Answer:
r = 22.5
Step-by-step explanation:
R = D/2 = 45/ 2 = 22.5
Answer: The answer is 
Step-by-step explanation: The given functions are
We are to find f(g(x)). To do this, first we need to evaluate g(x) and then we will apply the function f on the resulting function.
The evaluation is as follows:
Thus, the correct answer is
A product is made up of components A, B, C, D, E, F, G, H, I, and J. Components A, B, C, and F have a 1/10,000 chance of failure
Svetach [21]
Answer:
The overall reliability is 99.7402 %
Step-by-step explanation:
The overall reliability of the product is calculated as the product of the working probability of the components.
For components A,B,C and F we have :
⇒
For components D,E,G and H we have :
⇒
Finally, for components I and J :
⇒
Now we multiply all the working probabilities. We mustn't forget that we have got ten components in this case :
Components A,B,C and F with a working probability of 0.9999
Components D,E,G and H with a working probability of 0.9997
Components I and J with a working probability of 0.9995
Overall reliability = 
0.997402 = 99.7402 %
Answer:
4 units
Step-by-step explanation:
just took the test
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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