Answer:
CED and BEC
Step-by-step explanation
supplementary angles =180
they are next to each other
trust me.
Answer:
i think its A
Step-by-step explanation:
Answer:
- Postsecondary teacher jobs = 431 thousand
- Medical assistant jobs = 258 thousand
- Nurse jobs = 752 thousand
Step-by-step explanation:
<u>Given</u>
- Postsecondary teacher jobs = t
- Medical assistant jobs = m
- Nurse jobs = n
<em>The number of postsecondary teacher jobs will grow 173 thou-
</em>
<em>sand more than twice the number of medical assistant jobs.
</em>
<em>The number of registered nurse jobs will grow 22 thousand
</em>
<em>less than three times the number of medical assistant jobs.
</em>
<em>If the total growth of these three jobs is predicted to be 1441
</em>
<em>thousand, find the predicted growth of each job.</em>
<u>Substituting t and n in the last equation and solving for m:</u>
- m + 173 + m + 3m - 22 = 1441
- 5m + 151 = 1441
- 5m = 1441 - 151
- 5m = 1290
- m = 1290/5
- m = 258 thousand
<u>Finding the rest</u>
- t = m + 173 = 258 + 173 = 431 thousand
- n = 3m - 22 = 3*258 - 22 = 752 thousand
Vas happening?
You break it down
3 ^5 is 3 x 3 x 3 x 3 x 3 = 729
4 ^ 5 is 4 x 4 x 4 x 4 x 4 = 1024
729 times 1024 = 746,496
12 ^ 10 is 12 x 12 x 12 x 12 x 12 x 12 x 12 x 12 x 12 x 12 = 6.19174e10
So the answer is incorrect
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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