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Arturiano [62]
3 years ago
8

Alan recorded the points he scored on the basketball court in ms2 school yard. What is the mean absolute deviation of his scores

Mathematics
1 answer:
Alecsey [184]3 years ago
8 0

Answer:

The mean absolute deviation is: 7.44

Step-by-step explanation:

Given

Scores: 98, 78, 84, 75, 91

Required

The mean absolute deviation

First, calculate the mean

\bar x = \frac{\sum x}{n}

\bar x = \frac{98+78+84+75+91}{5}

\bar x = \frac{426}{5}

\bar x = 85.2

The mean absolute deviation (M) is:

M = \frac{1}{n}\sum|x - \bar x|

So, we have:

M = \frac{1}{5}(|98 - 85.2|+|78 - 85.2|+|84 - 85.2|+|75 - 85.2|+|91 - 85.2|)

M = \frac{1}{5}(|12.8|+|-7.2|+|-1.2|+|-10.2|+|5.8|)

Remove absolute brackets

M = \frac{1}{5}(12.8+7.2+1.2+10.2+5.8)

M = \frac{1}{5}*37.2

M = 7.44

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What value of x results in f(x) = 1 given the<br> function f(x) = 9 - 4x?
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2 =x

Step-by-step explanation:

f(x) = 9 - 4x

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Read 2 more answers
Statistics students in Oxnard College sampled 10 textbooks in the Condor bookstore, and recorded number of pages in each textboo
jeka94

Answer:

y = -0.85 + 0.09x; $49.82

Step-by-step explanation:

1. Calculate Σx, Σy, Σxy, and Σx²  

The calculation is tedious but not difficult.

\begin{array}{rrrr}\mathbf{x} & \mathbf{y}  & \mathbf{xy} & \mathbf{x^{2}}\\526 & 52.08 & 27394.08 & 276676\\625& 59.00 & 36875.00 &390625\\589 & 56.12 & 33054.68 & 346921\\409 & 25.72 & 10519.48 & 167281\\489 & 34.12& 16684.68 & 293121\\500 & 53.00 & 26500.00 &250000\\906 & 76.48 & 71102.88 & 820836\\251 &26.08 & 6546.08 & 63001\\595 & 50.60 & 30107.00 & 354025\\719 & 68.52 & 49265.88 & 516961\\\mathbf{5609} & \mathbf{503.72} &\mathbf{308049.76} & \mathbf{3425447}\\\end{array}

2. Calculate the coefficients in the regression equation

a = \dfrac{\sum y \sum x^{2} - \sum x \sum xy}{n\sum x^{2}- \left (\sum x\right )^{2}} =  \dfrac{503.7 \times 3425447 - 5609 \times 308049.76}{10 \times 3425447- 5609^{2}}\\\\= \dfrac{1725466163 - 1727851103.84}{34254470 - 31460881} = -\dfrac{2384941}{2793589}= \mathbf{-0.8537}

b = \dfrac{n\sumx y  - \sum x \sumxy}{n\sum x^{2}- \left (\sum x\right )^{2}} = \dfrac{3080498 - 2825365.48}{2793589} = \dfrac{255132}{2793589} = \mathbf{0.09133}

To two decimal places, the regression equation is

y = -0.85 + 0.09x

3. Prediction

If x = 563,

y = -0.85 + 0.09x = -0.85 + 0.09 × 563 = -0.85  + 50.67 = $49.82

(If we don't  round the regression equation to two decimal places, the predicted value is $50.56.)

 

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Step-by-step explanation:

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