothesis testing, we assume the null hypothesis is true, hence we calculate SE using the null value of the parameter. In confidence intervals, there is no null value, hence we use the sample proportion(s).
- Because if we used the same method for hypothesis tests as we did for confidence intervals, the calculation would he impossible.
- Because statistics is full of arbitrary formulas.
- Z-test
- X2 test of goodness of fit
- hypothesis test for a single mean
- X2 test of independence
- ANOVA
- F-test
- t-test
- Roll a 10-sided die 40 times and record the proportion of times you get a 1. Repeat this many times, and calculate the proportion of simulations where the sample proportion is 10% or more.
- Randomly sample 40 non-art students, and record the number of left-handed students in the sample. Repeat this many times and calculate the proportion of samples where at least 15% of the students are left-handed.
- In a bag place 40 chips, 6 red and 34 blue. Randomly sample 40 chips, with replacement, and record the proportion of red chips in the sample. Repeat this many times, and calculate the proportion of samples where at least 10% of the chips are red.
- Roll a 10-sided die 40 times and record the proportion of times you get a 1. Repeat this many times, and calculate the proportion of simulations where the sample proportion is 15% or more.
- True
- False
- right-skewed
- left-skewed
- uniform
- nearly normal
- 6.24
- 5.76
- 3.36
- 3.64
- True
- False
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