Statistical Sciences 2035 Lecture Notes - Jim Yong Kim, Creatine Kinase, Kims

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skyreindeer136

1 Dec 2011

School

Western University

Department

Statistical Sciences

Course

Statistical Sciences 2035

Professor

Steve Kopp

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Document Summary

In this chapter we will learn about descriptive statistics which is the science of describing the important characteristics of a population or sample. Describing the shape of a distribution (section 2. 1) As a patient of jim"s, you feel that you have to wait too long after the scheduled appointment time before you get to see dr. jim. You decide to study the length of time a patient waits before seeing dr. jim. You gather the following random sample of 24 waiting times (in minutes) during a typical month: We see in example 2. 1 that things start with a question: *xi time, in minutes, patient i waits after the scheduled appointment time before seeing dr. jim. *capital x is used to denote what is called a random variable. We use a variable, because we do not know the value that x will take on until you actually select a unit and record a measurement (collect the data).

Related Questions

1) The main purpose of descriptive statistics is to

A. Summarize data in a useful and informative manner.
B. Estimate a population characteristic based on a sample.
C. Determine if the data adequately represents the population.
D. Gather or collect data.

violetmallard962

Determine whether the given value is a statistic or a parameter.

"A survey found that 67% of all respondents have a job."

a)The value is a statistic because it is a numerical measurement describing some characteristic of a population.

b) The value is a statistic because it is a numerical measurement describing some characteristic of a sample.

c) The value is a parameter because it is a numerical measurement describing some characteristic of a sample.

d) The value is a parameter because it is a numerical measurement describing some characteristic of a population.

rosehedgehog511

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.

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Statistical Sciences 2035 Lecture Notes - Jim Yong Kim, Creatine Kinase, Kims

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