Histogram<\/h4>\n
Pull down the Analyze<\/b> menu, choose Graphs and Plots<\/strong>,\u00a0and then choose Create a Histogram<\/b>. You will be presented with a simple user dialog to select your variable:<\/p>\n Move your variable to the “Test Variable” box and press “Plot.”\u00a0 Your histogram will display in an interactive window that allows you to modify the image to fit your needs.\u00a0 Make sure to change the title to be more descriptive. You will see that the default\/starting histogram has 10 bins to start with, and these align nicely with your needs as an instructor: 55 to 59, 60 to 64, and so on.\u00a0 Explore the image and plot options — you can increase or decrease the number of bins, rescale the X axis, and change the title and labels. If you didn’t specify a custom title and axis labels for your histogram, you should add those now.\u00a0 When you are finished, you can save your histogram to a file, or copy it to your clipboard and paste it into another document.<\/p>\n Pull down the Analyze<\/b> menu, choose Graphs and Plots<\/strong>,\u00a0and then choose Draw Box Plots and CIs<\/strong>. \u00a0You will be presented with a simple dialog:<\/p>\n Choose your variable and click\u00a0Compute<\/strong>. \u00a0You will be presented with an interactive graphical box plot:<\/p>\n You should always think about how to change the title, labels, and scale to improve on your plot. \u00a0I changed these things and ended up with:<\/p>\n You can also display a 95% or 99% confidence interval. \u00a0This is especially useful when you have more than one variable. \u00a0For example, here are the CIs from the results of the two independent samples T test<\/a> problem:<\/p>\n Pull down the Analyze<\/b> menu, choose Graphs and Plots<\/strong>,\u00a0and then choose Create a Stem-and-Leaf Plot<\/strong>. \u00a0You will be presented with a simple dialog to choose your variable. \u00a0Select your variable and click Compute<\/strong>. \u00a0Now, you will be presented with an interactive plot:<\/p>\n Your options are found in the buttons on the right. \u00a0Click Change Title<\/strong> and make the title more descritpive, click More Stems<\/strong> once, and then click\u00a0Send to Output<\/strong>. \u00a0Here is the output:<\/p>\n The stem-and-leaf plot can also display data from two variables.\u00a0 These ‘back-to-back’ stem-and leaf plots can be very useful for comparing variables.\u00a0 Here is an example:<\/p>\n Here is the normal probability plot of the data we used to illustrate the explore data<\/a> procedure:<\/p>\n I’ve changed the title an added the Q1-Q3 line to the plot.\u00a0 As you can see, this is quite useful at illustrating the outlier score of 48.<\/p>\n Here is the bar chart for the frequency data used to illustrate the goodness-of-fit test<\/a>:<\/p>\n Whenever you are working with bivariate data, you should always get a scatterplot of your data. \u00a0Here is the scatterplot that is produced in from the data used to illustrate the correlation procedure<\/a>. \u00a0This graph can also be created if you pull down the\u00a0Analyze Menu<\/strong>, choose\u00a0Charts and Graphs<\/strong>, and then choose\u00a0Draw a Scatter Plot<\/strong>:<\/p>\n Typically, never settle for the default output. \u00a0Take time to improve your plot. \u00a0Here, I have changed the title, changed the scale of both axes, added a regression line, and changed the markers:<\/p>\n Another option for this chart is to draw a residual plot. \u00a0This is quite valuable when you are working with a regression<\/a> problem.<\/p>\n Here is the bar chart displaying the frequencies used to illustrate the contingency test<\/a>:<\/p>\n![\"\"](\"https:\/\/sites.berry.edu\/vbissonnette\/wp-content\/uploads\/sites\/21\/2017\/11\/plot1.png\")
<\/a><\/p>\n<\/a><\/p>\nBox Plot<\/h4>\n
<\/a><\/p>\n<\/a><\/p>\n<\/a><\/p>\n<\/a><\/p>\nStem-And-Leaf Plot<\/h4>\n
<\/a><\/p>\n<\/a>You can experiment with the options until you get a plot that best illustrates your data.<\/p>\n<\/a><\/p>\nNormal Probability Plot<\/h4>\n
<\/a><\/p>\nBar Chart<\/h4>\n
<\/a><\/p>\nBivariate \u00a0Plots<\/h3>\n
<\/a><\/p>\n<\/a><\/p>\n<\/a><\/p>\nTwo-Variable Bar Chart<\/h4>\n