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By: Janine Woodbury
What Is the standard deviation in the amount of goals scored between a game lost and a game won?
UNO Find the average of  goals scored by the USA. 19/12= 1.583
DOS Second step is the  subtract the average of goals scored overall by  the number of goals  scored in each game. AVERAGE GOALS DIFFERENCE 1.583 1 .583 1.583 1 .583 1.583 1 .583 1.583 1 .583 1.583 4 -2.417 1.583 3 -1.417 1.583 1 .583 1.583 1 .583 1.583 2 -.417 1.583 1 .583 1.583 2 -.417 1.583 1 .583
TRES After you subtract the average of goals and the amount scored each game, you square the deviation. Deviation Deviation 2 .583 .339889 .583 .339889 .583 .339889 .583 .339889 -2.417 5.841889 -1.417 2.007889 .583 .339889 .583 .339889 -.417 .173889 .583 .339889 -.417 .173889 .583 .339889
QUATRO After Squaring the deviation, add them together and divide  them by the number of  deviations there are. Deviation  2 .339889 .339889 .339889 .339889 5.841889 +  2.007889 .339889 .339889 .173889 .339889 .173889 .339889  10.916668
C  NCO Divide the sum by the amount of deviations to calculate the variance. 10.916668 歎 12 = .90972
S  ES After finding the variance, find the square root of it.  .90972 = .95379
THE END

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Standard Deviation1

  • 2. What Is the standard deviation in the amount of goals scored between a game lost and a game won?
  • 3. UNO Find the average of goals scored by the USA. 19/12= 1.583
  • 4. DOS Second step is the subtract the average of goals scored overall by the number of goals scored in each game. AVERAGE GOALS DIFFERENCE 1.583 1 .583 1.583 1 .583 1.583 1 .583 1.583 1 .583 1.583 4 -2.417 1.583 3 -1.417 1.583 1 .583 1.583 1 .583 1.583 2 -.417 1.583 1 .583 1.583 2 -.417 1.583 1 .583
  • 5. TRES After you subtract the average of goals and the amount scored each game, you square the deviation. Deviation Deviation 2 .583 .339889 .583 .339889 .583 .339889 .583 .339889 -2.417 5.841889 -1.417 2.007889 .583 .339889 .583 .339889 -.417 .173889 .583 .339889 -.417 .173889 .583 .339889
  • 6. QUATRO After Squaring the deviation, add them together and divide them by the number of deviations there are. Deviation 2 .339889 .339889 .339889 .339889 5.841889 + 2.007889 .339889 .339889 .173889 .339889 .173889 .339889 10.916668
  • 7. C NCO Divide the sum by the amount of deviations to calculate the variance. 10.916668 歎 12 = .90972
  • 8. S ES After finding the variance, find the square root of it. .90972 = .95379