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Contact [7]
2 years ago
14

Please help me I have a lot due today :)

Mathematics
1 answer:
erik [133]2 years ago
8 0

Answer:

The answer is 4/5

Step-by-step explanation:

this is the answer not sure how you want me to explain it!!

You might be interested in
Write two numbers that multiply to the value on top and add to the<br> value on bottom.
Airida [17]
I think the answer is 2 and -15. Because 2 times - 15 is -30 and 2 and -15 can be added to -1.
4 0
3 years ago
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
4 years ago
Fill in the missing number to name a fraction equivalent to 8/3
Sauron [17]
Please provide the other fraction so we can give you the right number or at least a picture.
7 0
3 years ago
Evaluate the expression. 5 x (-6 / -1 + -10)
kotykmax [81]

Answer:

-20

Step-by-step explanation:

5 * (-6 / -1+ -10)

According to PEMDAS, we need to do the math in the parentheses first.

-6 / -1 + -10

Applying PEMDAS to the inside of the parentheses, then we have to divide -6 by -1, where we would get 6.

6 + -10

Adding a negative is the same as subtracting, so adding negative 10 is the same as subtracting 10.

6 - 10

Subtracting, we get 6 - 10 = -4 and we're left with:

5 * (-4)

Multiplying, <u>our final answer is -20.</u>

Hope this helps!

8 0
3 years ago
HELP MEEEEEEEE PLEASE
4vir4ik [10]

Answer:

Option A (3/4)

Step-by-step explanation:

Please mark Brainliest

5 0
3 years ago
Read 2 more answers
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