Exam 2 Solutions - Engineering Statistics | STAT 305, Exams of Statics

Material Type: Exam; Class: ENGINEERING STAT; Subject: STATISTICS; University: Iowa State University; Term: Summer Session I 2009;

Typology: Exams

Pre 2010

Uploaded on 09/02/2009

koofers-user-u6c
koofers-user-u6c 🇺🇸

9 documents

1 / 3

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Name: SOLUTION Statistics 305 Exam 2 part II
June 23rd, 2009
[40 points total]
Problem 1 [16 points total]
In an attempt to investigate the true mean lifetime of a certain brand of 60 watt light bulb, data
were gathered on 30 light bulbs. The data resulted in a sample mean of
1020x
hours and
sample variance of
3600
2
s
hours2.
a) Calculate a two-sided 95% confidence interval for μ, the true mean lifetime of this
type of 60 watt light bulb (and interpret it). [5 pts]
)471.1041,529.998(
30
60
96.11020
96.1025.2/
025.
z
I am 95% confident that the true mean lifetime of this type of 60 watt light bulb is
between 998.529 and 1041.471 hours.
b) What does it mean to be 95% confident? [3 pts]
If I were to take many, many samples of size 30 and compute a 95% confidence interval
for each, I would expect 95% of those intervals to contain the true mean.
c) How big of a sample would I need to take if I wanted to compute a 92% confidence interval
using the same mean and standard deviation above that had a width of 20? [4 pts]
α = .08 so α/2 = 0.04 and zα/2 = 1.75
11125.110
20
)60)(75.1(2
2
n
I would need a sample of 111 light bulbs.
The manufacturer of the 60 watt light bulb claims that the true mean lifetime is 1045 hours. As
part of our study we wish to test whether this claim is true or false.
d) Set up the appropriate null hypothesis and alternative hypothesis. [2 pt]
0
H
: μ = 1045 hours vs.
a
H
: μ 1045 hours
pf3

Partial preview of the text

Download Exam 2 Solutions - Engineering Statistics | STAT 305 and more Exams Statics in PDF only on Docsity!

Name: SOLUTION Statistics 305 Exam 2 part II June 23rd, 2009 [40 points total] Problem 1 [16 points total] In an attempt to investigate the true mean lifetime of a certain brand of 60 watt light bulb, data were gathered on 30 light bulbs. The data resulted in a sample mean of x  1020 hours and sample variance of s^2  3600 hours^2. a) Calculate a two-sided 95% confidence interval for μ, the true mean lifetime of this type of 60 watt light bulb (and interpret it). [5 pts] ( 998. 529 , 1041. 471 ) 30 60 1020 1. 96 / 2. (^025). 025 1. 96      zI am 95% confident that the true mean lifetime of this type of 60 watt light bulb is between 998.529 and 1041.471 hours. b) What does it mean to be 95% confident? [3 pts] If I were to take many, many samples of size 30 and compute a 95% confidence interval for each, I would expect 95% of those intervals to contain the true mean. c) How big of a sample would I need to take if I wanted to compute a 92% confidence interval using the same mean and standard deviation above that had a width of 20? [4 pts] α = .08 so α/2 = 0.04 and zα/2 = 1.

  1. 25 111 20 2 ( 1. 75 )( 60 ) 2  ^      n ^  I would need a sample of 111 light bulbs. The manufacturer of the 60 watt light bulb claims that the true mean lifetime is 1045 hours. As part of our study we wish to test whether this claim is true or false. d) Set up the appropriate null hypothesis and alternative hypothesis. [2 pt] H (^) 0 : μ = 1045 hours vs. H (^) a : μ ≠ 1045 hours

e) Compute the test statistic that we would use for this hypothesis test and give the distribution that it follows. [4 pts]

  1. 282 ~ ( 0 , 1 ) 60 / 30 1020 1045 Z  N   f) Below is the distributional curve for the appropriate test statistic from part e). On the plot below, fill in the area that corresponds to the p-value. [2 pts] -4 -3 -2 -1 0 1 2 3 4

X g) Calculate the p-value for our test statistic and use this information to make a decision about the manufacturer’s claim. [4 pts] p-value = 2P(Z<-2.28) = 2(0.0113) = 0. Since p-value < α = 0.05, we Reject H 0 h) State your conclusion in the context of the problem. [2 pts] There is significant evidence at the 0.05 level of significance to conclude that the mean lifetime of this brand of 60 watt light bulb is not 1045 hours. i) Say we want an interval that is more precise than (not as wide as) the interval in part a), but we want to keep a 95% confidence level. How can we alter the study to obtain this result? [2 pts] The easiest thing would be to increase the sample size. You could also decrease the standard deviation but that isn’t possible to physically manipulate. Problem 2. Circle either T (true) or F (false). [2 pts each]