Math, asked by TYJT, 1 month ago

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Answered by shamulailatpamdeepas
4

Answer:

sorry i can't write this answer because i write your answer and you delete this question

Answered by pruthaasl
0

Answer:

The range, average deviation, standard deviation, and variance for the given data are 24, 7.10, 8.03, and 64.4809 respectively.

Range:

  • The range of a given set of data is the difference between the highest value and the lowest value present in the data.
  • Range=Highest value - Lowest value
  • It gives an idea about the spread of values in the data.

Average Deviation:

  • Average deviation is the deviation of each value in the data from the mean value.
  • It is given as a summation of all the deviations divided by the total number of values in the data.
  • AverageDeviation=\frac{1}{n}|x_{i}-Mean|, where n is the total number of values, x_{i} is each value with i=1 to n.
  • It is used for characterizing dispersion.

Standard Deviation:

  • Standard deviation gives a measure of the variation or dispersion of the data relative to the mean or expected value of the data.
  • It tells how spread out the data is.
  • Standard deviation is the square root of the variance.
  • S=\sqrt{\frac{sum(x_{i}-Mean)^{2}  }{n} }

Variance:

  • Variance gives the measure of the spread between the numbers in a data.
  • It measures how far each value in the data is from the mean and every other value in the data.
  • It is a measure of variability.
  • S^{2} =\frac{sum(x_{i}-Mean)^{2}  }{n}

Step-by-step explanation:

Step 1: Range

Range = Highest Value-Lowest Value

Range = 71-47

Range =24

Step 2: Average Deviation

Average Deviation = \frac{1}{n}|x_{i}-Mean|

Using the values calculated in the table,

Average Deviation=\frac{49.71}{7}

Average Deviation=7.10

Step 3: Standard Deviation

S=\sqrt{\frac{sum(x_{i}-Mean)^{2}  }{n} }

Using values calculated in the table,

S=\sqrt{\frac{451.4287}{7} }

S=\sqrt{64.4898}

S=8.03

Step 4: Variance

S^{2} =\frac{sum(x_{i}-Mean)^{2}  }{n}

Using values calculated in the table,

S^{2} =\frac{451.4287}{7}

S^{2}=64.4898

Therefore, the range is 24, the average deviation is 7.10, the standard deviation is 8.03, and the variance is 64.4898

#SPJ3

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