Uh how do i make histogram??

Classes or Bins

Before we draw our histogram, there are some preliminaries that we must do. The initial step involves some basic summary statistics from our data set.  

First, we find the highest and lowest data value in the set of data. From these numbers, the range can be computed by subtracting the minimum value from the maximum value. We next use the range to determine the width of our classes. There is no set rule, but as a rough guide, the range should be divided by five for small sets of data and 20 for larger sets. These numbers will give a class width or bin width. We may need to round this number and/or use some common sense.

Once the class width is determined, we choose a class that will include the minimum data value. We then use our class width to produce subsequent classes, stopping when we have produced a class that includes the maximum data value.

Frequency Tables

Now that we have determined our classes, the next step is to make a table of frequencies. Begin with a column that lists the classes in increasing order. The next column should have a tally for each of the classes. The third column is for the count or frequency of data in each class. The final column is for the relative frequency of each class. This indicates what proportion of the data is in that particular class.

Drawing the Histogram

Now that we have organized our data by classes, we are ready to draw our histogram.

Draw a horizontal line. This will be where we denote our classes.

Place evenly spaced marks along this line that correspond to the classes.

Label the marks so that the scale is clear and give a name to the horizontal axis.

Draw a vertical line just to the left of the lowest class.

Choose a scale for the vertical axis that will accommodate the class with the highest frequency.

Label the marks so that the scale is clear and give a name to the vertical axis.

Construct bars for each class. The height of each bar should correspond to the frequency of the class at the base of the bar. We can also use relative frequencies for the heights of our bars.

Step-by-step explanation:

To make a histogram, follow these steps:

What does a histogram mean?

Histograms are equivalent to bar charts; they are a means for data counts to be displayed. Real counts against categories are seen in a bar graph; the bar height represents the number of objects in that category. In "bins", a histogram reveals the same categorical variables.

Create a Histogram: Stages for Steps

Sample question: With the following test scores, construct a histogram: 99, 97, 94, 88, 84, 81, 80, 77, 71, 25.

Phase 1: Diagram the x and y axes and label them. The x-axis would be labelled "score" for this case, and the y-axis would be labelled "relative percentage of frequency ."

Phase 2: Pick the number of bins (in statistics, how to choose bin sizes) and mark your graph. Query, Grou, Grou, for this sample,It's a smart option for groups of 10 (the x-axis values are the bins) (it looks like you'll have 5 bars of one or two objects in the group).

Step 3: To get an indication of where to put the frequency "ticks," divide 100 by the number of data points. In our data collection, we have 10 objects, so it makes sense to count 100/10 = 10 percent (one item would equal 10 percent of the total).

Build a histogram

Step 4: Count how many objects are in each bin and then outline a rectangle corresponding to the percentage of the total filled by the bin on the graph. The first bin (20-30) has 1 object in this sample data package, with 70-80 getting two items. When an object lands on a bin boundary (i.e. 80), bring it up in the next bin (80 will go to 80-90)

(hope this helps can i plz have brainlist :D hehe)

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step-by-step explanation:

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step-by-step explanation: