Descriptive statistics uses data to provide descriptions of populations. Often this data is represented in the form of tables, charts, graphs, or even just numbers. Here, we organize (visual representation) and analyze data to describe a population.
Inferential statistics utilizes data in such a way that allows us to make predictions, generalizations, and inferences about a population from samples taken. Here, we can compare, predict, and test data in order learn about a population.
Hope this helps.
A y<=3x +2
Step-by-step explanation:
Because is shade under so is small than
Than it is not doted line is a full line so is a equal
So answer is small than or equally to
(x + 8)(x - 8)
x(x - 8) + 8(x - 8) =
x^2 - 8x + 8x - 64 =
x^2 - 64 <===
We can calculate (62 + 90) / 2 = 76. it's <span>known that 95% lies between the mean and twice the standard deviation. </span><span>if the mean is "μ" and the standard deviation is "σ": </span><span>μ-2σ and μ+2σ. i</span><span>f μ=76, then </span><span>76+2σ = 90, so 2σ = 14, so σ = 7.
</span>
<span>the mean is 76 and the standard deviation 7. </span>
Answer:
you can buy 28 juice boxes, with 20 cents as change
Step-by-step explanation:
