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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<span>The question said that Juan earns 5 percent on the first ten suits sold. Commission earned on the first ten 250.00 dollars suits = 5% of 250.00 times 10 suits = 0.05 x 250 x 10 = $125.00. The question said that he earns an additional 3 percent on additional suits exceeding 10 suits making a total of 8 percent. Since Juan sold 13 suits, he sold 3 additional suits. 8% of 250.00 times 3 suits = 0.08 x 250 x 3 = $60. Therefore, total commision = $125 + $60 = $185.00</span>
Answer: thw 2 one is the answer
Step-by-step explanation:
Answer:
21 flowers
Step-by-step explanation:
because if dora can plant 18 plants then Charlie can plant 21 flowers
If you need to you can write it out. the answer is X=14
