Math, asked by sapnajain14443, 3 months ago

- The mean of five numbers is 10. The mean of other five numbers is 12. Find the mean of all the numbers. *​

Answers

Answered by abhi569
2

Answer:

11

Step-by-step explanation:

Mean = sum/no. of given observations.

Here, mean of first five numbers:

=> 10 = (sum of five numbers)/5

=> 50 = sum of five numbers.

Similarly, sum of other five numbers is 12 x 5 = 60.

Now, all together,

=> sum of numbers = 50 + 60 = 110

=> total numbers = 5+5 = 10

Therefore,

Mean of 10 numbers = 110/10 = 11

Answered by anindyaadhikari13
4

Required Answer:-

Given:

  • The mean of 5 numbers is 10.
  • The mean of other 5 numbers is 12.

To find:

  • Mean of all the numbers.

Answer:

  • The mean of all the numbers is 11.

Solution:

Given that,

Mean of 5 numbers = 10

So, Total of 5 numbers,

= 5 × 10

= 50

Again,

Mean of other 5 numbers = 12

So, Total of 5 numbers,

= 12 × 5

= 60

Sum of all the numbers

= 50 + 60

= 110

Total observations whose sum is 110

= 10

So, mean = Sum of numbers/Total number of observations

= 110/10

= 11

➡ Hence, the mean of 10 numbers is 11.

Learn More:

  • Mean: Mean of a number of observation is the sum of the values of all the observations divided by the total number of observations/variates.
  • Median: Median is the central value (or middle observation) of a statistical data arranged in either ascending order or descending order.
  • Mode: Mode of any given data is the value that occurs most often.

Formula for mean and median:

For mean,

The mean of n observations x_{1}, x_{2}, x_{3},...x_{n} is given by

 \sf   Mean =  \frac{ x_{1} + x_{2} + ...x_{n} }{n}  =   \frac{ \sum x_{i}}{n}

Where,

 \sf \sum x_{i} = x_{1} + x_{2} + ...x _{n}

For median,

If number of observations is odd then,

 \sf \small Median = \big ( \frac{n + 1}{2}  \big) \small th \: observation

If the number of observations is even then,

 \sf \small Median =  \frac{1}{2} \bigg \{ \big ( \frac{n }{2}  \big) \small th \: term +   \big(\frac{n}{2}  + 1 \big)th \: term \bigg \}

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