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For a frequency distribution 7th decile ...

For a frequency distribution 7th decile is computed by the formula

A

`D_(7) =l+ ((n)/(7)-c))/(f) xx i`

B

`D_(7)=l+((n)/(10)-c))/(f) xx i`

C

`D_(7)=l+((7n)/(10)-c))/(f) xx i`

D

`D_(7) =l+((10n)/(7)-c))/(f) xx i`

Text Solution

AI Generated Solution

The correct Answer is:
To compute the 7th decile (D7) for a frequency distribution, we can use the following steps: ### Step 1: Understand the concept of deciles Deciles are values that divide a dataset into ten equal parts. The 7th decile (D7) is the value below which 70% of the data falls. ### Step 2: Identify the formula for the nth decile The formula for calculating the nth decile (Dn) in a frequency distribution is given by: \[ D_n = L + \left( \frac{N \cdot n}{10} - C \right) \cdot \frac{I}{f} \] Where: - \( L \) = lower limit of the class containing the nth decile - \( N \) = total number of observations - \( n \) = the decile number (for D7, \( n = 7 \)) - \( C \) = cumulative frequency of the class preceding the class containing the nth decile - \( I \) = width of the class interval - \( f \) = frequency of the class containing the nth decile ### Step 3: Substitute the values for D7 For the 7th decile (D7), we substitute \( n = 7 \) into the formula: \[ D_7 = L + \left( \frac{N \cdot 7}{10} - C \right) \cdot \frac{I}{f} \] ### Step 4: Calculate the values To calculate D7, you will need the following: - The lower limit \( L \) of the class containing D7 - The total number of observations \( N \) - The cumulative frequency \( C \) of the class preceding the class containing D7 - The width of the class interval \( I \) - The frequency \( f \) of the class containing D7 Once you have these values, you can plug them into the formula to find D7. ### Step 5: Conclusion Thus, the formula for calculating the 7th decile in a frequency distribution is: \[ D_7 = L + \left( \frac{N \cdot 7}{10} - C \right) \cdot \frac{I}{f} \]
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Knowledge Check

  • For a frequency distribution lower quartile is computed by

    A
    `Q_(1)=l+(N/4-C)/(f) xxi`
    B
    `Q_(1)=l+((N/2)-C)/(f)xx i`
    C
    `Q_(1)=l+((3N)/(4)-C))/(f) xx i`
    D
    `Q_(1)=l+((N-C))/(f) xx i`
  • For a frequency distribution standard deviation is computed by

    A
    `sigma=(Sigmaf(x-barx))/(Sigmaf)`
    B
    `sigma=sqrt(Sigmaf(x -barx)^2)/(Sigmaf)`
    C
    `sigma=sqrt((Sigmaf(x-barx)^2)/(Sigmaf))`
    D
    `sigma=sqrt((Sigma(x-barx))/(Sigmaf))`
  • For a frequency distribution the mean deviation about mean is computed by

    A
    M.D. `=(sum d_(1))/(sum f_(i))`
    B
    `M.D. =(sum f_(i)d_(i))/(sum f_(i))`
    C
    `M.D.=(sum f_(i) |d_(i)|)/(sum f_(i))`
    D
    `M.D.=(sum f_(i))/(sum f_(i) |d_(i)|)`
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