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STAT 2040 Study Guide - Quiz Guide: Reinforcement, Headache, Random Number Table

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maroonlizard683
17 Jan 2017
School
University of Guelph
Department
Statistics
Course
STAT 2040
Professor
Jeremy Balka

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Document Summary

1. succinctly state the difference between a parameter and a statistic. A parameter is usually an unknown numerical characteristic of an entire population. A statistic is a calculable numerical characteristic of a sample of a population: researchers are interested in estimating the average weight of 3 year old walleye in a lake. No, as in order to do so we would have to catch every 3-year old walleye in the lake. Simple random sampling: an importer of used medical equipment wants to estimate the proportion of defective pacemakers in a shipment of 200 pacemakers. They open the shipping container, remove the top 8 pacemakers, and find that 0% of these 8 pacemakers are defective. No, as only the top 8 pacemakers were chose. The sample is therefore biased: suppose a professor wishes to estimate the proportion of female students in a class of 50 students.

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Introductory Statistics
OER Edition, 2013
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ISBN: 9781938168208

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Related Questions

Use the following scenario for questions 6 – 8. In 2016-17, the average SAT score of the UVA first year class was 1420 out of 1600. An advisor in the statistics department is interested in determining whether statistics majors from that class have higher SAT scores than the average. He tests H,:µ = 1420 against Hạ: µ > 1420, where u is the mean SAT score for statistics majors from the 2016-17 first year class. In a simple random sample of 30 statistics majors, he finds a sample mean SAT score of 1440 with sample standard deviation of 40.

6. What is the value of the test statistic for this significance test?

a. 0.09

b. 0.5

c. 2.73

d. 20

7. From what distribution is this test statistic?

a. N(0, 1)

b. N(1420, 7.30)

c. t distribution with 29 degrees of freedom

d. t distribution with 28 degrees of freedom

8.) The p-value for this test is 0.005. Which of the following is a proper interpretation of this p- value?

a.There is a 0.5% chance that the null hypothesis is true.

b. If the population mean SAT score really is 1420, there's a 0.5% chance that the sample a. mean SAT score from 30 statistics majors would equal 1440.

c.If the population mean SAT score really is 1420, there's a 0.5% chance that the sample mean SAT score from 30 statistics majors would be 1440 or lower.

d. If the population mean SAT score really is 1420, there's a 0.5% chance that the sample mean SAT score from 30 statistics majors would be 1440 or higher.