1. For each of the following assertions, state whether it is a legitimate statistical hypothesis and why: a. H. o > 100 c. H: ss.20 e. H:X – Y = 5 f. H: A< .01, where A is the parameter of an exponential distribution used to model component lifetime b. H. x = 45 d. H: o l0, < 1

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Topic Video
Question
Can you help me with this question
1. For each of the following assertions, state whether it is a
legitimate statistical hypothesis and why:
b. H: x = 45
d. H: o l0, < 1
a. H: o > 100
c. H: ss.20
e. H: X – Y = 5
f. H: A< .01, where A is the parameter of an exponential
distribution used to model component lifetime
е.
2. For the following pairs of assertions, indicate which do not
comply with our rules for setting up hypotheses and why (the
subscripts 1 and 2 differentiate between quantities for two
different populations or samples):
a. Η : μ= 100, Η: μ> 100
b. Hg: o = 20, H,: o < 20
c. Hg: p + .25, H;:p = .25
d. Hg: µ - H2 = 25, H̟: µ1
e. Hj: S{ = S%, H,: S{ # S{
Hz> 100
. Η:μ 120, Η : μ 150
g. Hg: 0,l02 = 1, H;; 0 l02 # 1
h. Hg: P1 - P2 = -.1, H;: p - Pr < -.1
S PhotoGrid
Transcribed Image Text:1. For each of the following assertions, state whether it is a legitimate statistical hypothesis and why: b. H: x = 45 d. H: o l0, < 1 a. H: o > 100 c. H: ss.20 e. H: X – Y = 5 f. H: A< .01, where A is the parameter of an exponential distribution used to model component lifetime е. 2. For the following pairs of assertions, indicate which do not comply with our rules for setting up hypotheses and why (the subscripts 1 and 2 differentiate between quantities for two different populations or samples): a. Η : μ= 100, Η: μ> 100 b. Hg: o = 20, H,: o < 20 c. Hg: p + .25, H;:p = .25 d. Hg: µ - H2 = 25, H̟: µ1 e. Hj: S{ = S%, H,: S{ # S{ Hz> 100 . Η:μ 120, Η : μ 150 g. Hg: 0,l02 = 1, H;; 0 l02 # 1 h. Hg: P1 - P2 = -.1, H;: p - Pr < -.1 S PhotoGrid
3. To determine whether the pipe welds in a nuclear power
plant meet specifications, a random sample of welds is
selected, and tests are conducted on each weld in the sample.
Weld strength is measured as the force required to break the
weld. Suppose the specifications state that mean strength of
welds should exceed 100 lb/in²; the inspection team decides
to test H: µ = 100 versus H; µ> 100. Explain why it
might be preferable to use this H, rather than µ < 100.
4. Let u denote the true average radioactivity level (picocuries
per liter). The value 5 pCi/L is considered the dividing line
between safe and unsafe water. Would you recommend testing
Η , μ= 5versus Η : μ> 5 or H: μ = 5 versus Η: μ < 5?
Transcribed Image Text:3. To determine whether the pipe welds in a nuclear power plant meet specifications, a random sample of welds is selected, and tests are conducted on each weld in the sample. Weld strength is measured as the force required to break the weld. Suppose the specifications state that mean strength of welds should exceed 100 lb/in²; the inspection team decides to test H: µ = 100 versus H; µ> 100. Explain why it might be preferable to use this H, rather than µ < 100. 4. Let u denote the true average radioactivity level (picocuries per liter). The value 5 pCi/L is considered the dividing line between safe and unsafe water. Would you recommend testing Η , μ= 5versus Η : μ> 5 or H: μ = 5 versus Η: μ < 5?
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 7 images

Blurred answer
Knowledge Booster
Data Collection, Sampling Methods, and Bias
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman