The focus of this homework is to practice using our calculator to create histograms and boxplots--so do that! Do not do this entirely "by hand!" If you need more guidance than the steps below provide, do some Googling! We have to figure out and get comfortable with all this calculator stuff!
- For each context (Wayne Gretzky, EHHS Boys BBall) create a histogram using your graphing calculator...
- First, enter the data (probably in L1, but could be in another list)
- I would next calculate the 1 Var Stats to see the max and min
- Use this max/min info to determine what you should "start at, end at, and count by"
- Draw your axes and label them in words and numbers
- Now, let's get back to the calculator
- Next, go to your "Stat Plot" menu, and choose a plot...
- Turn that plot on, choose a histogram
- XList = where you typed your data (probably L1)
- Freq = 1 (b/c we typed each data value in individually, or once)
- If we press ZoomStat (Zoom #9) we will see a histogram, but when we press trace we can see that the calculator starts at a weird value and uses a weird x-scale--we don't want that, so we have to set up our window
- Press Window--now, look at the axes you have labeled in numbers--fill in the values for xmin, xmax, xscl, ymin, ymax, yscl
- Press graph
- Press the TRACE button to see the interval for the bin (look at your cursor to see which bin is highlighted), and the n value on the bottom right tells you the frequency or height of that bin
- Use this feature to translate the bins and their heights onto your paper
- Now, create a boxplot, and draw this above your histogram
- Go to your Stat Plot, choose another plot, and turn it on
- Be sure to (always) select the boxplot that shows outliers
- For a boxplot we do not have bins that have to align with specific x-values, so we can just use ZoomStat (Zoom, #9)
- Press trace to see the values of any outliers, where the arms reach, and where Q1, Med, and Q3 are for "the box"
- Translate this info onto your paper to draw the boxplot
- For practice, show the work for the fences--that's how we prove if there are/are not outliers (you'll have to do this on your test eventually)
Repeat this process for both data sets!
Do not do any of the "Describe the distribution" stuff at the bottom! We'll start to learn this next week, and we'll come back to these histograms and use them as our classwork examples/notes when we start to learn how to describe distributions.
If you haven't yet, sign up for Remind! There are only 10ish people left to sign up!
- This will be a major tool we use for class announcements and communication; students can message one another or message me directly with questions!
- If you have a phone it is required that you have Remind for our class...
- Download the free Remind app
- Enter the class code: @ehapstat
- Or, if you prefer not to use the app (or can't), text @ehapstat to 81010
And lastly, remember we have a "Chapter 2 Quiz" next Wednesday! The quiz will have two parts; you will have about 15 minutes:
- Analyze a context (like last night's hw)
- Chapter 2 Vocab (multiple choice)
- Data
- Categorical Data/Categorical Variable
- Quantitative Data/Quantitative Variable
- Relative
- statistic (with the lower-case s)
- Response Variable
- What statistics are used with quantitative data?
- What statistic is used to summarize categorical data?
- What graphical displays are used for quantitative data?
- What graphical displays are used for categorical data?
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