Range= Upper Limit of the Highest Class Interval – Lower Limit of the Lowest Class Interval. Method 2 : Range is the difference of the mid value of the highest class and that of the lowest class. Range= Mid-Value of the Highest Class Interval – Mid-Value of the Lowest Class Interval.

One of the main applications of definite integrals is to find the average value of a function y=f(x) over a specific interval [a,b]. In order to find this average value, one must integrate the function by using the Fundamental Theorem of Calculus and divide the answer by the length of the interval. ¯f=1b−ab∫af(x)dx.

To find the average value of a set of numbers, you just add the numbers and divide by the number of numbers.

The mean is the average of the numbers. It is easy to calculate: add up all the numbers, then divide by how many numbers there are. In other words it is the sum divided by the count.

Thus, the mode can be found by substituting the above values in the formula: Mode = L + h (fm−f1)(fm−f1)+(fm−f2) ( f m − f 1 ) ( f m − f 1 ) + ( f m − f 2 ) . Thus, Mode = 10 + 5 (7−3)(7−3)+(7−2) ( 7 − 3 ) ( 7 − 3 ) + ( 7 − 2 ) = 10 + 5 × 4/9 = 10 + 20/9 = 10 + 2.22 = 12.22.

The range of a set of numbers is the difference between the least number and the greatest number in the set. In this example, the greatest mass is 78 and the smallest mass is 48. The range of the masses is then 78 – 48 = 30. The scale of the frequency table must contain the range of masses.

To get started, put the numbers in order, then find the smallest and largest values in your data, and calculate the range (range = largest – smallest).

A frequency table organizes the data in three columns by displaying the intervals, a tally of the number of values within the interval, and a numerical value of the tally. A tally is a mark made to keep count of the number of values within the interval.

Example 1 – Constructing a frequency distribution table

1. Divide the results (x) into intervals, and then count the number of results in each interval.
2. Make a table with separate columns for the interval numbers (the number of cars per household), the tallied results, and the frequency of results in each interval.

The steps in grouping may be summarized as follows:

1. Decide on the number of classes.
2. Determine the range, i.e., the difference between the highest and lowest observations in the data.
3. Divide range by the number of classes to estimate approximate size of the interval (h).

Having your raw data properly formatted makes it quick and easy to organize in Excel.

1. Open your raw text file.
2. Save and close the data file.
3. Click the “Data” tab, and then click the “From Text” button in the Get External Data section on this tab.

To improve your data analysis skills and simplify your decisions, execute these five steps in your data analysis process:

1. Step 1: Define Your Questions.
2. Step 2: Set Clear Measurement Priorities.
3. Step 3: Collect Data.
4. Step 4: Analyze Data.
5. Step 5: Interpret Results.

Raw data (sometimes called source data, atomic data or primary data) is data that has not been processed for use. Although raw data has the potential to become “information,” it requires selective extraction, organization and sometimes analysis and formatting for presentation.

To sort rows to match another column, here is a formula can help you.

1. Select a blank cell next to the column you want to resort, for instance B1, and then enter this formula =MATCH(A1,C:C,FALSE), and drag autofill handle down to apply this formula.
2. And then a list of numbers are displaying in the formula cells.

To do this:

1. Select any cells in the row labels that have the sales value.
2. Go to Analyze –> Group –> Group Selection.
3. In the grouping dialog box, specify the Starting at, Ending at, and By values. In this case, By value is 250, which would create groups with an interval of 250.
4. Click OK.