QUESTION IMAGE
Question
complete the chart to find the mean, variance and standard deviation. remember to use commas and round numbers to the nearest tenth.
| x | (\bar{x}) | (x - \bar{x}) | ((x - \bar{x})^2) | |
|---|---|---|---|---|
| 2. 340 | = - 87.5 | the variance is | ||
| 3. 400 | = - 27.5 | the standard deviation is | ||
| 4. 625 | = 197.5 | (n =) | ||
| (sum x=) | (\bar{x}=) | (sum(x - \bar{x})^2 = 54,225.0) |
Step1: Calculate sum of \(X\) values
\(\sum X=345 + 340+400 + 625=1710\)
Step2: Calculate the mean \(\bar{X}\)
The number of data - points \(n = 4\). \(\bar{X}=\frac{\sum X}{n}=\frac{1710}{4}=427.5\)
Step3: Calculate \((x-\bar{X})^2\) for each \(x\) value
- For \(x = 345\): \((x-\bar{X})^2=(- 82.5)^2 = 6806.25\)
- For \(x = 340\): \((x-\bar{X})^2=(-87.5)^2=7656.25\)
- For \(x = 400\): \((x-\bar{X})^2=(-27.5)^2 = 756.25\)
- For \(x = 625\): \((x-\bar{X})^2=(197.5)^2=39006.25\)
Step4: Calculate the variance \(s^{2}\)
The variance \(s^{2}=\frac{\sum(x - \bar{X})^2}{n}=\frac{54225}{4}=13556.25\approx13556.3\)
Step5: Calculate the standard deviation \(s\)
The standard deviation \(s=\sqrt{s^{2}}=\sqrt{13556.25}\approx116.4\)
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\(\sum X = 1710\), \(\bar{X}=427.5\), for \(x = 345\), \((x - \bar{X})^2=6806.3\), for \(x = 340\), \((x - \bar{X})^2=7656.3\), for \(x = 400\), \((x - \bar{X})^2=756.3\), for \(x = 625\), \((x - \bar{X})^2=39006.3\), the variance is \(13556.3\), the standard deviation is \(116.4\), \(n = 4\)