what is the standard deviation of the following sample: 45, 59, 49, 52, 55?\nhint: use the following.\nsum…

what is the standard deviation of the following sample: 45, 59, 49, 52, 55?\nhint: use the following.\nsum of squares\n| x | (x - x̄) | (x - x̄)² |\n|----|----|----| \n| 45 | | | \n| 59 | | | \n| 49 | | | \n| 52 | | | \n| 55 | | | \n| x̄ = | | σ = |\ns = √(σ(x - x̄)² / (n - 1))\n23.2\n4.82\n5.39\n29\n38.67
Answer
Explanation:
Step1: Calculate the mean
$\bar{x}=\frac{45 + 59+49+52+55}{5}=\frac{260}{5}=52$
Step2: Calculate $(x - \bar{x})$ and $(x - \bar{x})^2$ for each $x$
For $x = 45$: $(45 - 52)=-7$, $(45 - 52)^2 = 49$ For $x = 59$: $(59 - 52)=7$, $(59 - 52)^2 = 49$ For $x = 49$: $(49 - 52)=-3$, $(49 - 52)^2 = 9$ For $x = 52$: $(52 - 52)=0$, $(52 - 52)^2 = 0$ For $x = 55$: $(55 - 52)=3$, $(55 - 52)^2 = 9$
Step3: Calculate the sum of squares $\sum(x - \bar{x})^2$
$\sum(x - \bar{x})^2=49 + 49+9+0+9=116$
Step4: Calculate the standard deviation
$n = 5$, and the formula for sample - standard deviation is $s=\sqrt{\frac{\sum(x - \bar{x})^2}{n - 1}}$. Substitute $\sum(x - \bar{x})^2 = 116$ and $n = 5$ into the formula: $s=\sqrt{\frac{116}{5 - 1}}=\sqrt{\frac{116}{4}}=\sqrt{29}\approx5.39$
Answer:
$5.39$