Stat 1000: Tips for Assignment 5

Published: Fri, 11/20/15

Final Exam Seminar is Dec. 5
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Tips for Assignment 5

Study Lesson 8: Confidence Intervals for the Mean and Lesson 9: Hypothesis Testing for the Mean in my book, if you have it, to prepare for this topic. 


Important Note:  Unlike what I instruct in my book, make sure that you compute a P-value every single time that you perform a hypothesis test.  They have decided to not teach about critical values this term, so there is no need to use Table D to get z* or t*, the critical value, for any hypothesis test.  Because you are not using critical values, it therefore becomes essential to compute a P-value. 


Your steps to test a hypothesis should always be:

  1. State the Hypotheses and so establish whether the test is upper-tailed, lower-tailed, or two-tailed.
  2. State the given level of significance, alpha.  Let alpha = 5% if none is given.
  3. Compute the test statistic using the correct formula for z or t.
  4. Compute the P-value by marking the test statistic on a bell curve and shading the appropriate region according to your alternative hypothesis.
  5. State your conclusion knowing that you always reject Ho if the P-value < alpha.

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:


To type in formulas you are using and to show your numbers subbed into the formulas click the button in the toolbar that looks like the Sigma Summation symbol (you have to click the "..." other options button to see the sigma formula input button.  Then click the various buttons to make your fractions and enter the symbols.

Exception: Always do any JMP stuff open-book.  Have my tips in front of you, and let me guide you step-by-step through any JMP stuff.  JMP is just "busy" work.  The sooner you get it done and can move on to productive things like understanding the concepts and interpreting the JMP outputs, the better off you will be.
Question 1
This is standard sample size stuff, like my questions 6 to 8 in Lesson 8.

Note that part (c) is talking about the Inverse-Square Relationship for sample size which I introduced in Lesson 8, question 8.

Don't let part (f) distract you!  The size of a population is irrelevant to sample size.
Question 2
This is standard confidence interval for the mean stuff.  Also take a look at Lesson 8, question 10 for an example of how to deal with an unusual level of confidence.  Be sure to state your answer in the form (Lower Limit, Upper Limit).
Question 3
This is an algebra problem.  They have given you sigma, the population standard deviation.  They have given you n, the sample size.  From the given interval, you can figure out what m, the margin of error, must be, since m is half the width.
  1. Find the width of the interval (upper limit - lower limit) and divide by 2 to determine m, the margin of error.
  2. We know that m = z* sigma/ square root of n, so figure out z*, algebraically.  Hint: z* = m times square root n divide by sigma.
  3. Once you know z*, read Table D backwards to see what the confidence level is.  So, if you get z*=2.326, for example, then Table D tells us that you must be 98% confident.  (That is not the answer.)
Question 4
This is good practice at my revised five steps to test a hypothesis as I outlined above in the introduction to  these tips.  Make sure you have studied Lesson 9 before attempting this question.  My question 12 is a similar example.  Make sure that you state your hypotheses correctly.
Question 5
Approach this just like the previous question.

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).  Although we prefer a population to be normal, that is not a necessary condition to test hypotheses or make confidence intervals for the mean.
Question 6
Part (b): Look at my Lesson 8, question 1(b) for an example of how to interpret a confidence interval for the mean.

Part (c) is running you through the revised five steps to test hypotheses again as I outlined above (you get to skip the critical value).  Note that they tell you what to hypothesize about in this part of the question. 

See my steps below to do the JMP.

Part (d): Look at my Lesson 9, question 6 for some examples of how to interpret a P-value.

Part (e): Make sure you look at my Lesson 9, question 13(d) for an example of the concept of using confidence intervals to test hypotheses.
Confidence Intervals and Hypothesis Tests in JMP

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 (30)and enter in the given standard deviation (1.2). 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.


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.


Select the appropriate P-value from this list.


To make a confidence interval:

You aren't asked to make a confidence interval in this question, but why not do so to check your answer to part (a)?


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.  Type in the level of confidence you desire as a decimal.  For example, if you want a 97% confidence interval, type in 0.97(Here, you want a 95% confidence interval, so type 0.95, which is the default value anyway.)


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 given at the start of the problem (1.2, in this case).  Click "OK" and JMP gives you the Confidence Interval at the bottom of the printout.