MAT 133 - Ch 2 Project #2 – Exploring Histograms with Stat Crunch (built from Activity Workbook - pg 17-18) PDF

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MAT 133 - Ch 2 Project #2 – Exploring Histograms with Stat Crunch (built from Activity Workbook - pg 17-18)...

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MAT 133 - Ch 2 Project #2 – Exploring Histograms with StatCrunch (built from Activity Workbook - pg 17-18) Your Name: ___Kaitlyn Grier_____________ Answer the questions in the boxes. After completion, save this whole document including your name in the file name. Upload to JetNet either as a PDF file or as a WORD file. Part 1: Choose a Data Set Find a publicly available data set on StatCrunch that is interesting to you. Your data set needs to have at least one quantitative variable with a lot of numbers and variability. 1a. What data set did you choose? MAT133.I1 Project Student Survey (FA20)

1b. Choose a quantitative variable from the data set that you would like to explore. Variable Selected: How many siblings do you have?

Part 2: Make a histogram 2a. With your data set open in the StatCrunch spreadsheet, open the Histogram with Sliders Applet by selecting Applets > Histogram with Sliders. 2b. Choose your variable when asked to select a column. 2c. Select Compute! . Part 3: Explore the effect of changing the starting point for the histogram

3a.  The Starting  point on the histogram applet is the __variable____ for the frequency distribution. 3b. Place your mouse cursor on the Starting pointslider. Change the starting point while watching the effect this has on the histogram. 3c. By changing the starting point, make at least two histograms that have very different shapes. Paste the histograms below and resize them to fit on the page. Histogram #1:

Histogram #2:

Comment on the shape that  each histogram implies for the distribution for your variable. The first histogram starts at zero because the starting point is zero. However, since the second histogram starts at -1.45 it moves over to the left to show that the starting point is now different.

Part 4: Explore the effect of changing the bin width for the histogram 4a.  The Bin  width on the histogram applet is the _class width____ for the frequency distribution. 4b. Place your mouse cursor on the Bin width slider. Change the bin width while watching the effect this has on the histogram. 4c. By changing the bin width, make at least two histograms that have very different shapes. Paste the histograms below and resize them to fit on the page.

Histogram #1:

Histogram #2:

Comment on the shape that  each histogram implies for the distribution for your variable. For the first histogram it’s showing that if the bin width of the graph is at 0.05 the bars are going to be much wider. For the second histogram It is showing the bars more spaced out and less wide because the bin width is 0.75.

Part 5: Make a histogram that represents the data well and a histogram that does not 5a.  By changing the starting point and the bin width, make a histogram that you think represents the distribution of your selected variable well. Paste the histogram below and resize it to fit on the page. Histogram 5a:

Comment 5a: Why is this a good histogram for your selected variable? What is its shape? This is a good histogram for my data because you can read it very easily and you can tell how many students in the class have how many siblings. The shape of the graph is skewed right. 5b.  By changing the starting point and the bin width, make a histogram that you think does NOT represent the distribution of your selected variable well. Paste the histogram below and resize it to fit on the page.

Histogram 5b:

Comment 5b: Comment on why this is not a good histogram for your selected variable. This is not a good histogram because not only are the bars spaced out more making it hard to understand the data but also because the bar the represents zero starts before zero so it looks like some students may have negative 1.2 siblings which is not possible....