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kolezko [41]
3 years ago
8

6. I think the answer is H, could you help and check?!

Mathematics
2 answers:
Sliva [168]3 years ago
8 0
Set up an equation to solve.
70% of original price equals $550, the amount Susan is paying.
0.70x = 550
vovangra [49]3 years ago
5 0
You can do the guess and check method by multiplying each answer choice by 0.7 and check which one gives you $550 or something that rounds to $550
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Evaluate the following expression.<br> (-3)-2<br> |<br> ao
dmitriy555 [2]

Answer:

6

Step-by-step explanation:

The parentheses mean to multiply, in this case, so -3 times -2 would equal 6.

7 0
3 years ago
1.17-0.07a+(-3.92a) please help asap
Dovator [93]

Answer:

1.17-3.99a

Step-by-step explanation:

You can only combine like terms and 1.17 is not a like term to -0.07a and -3.92a

So you can only combine the like terms

4 0
3 years ago
I need help with this :/
hoa [83]

Answer:

Plz mark me brainliest!!!!

Step-by-step explanation:

0

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6 0
3 years ago
Victor has a bag of dimes and quarters. He has a total of 36 coins worth $5.40.
nata0808 [166]

Answer:

{x+y=36

0.1x+0.25y=5.4

Step-by-step explanation:

just took the test sorry for being late

5 0
3 years ago
Read 2 more answers
The average Act score follows a normal distribution, with a mean of 21.1 and a standard deviation of 5.1. What is the probabilit
ohaa [14]

Answer:

0.43% probability that the mean IQ score of 50 randomly selected people will be more than 23

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}}.

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

In this question:

\mu = 21.1, \sigma = 5.1, n = 50, s = \frac{5.1}{\sqrt{50}} = 0.7212

What is the probability that the mean IQ score of 50 randomly selected people will be more than 23

This is 1 subtracted by the pvalue of Z when X = 23. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{23 - 21.1}{0.7212}

Z = 2.63

Z = 2.63 has a pvalue of 0.9957

1 - 0.9957 = 0.0043

0.43% probability that the mean IQ score of 50 randomly selected people will be more than 23

5 0
3 years ago
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