Stat 1000: Assignment 5 Tips (Classroom Lecture Sections)
Published: Fri, 03/22/13
My tips for Assignment 5 are coming below, but first a couple of announcements.
Please note that my final two-day review seminar for
Stat 1000 will be on Saturday, Mar. 30 and Sunday, Apr. 7 (eight days later), in room 100 St. Paul's College,
from 9 am to 6 pm each day. This seminar will cover the lessons in Volume 3 of my book. I expect to also have time on Day Two to go through a Sample Final Exam.
Did you read my Tips on How to Do Well in this Course?
Make sure you do: Tips on How to Do Well in Stat 1000
Did you read my Tips on what kind of calculator you should get?
Did you miss my Tips for Assignment 4?
Tips for Assignment 5 (Classroom Lecture Sections A01, A02, A03, etc.)
Don't have my book? You can download a free sample containing Lesson 1 at my website here:
You will be using Table A and Table D while learning Lesson 8 and 9
and doing this assignment. Here is a link where you can download those
tables if you have not done so already:
First, be sure
to note whether a question gives you σ, the population standard
deviation, or s, the sample standard deviation. That dictates whether
you will use z or t when making your confidence interval or testing your hypothesis.
Question 1 is using the sample size formula
introduced before question 6 in my Lesson 8. Be sure to look at
questions 6, 7 and 8 in my Lesson 8 before attempting this question. Be
careful in part (f).
You may want to take a look at my question 2 in Lesson 7 as an
illustration of the concept they are discussing.
Question 3 requires some challenging
algebra. Take a look at my question 13(c) in Lesson 9 as a starting
point for this question.
Step 1: Establish the width of the confidence interval by finding the difference between the upper and lower limit of the confidence interval you are given. Divide the width by 2 and you now know m, the margin of error.Step 2: You are also given sigma and n, so you can compute sigma(x-bar), the standard deviation of the sample mean (sigma divide by the square root of n).Step 3: Since the margin of error, m, is z* multiplied by the standard deviation of x-bar, you can simply divide m by the standard deviation to find z*. Put another way, you can take the answer in Step 1 and divide it by the answer in Step 2 to compute z*.Step 4: If your answer for z* is on Table D, excellent! You can now read off the level of confidence. If your answer for z* is not on Table D, remember that the level of confidence is the area between z* and -z* on the bell curve, so you can figure out that percentage from Table A. Make sure you express the area as a percentage.
Question 4 is good practise at all five
steps to test a hypothesis. Make sure you have studied Lesson 9 up to
the end of question 12 at least before attempting this question.
Question 5 is much like question 4. Be sure to read the section in Lesson 8 about "Inferences for
the Mean are robust" that I write in the pages leading up to question 1
to understand what they are getting at in part (a) (or remind yourself about the Central Limit Theorem in Lesson 7).
Question 6 is yet another runthrough of
hypothesis
testing. Make sure you look at my Lesson 9, question 13(d) for an
example of the concept of using confidence intervals to test hypotheses. Make sure you
properly interpret the confidence interval. Look at my question 1(b) in
Lesson 8 for an example of that.
To use JMP, click "New Data Table", then enter the data into
Column 1. Double-click Column 1 and name it "Fill Pressure". Now select "Analyze",
"Distribution" and highlight "Fill Pressure" and click "Y, Columns", then
click
OK. You are now looking at a histogram and stuff.
To test the hypothesis. Click the red
triangle next to "Fill Pressure" then select "Test Mean" from the
drop-down list. Enter in
the
mean from your null hypothesis and enter in the given standard
deviation . Click
"OK" and JMP gives you the hypothesis test at the bottom of the
printout. Note that you cannot enter the level of significance they
have given. The level of significance is not relevant to JMP, you will use that yourself to make your decision. Note that:
JMP gives you the P-values, and you make your decision from
that. As they say, you will write out the
hypotheses, list the test statistic as given by JMP, list the P-value as
given by JMP, and then write your conclusion.
Prob > |z| is the P-value for a two-tailed test.
Prob > z is the P-value for an upper-tailed test.
Prob < z is the P-value for a lower-tailed test
To make the confidence interval. I am not
sure if they mean for you to do the confidence interval by hand, or with
JMP, but here is how to do it with JMP if you want to check your answer
at least. Click the red
triangle next to "Fill Pressure" then select "Confidence Interval" from
the
drop-down list. Select "Other" to get a pop-up menu. It probably
already has 0.95 typed in (for 95% confidence interval), but, if not, be
sure to type in 0.95. Make sure you click the box saying "Use known Sigma".
Click "OK" and you will then get a pop-up menu to type in the sigma
value. Click "OK" and JMP gives you the
Confidence Interval at the bottom of the printout.
You can now select "File" in the JMP toolbar, and select
"Save As" and save the printout as a PDF file and upload it into the
HTML editor. Type in the other answers they require and submit.