PLS HELP ME AM SO STUCK ON THIS

Mathematics

1 answer:

shepuryov [24]2 years ago

8 0

Answer:

it is 612 I think

Step-by-step explanation:

hope this helps

You might be interested in

A bicycle has a listed price of $660.95 before tax. If the sales tax rate is 7.25%, find the total cost of the bicycle with sale

skelet666 [1.2K]

9514 1404 393

Answer:

$708.87

Step-by-step explanation:

The price with tax included is ...

660.95 + 0.0725×660.95 = 660.95(1 +0.0725) = 708.87

The total cost of the bicycle with tax is $708.87.

8 0

2 years ago

Read 2 more answers

Convert the following equation into<br> standard form.

kicyunya [14]

Answer:

7x+9y=45

Step-by-step explanation:

Standard equations always mean that you have to get x and y on one side so that they equal the coefficient.

Do this by adding the fraction that is combined with x to the other side where y is. The equation should now read $\frac{7}{9} x + y = 5$

Standard form cannot have fractions, so now you must multiply by the denominator (9) on both sides of the equation in order to cancel it out. Don't forget to multiply EACH variable by 9. This leads you to the answer.

7 0

2 years ago

A charity receives 2025 contributions. Contributions are assumed to be mutually independent and identically distributed with mea

uysha [10]

Answer:

The 90th percentile for the distribution of the total contributions is $6,342,525.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .