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Syllabus for STAT 1000Q Robert Apruzese

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redhorse12
19 Jan 2022
School
UConn
Department
Statistics
Course
STAT 1000Q
Professor
Robert Apruzese

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STAT 1000Q Full Course Notes
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Document Summary

Lecture section 015 (015d - 024d) and lecture section 027 (027d - 036d) Office hours: tuesday-thursday 12:30 - 02:00 in aust 302. Time and location: lecture section 015: tuth 11:00 - 12:15 in gw 36. Lecture section 027: tuth 09:30 - 10:45 in gw 36. Learning to do sta- tistical analysis on a personal computer using minitab software is an integral part of the course. Required textbooks: (in addition to free class notes on huskyct: a first course in business statistics, custom edition for the university of connecticut, taken from. Statistics for business and economics, 13th edition, mcclave, benson, and sincich, (c) 2018, pearson. There are multiple purchase options which are explained in a separate document on. Since a registration code is needed for online homework, used copies of the text are not viable since they almost never come with registration codes: an introduction to data analysis using minitab 18, 6th edition.

Related textbook solutions

Introductory Statistics
OER Edition, 2013
Openstax
ISBN: 9781938168208

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Related Questions

A probability distribution for all possible values of a sample statistic is known as
A.normal distribution
B. uniform distribution random c.sampling sampling distribution
D.sampling distribution

A function of a random variable which describes the probability that random variable is
Select one
A.Probability distribution function
B. Discrete random variable
C. Sampling distribution function
D. Continuous random variable

Consider the normal distribution the vanability is increased and the height of the curve is decreased for the
A. Larger value of standard deviation
B. Smaller value of mean
C. Smaller valie of stabdard deviation
D. Larger value of mean

The sampling destination of the sample mean is a distribution of
A. Sample statistic /estimator
B. individual population values
C. individual sample values
D. Population parameters


The sampling distribution of the mean is distribution of
A. Sample statistic
B. Population parameters
C. individual population values
D. individual sample values

A sampling distribution refers to the distribution of _______________.
(a)repeated populations
(b)repeated samples
(c)a sample statistic
(d)a population parameter

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.