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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Amount that trouvaughn paid : $0.80b
ten dollar bill = $10
so $(10-0.80b)
Answer:
see explanation
Step-by-step explanation:
(a)
= 1 ( any value divided by itself = 1 )
(b)
= a ( any value divide by 1 is the value itself )
(c)
× 
= 
The product of 2 fractions is the product of the numerators divided by the product of the denominators
(d)
÷ = 
To divide 2 fractions, leave the first fraction, change division to multiplication and turn the second fraction upside down, that is
÷ = × 
=
(e)
+ 
= 
Since the fractions have a like denominator, add the numerators leaving the denominator. This applies to subtraction also
(f)
- = 
See explanation for part (e)
