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3 years ago

What is 6000 minus 3672?

Mathematics

2 answers:

Kamila [148]3 years ago

8 0

6000 - 3672 = 2328

Just use a calculator my friend :)

horsena [70]3 years ago

5 0

I got the same thing
6000-3672 is 2328 <span />

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Use the interactive number line to help complete each exercise. Place points at -1 and -4. Complete the inequality: -1 -4. Place

Sliva [168]

Question might not be complete

Answer and explanation:

The signs -1 and -4 lie on the negative side of the number line, left of zero(positive right of zero).

The opposites for each number would be +1 and +4 which would all be on the right side of zero on the number line

Inequality signs or statements to represent greater and lesser number on the number line using the numbers above as examples would be:

-1<+1

-4<-1

+1>-1

+1<4

-1-4<1+4

Numbers that don't have signs attached to them are automatically positive numbers

4 0

2 years ago

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A $40.00 skateboard is discounted 30%. If sales tax is 5%, what is the amount of tax paid?

tekilochka [14]

$29.40 ........ 40x0.3=12....... 40-12=28...... 28x1.05= $29.40

7 0

3 years ago

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Ricardo and Tammy practice putting golf balls. Ricardo makes 47% of his putts and Tammy makes 51% of her putts. Suppose that Ric

yaroslaw [1]

Answer:

0.3821 = 38.21% probability that Ricardo makes a higher proportion of putts than Tammy.

Step-by-step explanation:

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

Normal probability distribution

When the distribution is normal, we use 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 $s = \frac{\sigma}{\sqrt{n}}$ .

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 $s = \sqrt{\frac{p(1-p)}{n}}$

Subtraction of normal variables:

When we subtract normal variables, the mean of the subtraction will be the subtraction of the means, while the standard deviation will be the square root of the sum of the variances.

Ricardo makes 47% of his putts, and attempts 25 putts.

By the Central Limit Theorem, we have that:

$\mu_R = 0.47, s_R = \sqrt{\frac{0.47*0.53}{25}} = 0.0998$