stat10010lab3.pdf

# 4 constructing a histogram often we get a better

• Lab Report
• 5

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4. Constructing a histogram. Often we get a better picture of the shape of a data set by looking at the histogram of the data. To plot a histogram of the Otis scores go to Graph -> Histogram and choose the Simple option. Again put the Otis variable in the Graph variables box. Click the Labels box and give your plot a title. Q4: How would you describe the shape of the Otis variable? Note that it is easy to insert the output you get in Minitab into a report in Microsoft Word, say. Click on the resulting histogram, go to Edit -> Copy Graph. Open a blank Microsoft Word document, go to Edit -> Paste. 5. Calculate a five number summary for a data set. In class we learned that computing a five number summary is a useful way on summarising a data set. Let’s get Minitab to do this work for us. From the last lab you should recall how to get some basic descriptive statistics for a data set. Go to Stat -> Basic Statistics -> Display Descriptive Statistics. Put the Cartoon1 and Cartoon2 variables in the Variables box. Click the Statistics box and check only those statistics which make up the five number summary. Q5: Which statistics make up the five number summary?

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When you then click Ok the five number summary for the two variables should appear in the session window. Q6: How would you describe the distribution of the Cartoon1 scores compared to the Cartoon2 scores? Questions like question 6 are often easier to answer by examining the data pictorially. A good way to illustrate a five number summary is via a box-and-whisker plot. 6. Construct a box-and-whisker plot. Let’s treat the Real1 and Real2 scores as numerical data and compare them using a box-and- whisker plot. Go to Graph->Boxplot. Choose the Simple option in the Multiple Y’s case. Place Real1 and Real2 in the Graph variables box. Click Labels and put a label on your plot. Q7: Did participants do better at correctly identifying the roles from the realistic pictures immediately after viewing the lecture slides or four weeks later?
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• Fall '17
• Statistics, Statistical charts and diagrams, Categorical distribution

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