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Statistics Class 10 Notes Maths Chapter 13

Mean [Average]

Mean [Ungrouped Data] – Mean of n observations, x1, x2, x3 … xn, is
Mean [Average]

Mean [Grouped Data]

The mean for grouped data can be found by the following three methods:

Mean [Grouped Data]1. Direct Mean Method

Step 1: Classify the data into intervals and find the corresponding frequency of each class.

Step 2: Find the class mark by taking the midpoint of the upper and lower class limits.

Step 3: Tabulate the product of the class mark and its corresponding frequency for each class. Calculate their sum (∑xifi)).

Step 4: Divide the above sum by the sum of frequencies (∑fi) to get the mean.

The formula to find the mean using the direct method is:

 Mean [Grouped Data]
Class Mark = Mean [Grouped Data]

Note: Frequency of a class is centred at its mid-point called class mark.

2. Assumed Mean Method

Step 1: Classify the data into intervals and find the corresponding frequency of each class.

Step 2: Find the class mark by taking the midpoint of the upper and lower class limits.

Step 3: Take one of the xi’s (usually one in the middle) as the assumed mean and denote it by ′a′.

Step 4: Find the deviation of ′a′ from each of the x′is

di=xi−a

Step 5: Find the mean of the deviations

2. Assumed Mean Method

Step 6:  Calculate the mean as

2. Assumed Mean Method
…[where di = (xi – a)]

Question for Short Notes: Statistics
Try yourself:What is the formula to find the mean using the direct method for grouped data?
View Solution

3. Step Deviation Method

Step 1: Classify the data into intervals and find the corresponding frequency of each class.

Step 2: Find the class mark by taking the midpoint of the upper and lower class limits.

Step 3: Take one of the x′is (usually one in the middle) as the assumed mean and denote it by ′a′.

Step 4: Find the deviation of a from each of the x′is

di=xi−a

Step 5: Divide all deviations −di by the class width (h) to get u′is.

3. Step Deviation Method

Step 6: Find the mean of u′is

3. Step Deviation Method

Step 7:  Calculate the mean as

3. Step Deviation Method
….. [where 3. Step Deviation Method, where h is a common divisor of di] 

Median

Median of a grouped set of data is calculated as:

Median

where    

‘l’ is the lower limit of the median class

‘n’ is the number of observations

‘cf’ is the class preceding the median class

‘f’ is the frequency of median class

‘h’ is the class size

Median class is the class which has the cf value nearer to 2/n

Question for Short Notes: Statistics
Try yourself:Which method is used to calculate the mean for grouped data by taking one of the xi's (usually one in the middle) as the assumed mean and finding the mean of the deviations?
View Solution

Mode

1. Ungrouped Data: The value of the observation having maximum frequency is the mode.
2.  Grouped Data:
Mode
…where[l = Lower limit of modal class; f1 = Frequency of modal class; f0 = Frequency of the class preceding the modal class; f2 = Frequency of the class succeeding the modal class; h = Size of class interval. c.f. = Cumulative frequency of preceding class; h = Class size]

Note: Mode = 3 Median – 2 Mean

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FAQs on Statistics Class 10 Notes Maths Chapter 13

1. What is the formula for calculating the mean (average) of a set of numbers?
Ans. The mean (average) is calculated by adding all the numbers in the dataset and then dividing the sum by the total number of values. The formula is: Mean = (Sum of all values) / (Number of values).
2. How do you calculate the mean for grouped data?
Ans. To calculate the mean for grouped data, you first need to find the midpoint for each group (class interval), then multiply each midpoint by the frequency of the group to get the total for all groups. Finally, sum these totals and divide by the total frequency. The formula is: Mean = (Σ(frequency × midpoint)) / (Total frequency).
3. What is the difference between the median and the mean?
Ans. The median is the middle value of a dataset when the numbers are arranged in ascending or descending order, while the mean is the average of all the values. The median is less affected by extreme values (outliers) compared to the mean.
4. How is the mode defined in statistics?
Ans. The mode is the value that appears most frequently in a dataset. A dataset can have one mode (unimodal), more than one mode (bimodal or multimodal), or no mode at all if all values occur with the same frequency.
5. Why is it important to understand measures of central tendency like mean, median, and mode?
Ans. Understanding measures of central tendency is essential because they provide a summary of a dataset and help to understand its overall behavior. They are used to compare different datasets, identify trends, and make informed decisions based on statistical analysis.
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