# STAT 1450 Study Guide - Midterm Guide: Statistical Inference, Pepsodent, Null Hypothesis

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Published on 17 Sep 2020
School
Ohio State University
Department
Statistics
Course
STAT 1450
Professor
Exam 2 Version A
Exam 2 Version A Page 1
Name Mr(s). Key
Recitation Day&Time
STAT 1450 Exam 2 Autumn 2013 - Version A
Circle your recitation TA name fom hi list.
Andrew Bean
Thomas Kilbane
Mark Risser
Hui Yang
Matt Brems
Angus McKay
Andrew Olsen
Your percentage score will be based upon 50 points.
Exercises 1.12. are each worth 2 points and are either multiple choice or fill-in-the-blank.
Use the following information for Questions 1-3:
A study on heart disease classified volunteers by their smoking habits and socio-economic status.
Smoking Habits
Socio-Economic Status (SES)
Former
Total
Upper
74
126
Lower
34
74
Total
108
200
1) What percentage of the volunteers are Current smokers or from the Upper-class?
a) 17%
b) 26%
c) 42%
d) 83%
2) What percentage of the volunteers are neither Current smokers nor from the Upper-class?
a) 17%
b) 26%
c) 42%
d) 83%
3) Which categories of volunteers are disjoint?
a) Volunteers that are Former smokers and the Current smokers.
b) Volunteers from the Upper SES and the Current smokers.
c) Volunteers from the Lower SES and the Current smokers.
d) The aggregate of the SES variable and the Current smokers.
4) Which of the following is not a simple condition associated with statistical inference?
a) Verifying that a data set is from a random sample (or representative of a random sample).
b) Verifying that the population is at least 20 times the size of the sample.
c) Verifying that the population mean, P, is known.
d) Verifying the Normality of the population, or, that the data neither contains heavy skewness
nor outliers.
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Exam 2 Version A
Exam 2 Version A Page 2
Use the following information for Exercises 5 8 (Answers may vary):
A particular random sample had the following information:
̅ = 45 s = 6.5 n= 52 P-value = 0.021 Test Statistic = 2.03
Assuming ̅ & s remain unchanged, identify values of n that would produce the desired result.
5) Identify a value of n that would produce a larger P-value __n=25__(or any n< 52)__
6) Identify a value of n that would produce a larger Test Statistic __ n=100_(or any n> 52)__
7) Now suppose a 95% confidence interval was desired for P __ n=100_(or any n> 52)__
Identify a value of n that would produce a narrower interval.
8) Identify a value of n that would produce more evidence against H0. __ n=100_(or any n> 52)__
9) Migel ed hi on jdgmen hen he aed, Thee i a 30% chance ha he ne Ohio Sae
Uniei Peiden ha Ohio oo. Thi i an eamle of
a) theoretical probability.
b) personal probability.
c) marginal probability.
d) complementary probability.
10) Each student in a class logs the amount of time they spend on Facebook daily for one week. The
students compute their sample averages. Their Teaching Assistant (TA) records the weekly averages
in one column of JMP. The TA also records all of the daily times for all students in another
column. The weekly averages will have a range that is:
a) greater than that of the daily times.
b) the same as that of the daily times (because the data were from the same set of people).
c) the same as that of the daily times (because of the Central Limit Theorem).
d) smaller than that of the daily times.
11) Two events, P(A|B) and P(B), can be best represented by:
a) non-overlapping circles in a Venn Diagram.
b) adjoining branches in a Tree Diagram.
c) the sum of their probabilities.
d) the mean of their probabilities.
12) The anticipated positive impact a vaccine has had on a dozen subjects that were suffering from an
ailmen a meaed b each aien engh. Sengh a meaed befoe-and-after vaccine
administration. The variable: Difference = Strength After Strength Before was created. The
appropriate alternative hypothesis for the population mean difference in patient strength is:
a) Ha: P = 0
b) Ha: P 0
c) Ha: P > 0
d) Ha: P0
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