At a museum 100 posters are displayed in each of 4 rooms. altogether how many posters are displayed

What is the answer!???

mr Goodwill [35]

I believe A is the answer!

3 0

3 years ago

Please help, it is due tonight!

PolarNik [594]

21..................

4 0

2 years ago

Read 2 more answers

34 POINTS HELP CAN YOU HELP ME SOVLE AND SHOW HOW YOU DID IT?

Troyanec [42]

1. Let's solve your equation step-by-step.
4x+5=6x
Step 1: Subtract 6x from both sides.
4x+5−6x=6x−6x
−2x+5=0
Step 2: Subtract 5 from both sides.
−2x+5−5=0−5
−2x=−5
Step 3: Divide both sides by -2.
−2x/−2 =−5/−2

Answer:x=5/2

7 0

3 years ago

According to a Yale program on climate change communication survey, 71% of Americans think global warming is happening.† (a) For

SpyIntel [72]

Answer:

a) 0.2741 = 27.41% probability that at least 13 believe global warming is occurring

b) 0.7611 = 76.11% probability that at least 110 believe global warming is occurring

Step-by-step explanation:

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$

In which $C_{n,x}$ is the number of different combinations of x objects from a set of n elements, given by the following formula.

$C_{n,x} = \frac{n!}{x!(n-x)!}$

And p is the probability of X happening.

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 $\mu = E(X)$ , $\sigma = \sqrt{V(X)}$ .