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Given sample data:x -1 0 1 4f 1 1 3 1The range is ;The sample variance is ;The sample standard deviation is .Round to two decimals.

Question

Given sample data:

x:1, 0, 1, 4, 1, 1, 3, 1 x: -1, \ 0, \ 1, \ 4, \ 1, \ 1, \ 3, \ 1

  • The range is
  • The sample variance is
  • The sample standard deviation is

Round to two decimals.

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Solution

1. Break Down the Problem

We need to calculate the following statistics based on the given sample data:

  1. The range
  2. The sample variance
  3. The sample standard deviation

2. Relevant Concepts

  1. Range: The range is calculated as the difference between the maximum and minimum values in the data set.
  2. Sample Variance: The sample variance s2 s^2 is calculated using the formula: s2=(xixˉ)2n1 s^2 = \frac{\sum (x_i - \bar{x})^2}{n - 1} where xˉ \bar{x} is the sample mean and n n is the number of observations.
  3. Sample Standard Deviation: The sample standard deviation s s is simply the square root of the sample variance: s=s2 s = \sqrt{s^2}

3. Analysis and Detail

Sample Data:

x=[1,0,1,4,1,1,3,1] x = [-1, 0, 1, 4, 1, 1, 3, 1]

  1. Calculate the Range:

    • Maximum =4 = 4
    • Minimum =1 = -1 Range=MaxMin=4(1)=5 \text{Range} = \text{Max} - \text{Min} = 4 - (-1) = 5
  2. Calculate the Sample Mean xˉ \bar{x} : xˉ=1+0+1+4+1+1+3+18=108=1.25 \bar{x} = \frac{-1 + 0 + 1 + 4 + 1 + 1 + 3 + 1}{8} = \frac{10}{8} = 1.25

  3. Calculate the Sample Variance s2 s^2 : s2=(xixˉ)2n1 s^2 = \frac{\sum (x_i - \bar{x})^2}{n - 1} Calculate each (xixˉ)2 (x_i - \bar{x})^2 :

    • For x1=1 x_1 = -1 : (11.25)2=(2.25)2=5.0625( -1 - 1.25 )^2 = (-2.25)^2 = 5.0625
    • For x2=0 x_2 = 0 : (01.25)2=(1.25)2=1.5625( 0 - 1.25 )^2 = (-1.25)^2 = 1.5625
    • For x3=1 x_3 = 1 : (11.25)2=(0.25)2=0.0625( 1 - 1.25 )^2 = (-0.25)^2 = 0.0625
    • For x4=4 x_4 = 4 : (41.25)2=(2.75)2=7.5625( 4 - 1.25 )^2 = (2.75)^2 = 7.5625
    • For x5=1 x_5 = 1 : (11.25)2=(0.25)2=0.0625( 1 - 1.25 )^2 = (-0.25)^2 = 0.0625
    • For x6=1 x_6 = 1 : (11.25)2=(0.25)2=0.0625( 1 - 1.25 )^2 = (-0.25)^2 = 0.0625
    • For x7=3 x_7 = 3 : (31.25)2=(1.75)2=3.0625( 3 - 1.25 )^2 = (1.75)^2 = 3.0625
    • For x8=1 x_8 = 1 : (11.25)2=(0.25)2=0.0625( 1 - 1.25 )^2 = (-0.25)^2 = 0.0625

    Summing these values: (xixˉ)2=5.0625+1.5625+0.0625+7.5625+0.0625+0.0625+3.0625+0.0625=17.5 \sum (x_i - \bar{x})^2 = 5.0625 + 1.5625 + 0.0625 + 7.5625 + 0.0625 + 0.0625 + 3.0625 + 0.0625 = 17.5

    Now substituting back into the variance formula: s2=17.581=17.572.5 s^2 = \frac{17.5}{8 - 1} = \frac{17.5}{7} \approx 2.5

  4. Calculate the Sample Standard Deviation s s : s=s2=2.51.58 s = \sqrt{s^2} = \sqrt{2.5} \approx 1.58

4. Verify and Summarize

  • Range: 5
  • Sample Variance: 2.5
  • Sample Standard Deviation: 1.58

Final Answer

  • The range is 5.
  • The sample variance is 2.5.
  • The sample standard deviation is 1.58.

This problem has been solved

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