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If it is a discrete variable, then 31 - 25 = 6

If it is continuous then 31.5 - 24.5 = 7

Q: How can you find size of class interval 25-31?

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The class interval for each interval is the difference between its upper limit and its lower limit.

basically this is an exampleAGE (YEARS) FREQUENCY FREQUENCY DENSITYFD= Frequency DensityAge : 0

In general, the confidence interval (CI) is reduced as the sample size is increased. See related link.

Accidentals DON'T alter the numeric size of intervals.

The linear function changes by an amount which is directly proportional to the size of the interval. The exponential changes by an amount which is proportional to the area underneath the curve. In the latter case, the change is approximately equal to the size of the interval multiplied by the average value of the function over the interval.

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The class interval for each interval is the difference between its upper limit and its lower limit.

Step 1: Find the midpoint of each interval. Step 2: Multiply the frequency of each interval by its mid-point. Step 3: Get the sum of all the frequencies (f) and the sum of all the fx. Divide 'sum of fx' by 'sum of f ' to get the mean. Determine the class boundaries by subtracting 0.5 from the lower class limit and by adding 0.5 to the upper class limit. Draw a tally mark next to each class for each value that is contained within that class. Count the tally marks to determine the frequency of each class. What is this? The class interval is the difference between the upper class limit and the lower class limit. For example, the size of the class interval for the first class is 30 – 21 = 9. Similarly, the size of the class interval for the second class is 40 – 31 = 9.

highest value-lowest value/number of classes

Because median is the mid of the class intervals. Therefore, it is a positional measurement. Hence, if the size of class interval increases or decreases then the middle position will also increase or decrease and thus median.

basically this is an exampleAGE (YEARS) FREQUENCY FREQUENCY DENSITYFD= Frequency DensityAge : 0

The confidence interval becomes smaller.

Acceleration can be calculated by dividing the change in velocity by the time taken to make that change. The formula for acceleration is: acceleration = (final velocity - initial velocity) / time. Acceleration is a vector quantity, meaning it has both magnitude and direction.

Assuming that you know the population size, N, and that you are confident that the sample size, n, you have chosen is adequate, then the skip interval is ~n/N. For example, if the populaton size if 998 and you reckon that you need a sample size of 20 then the skip interval would be 50.

Class mark = (10.5 + 17.5)/2 = 14Class mark = (10.5 + 17.5)/2 = 14Class mark = (10.5 + 17.5)/2 = 14Class mark = (10.5 + 17.5)/2 = 14

It will decrease too. * * * * * If it is the confidence interval it will NOT decrease, but will increase.

The width of the confidence interval increases.

No of Observation = 45Higest value = $29Lowest Value = $0K = ?i = ?a) 1st we find out KK= 2x2x2x2x2x2 =2^6Xlasses = 6b) find out (i) = H-L/K = 29-0/6 = 29/6i= 4.833