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Unformatted text preview: Stat 401 Lab Activity 1 Wednesday, October 12, 2005 Part I. Data displays continued. Copy and paste the activity data (pie.data.txt and 3d.data.txt) into the first four columns of Minitab. 1) Pie Chart: Graph> Pie Chart>click on “Chart raw data”>enter pie.data>OK Type “maybe” in rows 20-24 of the pie.data column in Minitab and try the above sequence again. 2) Scatter Plot: Graph>Scatterplot>“Simple”> OK > enter “Y” for Y and “X1” for X > OK. 3) 3D Scatter Plot: Graph>3D Scatterplot>“Simple”> OK > enter “Y” for Z, “X1” for Y, and “X2” for X variable > OK Note that you can rotate the graph about each of the axes to achieve a better visual understanding of the relation between the variables. Play with some rotations. Alternatively, you can try Graph>3D Scatterplot>“Simple”> OK > enter “Y” for Z, “X1” for Y, and “X2” for X variable > Data View > check “Project lines”> OK > OK Part II. The Binomial Random Variable. In this activity we will learn how to generate random numbers from the binomial distribution. This will give us intuition into the kind of variability that we can expect the outcome of a binomial experiment to display. Recall that a binomial random variable equals the number of ‘ones’ in a series of n trials, each of which can result in ‘one’ or ‘zero’. 1. First we will generate a sample of size 50 from the binomial distribution that corresponds to n=10 trials with probability of 1 equal to p=0.5. (This simulates the situation where each of 50 people toss a coin 10 times and each records the number of heads of his/her tossing experiment.) Calc>Random Data>Binomial> Enter “50” into Generate; enter “C11” into Store in column(s); enter “10” into Number of trials; enter “0.5” into Probability success> OK Graph>Histogram>Simple>OK>enter “C11” into Graph variables>OK If we did not know that the data were generated correspond to probability of ‘one’...
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This note was uploaded on 01/11/2012 for the course STAT 401 taught by Professor Akritas during the Fall '00 term at Penn State.
- Fall '00