Quiz #3: Take-home quiz due Sunday

Quiz #3 is a take-home quiz due Sunday; I uploaded the pdf to Files yesterday, and also discussed it during yesterday’s Blackboard Collaborate class session.

It could be useful to review yesterday’s Blackboard Collaborate recording and/or Exam #1, since the quiz is about the probability experiment of flipping a coin 4 times in a row. During the Blackboard class session we discussed the similar experiment of flipping a coin 3 times in a row. There was also an exercise about it on Exam #1.

As I discussed, if you have access to a printer you can print out the quiz and write your solutions on that. Alternatively, you can write your solutions on separate pieces of paper. You don’t have to rewrite the statements of the exercises, but please number your solutions and write them in order (i.e., from #1 – #5).

After you have completed writing out your solutions:

  • scan your solutions to a pdf file using your phone or a tablet
    • there are a number of free apps that will allow you to scan to a pdf, such Adobe Scan or Genius Scan (those two plus a few others are discussed in this tech review)
    • if you have the Google Drive app on your phone, you can use that to scan to a pdf that will be uploaded to your Google Drive
  • upload the pdf to Blackboard: I have created a Blackboard Assignment for this quiz where you can submit your pdf
    • go to the “Content” section to find the assignment and submit by attaching your pdf.

Email me if you have any questions! I will also have office hours tomorrow via Blackboard Collaborate if you have questions.

Quiz #2 / “HW4-Paired Data”

We will have a quiz (Quiz #2) tomorrow (Wednesday, Feb 26). The quiz will be a simple exercise involving generating a scatterplot and calculating the correlation coefficient (using the spreadsheet command =correl) for a  given paired data set.

To prepare for the quiz, review the class outline on those topics and also review the exercises from “HW4-Paired Data” on scatterplots and the correlation coefficient (exercises #6, 9, 10, 13, 14, 19, 22):

  • you can use the built-in spreadsheet function =correl to calculate the correlation coefficient for #6, 19, and 22
  • #19 and #22 ask for additional statistics related to linear regression–those won’t be covered on tomorrow’s quiz

Here are additional notes and hints on “HW4-Paired Data” (which is due Mon March 2)

  • #1-2, 5 (review of equations of lines, independent/dependent variables)
    • recall that if we have y given as a function of x, we call x the independent variable, and y the dependent variable
    • especially in the context of linear regression, where we get a linear function (or “linear model”)  y = α + βx that seeks to explain the y-variable in terms of the x-variable, then x is sometimes called the explanatory or input variable, and y is called the response or output variable
  • #3, 4, 20, 21, 22 (linear regression)
    • for #3 and 22, use the built-in spreadsheet functions =slope(y_data, x_data) and =intercept(y_data, x_data) to find the “least squares line” (i.e., the linear regression line y = α + βx, where α is the y-intercept and β is the slope
  • #7, 8, 17, 19 ask about the “coefficient of determination”