Stat 1000: Tips for Assignment 6
Published: Thu, 04/05/12
Did you miss my Tips on How to Do Well in this Course? Click here
Did you miss my Tips for Assignment 5? Click here
If you are taking the course by Distance/Online (Sections D01, D02, etc.), click here for my tips for your Assignment 6.
If you are taking the course by classroom lecture (Sections A01, A02, etc.), click here for my tips for your Assignment 6.
You need to continue studying Lesson 8: Confidence Intervals for the Mean and Lesson 9: Hypothesis Testing for the Mean. You also need to study Lesson 10: Inferences for Two Means (only in the current edition of Grant's Tutoring Basic Stats 1) and Lesson 11: Inferences about Proportions (formerly Lesson 10 if you have an older edition).
Question 1: You will use t to construct the confidence interval for the mean, and test the hypothesis for the mean in this question. Do you understand why you should use t, instead of z? Because you are not given σ, the standard deviation of the population. You are only given s, the sample standard deviation. Look at my question 14 in Lesson 9 to understand what they are getting at in part (b) and look at question 13(d) in the same lesson to understand what they are getting at in part (d).
Question 2: Very similar to question 1. Of course, you can use the Stat Mode in your calculator to compute the mean and standard deviation of the given sample. Look at my question 1(b) in Lesson 8 for an example of how to interpret a confidence interval for the mean.
Question 3: This is a Matched Pairs problem. Can you understand why? Be sure to study Lesson 10 in my new book before you proceed to do this and the next few questions. Those of you with an older edition of my book will see that I teach Matched Pairs at the end of Lesson 9.
This is paired data because each plot is getting both treatments (Sundance and Manitou). We can only use the matched pairs t method for a sample this small if we can assume the differences for each pair are normally distributed. Of course, we also need the data to have been collected in a reliable way, using randomization and all other statistical principles to avoid bias.
Question 4: This is just a hypothesis test for a mean using t. Lesson 9 stuff. Make sure you are using the correct information (High School study time)
Study Lesson 3: Designing Samples and Experiments in the current edition of my book, if you have it, to prepare for this assignment. Note that, in older editions of my study book, this was Lesson 4.
Thankfully, there is no JMP needed for this stuff.
Question 1
Good luck guessing the exact word they want. Note that sometimes it will be more than one word you have to put in the blank.
Question 2
Note non-response rate is just
the total number of non-responses divided by the total number of emails
sent out. Response rate would be the total number of responses divided
by the total number of emails sent out. These rates could be changed
into percentages but the question wants them left as decimals.
Question 3
You will need Table B to help answer this question. That is in the textbook or can be downloaded from the
resources section of Stats Portal. Here is a link where you can
download the table immediately, if you prefer:
When they ask in part a, "how
would you assign labels?" they merely mean what numbers would you assign
to the units (such as 001 to whatever). I don't think you have to
explain how you would actually put the numbers on the units. Paint them
on? Tie them on with a ribbon? Brand them on? Doesn't matter. The key is how large a population are you dealing with. The largest number in the population dictates how you will assign numbers (labels).
Question 4
When they ask you what the number in bold is, all they want you to say is that it is either a parameter or a statistic. I define what those two things are at the start of Lesson 4 in my study book (lesson 2 if you have an older edition). Parameters are for populations, statistics are for samples.
Question 5
A sample survey is just that, a survey where you are asked to answer a bunch of questions. I tell you what experiments and observational studies are in Lesson 3.