The purpose of statistical inference population based upon information obtained from the sample.
<h3>What is statistical inference?</h3>
statistical inference uses sample data to make estimates of or draw conclusions about one or more characteristics of a population.
The purpose of statistical inference is to estimate this sample to sample variation or uncertainty. Understanding how much our results may differ if we did the study again, or how uncertain our findings are, allows us to take this uncertainty into account when drawing conclusions. It allows us to provide a plausible range of values for the true value of something in the population, such as the mean, or size of an effect, and it allows us to make statements about whether our study provides evidence to reject a hypothesis.
We have four ideas for using the statistical inference.
1. Estimating uncertainty.
2. Confidence intervals.
3. Hypothesis tests.
4. Connections with other material.
To learn more about statistical inference from the given link:
brainly.com/question/20038845
The given question is not complete.
The purpose of statistical inference is to make estimates or draw conclusions about a population based upon information obtained from the sample.
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Using the formula a² + b² = c² but reversing it to c² - b² = x² where x replaces the a for comprehension reasons
so this is the formula
c² - b² = x²
insert the numbers on the triangle in the picture
21² - 8² = 377
since 377 is squared and not the side length, we need to square root it to find x
√377 = 19.4~
Answer: x = 19.4
He would receive $5.63, not including tax
Answer:
Slope : -1/4
y-intercept : -9
x... 0 , 1
y... -9 , -37/4
Step-by-step explanation: Graph the line using the slope and y-intercept, or two points. GRAPH IS DOWN BELOW!
Hope this helps you out.
