Plss Answer!!!!!!!!!

Mathematics

1 answer:

Nadusha1986 [10]3 years ago

7 0

Answer:

Ecosystem: Trees

Ways to protect are as follows:-

Control over Forest Fire
Don't waste paper.
Plant a tree

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At an art exhibition there are 12 paintings of which 10 are original. A visitor selects a painting at random and before decides

Reika [66]

Answer:

a) 0.8333

b) 0.75

c) 0.8181 or 0.9090

Step-by-step explanation:

The probability the visitor selects an authentic painting is

10/12 = 0.8333

Since the opinion of the expert does not depend on your choice, the events are independent, so the probability that the expert says is authentic and it really is, is

0.8333*0.9 = 0.75

If the expert decides the painting is a copy and it is not, then there are 11 paintings of which 9 are authentic, so the probability the visitor selects a new original painting is

9/11= 0.8181

If the expert decides the painting is a copy and it is, then there are 11 paintings of which 10 are authentic, so the probability the visitor selects a new original painting is

10/11= 0.9090

8 0

3 years ago

Does anyone know the answer

ryzh [129]

Yes it is 1210.428571

6 0

3 years ago

Read 2 more answers

Assume that the population of human body temperatures has a mean of 98.6 degrees F and a standard deviation of 0.62 degrees F. I

dimulka [17.4K]

Answer:

0% probability of getting a mean temperature of 98.2 degrees F or lower.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean $\mu$ and standard deviation $\sigma$ , a large sample size can be approximated to a normal distribution with mean $\mu$ and standard deviation $\frac{\sigma}{\sqrt{n}}$ .

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.

In this problem, we have that:

$\mu = 98.6, \sigma = 0.62, n = 106, s = \frac{0.62}{\sqrt{106}} = 0.06$