Whats greater 9.354 or 9.012

The perimeter of the small square is equal to one-half the perimeter of the large square,

Vsevolod [243]

I hope this helps you

7 0

3 years ago

Employees in 2012 paid 4.2% of their gross wages towards social security (FICA tax), while employers paid another 6.2%. How much

yaroslaw [1]

The number of earnings towards social security should be $1,890.

According to the statement

We have to find that the security out of their gross wages.

So, For this purpose, we know that the

Gross pay refers to the amount used to calculate the wages of an employee or salary.

From the given information:

The employers in 2012 paid 4.2%.

The employer should paid 6.2%.

And, the earning should be $45,000.

Based on the above information, the calculation is as follows:

4.2% * 45,000

= $1,890

Therefore, we will conclude that the number of earnings towards social security should be $1,890.

Learn more about Gross pay here

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4 0

1 year ago

What is the answer I'm having trouble?4(2t+6)=

Galina-37 [17]

4(2t+6)

8t+24 is the answer

4 0

2 years ago

Read 2 more answers

11. A recipe calls for 1/2

andreyandreev [35.5K]

Answer:

if jack uses 10 cups of sugar he will need to use 6 tsp of vanilla extract

Step-by-step explanation:

10 devided by 2 1/2= 4

and 1/2 multiplied by 4 is 6

3 0

2 years ago

Read 2 more answers

it is known that the population proton of utha residnet that are members of the church of jesus christ 0l6 suppose a random samp

Lady_Fox [76]

Answer:

0.0838 = 8.38% probability of obtaining a sample proportion less than 0.5.

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 normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes 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 $s = \frac{\sigma}{\sqrt{n}}$ .

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean $\mu = p$ and standard deviation $s = \sqrt{\frac{p(1-p)}{n}}$