How do you give BRAINLYIST for mathematics

Mathematics

2 answers:

ICE Princess25 [194]2 years ago

7 0

Answer:

To give brainliest, you have to choose between one of the two answers to your question, whichever answer you want to give brainliest to. There will be a crown symbol at the top right of the answer I think and by clicking that, you will be giving brainliest to an answer for your question.

Step-by-step explanation:

Hope this helps

Sergeu [11.5K]2 years ago

5 0

You have to wait until 2 people answer the question and then go back to your question and there will be a button above both answers saying “mark as brainliest” and the click the button that’s above the answer that you want to mark

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Helpppppppp Write a linear function f(x) with the values f(3) = -1 and f(6) = 1.

VladimirAG [237]

The Answers hope this helps

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2 years ago

Consider the probability that no less than 96 out of 145 people will not get the flu this winter. Assume the probability that a

dsp73

Answer:

0.1324 = 13.24% probability that no less than 96 out of 145 people will not get the flu this winter.

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

$E(X) = np$

The standard deviation of the binomial distribution is:

$\sqrt{V(X)} = \sqrt{np(1-p)}$

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that $\mu = E(X)$ , $\sigma = \sqrt{V(X)}$ .