Quantitative Data and Probability True or False

1. What is the difference between μ and x? -> μ is the median, and x is the mean.
2. What is the group of all the individuals we could possibly be interested in? -> Parameter
3. We want to study teachers' attitude toward Shmoop. Which of these will give us a random sample? -> Find or create a list of teachers, and randomly select people from that list to poll.
4. We want to study the effects of reading Shmoop on the development of psychic powers. What type of study should we use to collect the data? -> A standard normal distribution
5. What is a sampling distribution? -> A distribution of possible estimates from sampling a population.
6. Why don't we accept the null hypothesis? -> Collecting more data might show that the null hypothesis is likely to be false.
7. Simulation of a sampling distribution found a margin of error of ±0.22. Which estimate would lead to us rejecting a null hypothesis of 0.4? -> 0.2
8. Simulation of a sampling distribution found a margin of error of ±68. Which estimate would lead to us failing to reject a null hypothesis of -130? -> -156
9. The mean of a sample is 0.60. A simulation of the sampling distribution is run 400 times. How many trials would have to be as large or larger for us to reject the null hypothesis? -> 20
10. What is the most likely value for the null hypothesis of this simulated sampling distribution? -> 0.35

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