Open the data file or the worksheet HeatBill.MTW. Table 2C.2 Constructing a Default Histogram To construct a default histogram, follow the instructions in Table 2C.2.
Note that if you click on the box before Descending and then click OK, the values will be sorted in descending order. The values in column C1 (Heating Bill) will be sorted in ascending order and stored in column C2. (Do not check the Descending box if you want to sort the data in increasing order) Store sorted data in →Ĭlick the circle to the left of columns(s) of current worksheet and type a column where you want to store the sorted data (for example, C2) Click OK. When the dialog box appears, type in or select the following response: To sort the data in column C1, use the following command sequence: This range will be needed for constructing a custom histogram. By sorting the data we will know the maximum and minimum values of the data. The heat bill data will be displayed in column C1 of the data window.Ĥ.Sort the data in column C1. When the dialog box appears, type Heat Bill in the File name box and click OPEN, or double click on C1 or Heat Bill from the left pane. The worksheet will be saved as HeatBill.MTWģ.If you have the data stored in a file, use the following command sequence to open the file: Type Heat Bill for the file name and save your data Make sure you type all 120 values in column C1.Ģ.Once the data are entered, select the following command sequence from the main menu: To create a data file in MINITAB, type the data in Table 2C.1 in column C1 of the MINITAB worksheet. MTW that contains the data or create a data file. We will explore these and some other options in this section.ġ.You may open the file Heating Bill. MINITAB provides several options for constructing histograms.
From a histogram we can discover:ġ.the shape of the distribution, i.e., if the shape is symmetrical or skewed Ģ.the variability of the data, i.e., if the data have large or small variation andģ.the concentration of the data, i.e., which intervals or classes have more values in them. A histogram helps us to see several characteristics of the data.
Generate an online stem and leaf plot, or stemplot, and calculate basic descriptive statistics for a sample data set with 4 or more values and up to 1000 values, all non-negative.