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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Since his number halved is 32.5 all you have to do is multiply 32.5 by 2.
x=32.5(2)
x=65
A shape that has four corners and four sides like a square, rectangle, or dimond
Answer:
x = 5
Step-by-step explanation:
Add three to 17 and your answer will be 20, then divide 20 and 4 and your answer is 5
Answer:
One pair of socks is $370.
Step-by-step explanation:
Sean bought <em>three pairs</em> of the same socks and a shoe polish for $1450. If the
polish cost $340, how much is the cost of <em>one pair</em> of socks.
6x - 340 = 1450
6x = 1450 -340
6x = 1110
2x = 1110 / 3
2x = 370
