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Activity2.old - Stat 401 Lab Activity 1 Wednesday, October...

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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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Activity2.old - Stat 401 Lab Activity 1 Wednesday, October...

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