What is the lowest form of 32:28?

A gallon of gas has dropped to 2.85 if yesterday was 2.90 what is the percentage of decrease

vodomira [7]

Answer: 5%

Step-by-step explanation:

if it was 2.90 yesterday and 2.85 today there is a 5 cent decrease. to find the percent you convert .05 to a percent which is 5%

3 0

2 years ago

3/4c-7/12+7/24c+2/3-1/6c<br>simplify the expression

Setler [38]

7/8c +23/24 I think this is right dont use me as the only source tho

6 0

3 years ago

Read 2 more answers

a real estate agent earns a commission of 4% of the selling price for each house he sells. How expensive of a house does he have

Vika [28.1K]

Given that rate of commission earned by the real estate agent = 4%

Given that required commission that real estate agents wants to earn = $7000.

Now we have to find about how expensive of a house does he have to sell to earn $7000.

So let the cost of house = $x

then commission earned = 4% of x

Given commision is $7000 so both quantities will be equal and we get equation:

4% of x = 7000

0.04x = 7000

x = 7000/0.04

x = 175000

Hence final answer is $175000.

8 0

3 years ago

Critical Thinking: Empirical/Quantitative Skills

aliya0001 [1]

Answer:

1. 0.0910 = 9.10% probability that exactly 180 passengers show up for the flight.

2. 0.4522 = 45.22% probability that at most 180 passengers show up for the flight.

3. 0.5478 = 54.78% probability that more than 180 passengers show up for the flight.

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.

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