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Marat540 [252]
3 years ago
12

Answer Choices for picture below:

Mathematics
1 answer:
Nat2105 [25]3 years ago
6 0

Answer:

Your answer: 5.(4,-4)

Step-by-step explanation:

Please mark brainliest and have a nice night/day!!

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How do you write 0.326 and 0.924 in word form?
Sergeeva-Olga [200]
 three hundred twenty-six thousandths = .326
 nine hundred twenty-four thousandths = .924

Hope this helped!! :D
4 0
3 years ago
Read 2 more answers
Life Expectancies In a study of the life expectancy of people in a certain geographic region, the mean age at death was years an
Sphinxa [80]

Answer:

The probability that the mean life expectancy of the sample is less than X years is the p-value of Z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}, in which \mu is the mean life expectancy, \sigma is the standard deviation and n is the size of the sample.

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.

We have:

Mean \mu, standard deviation \sigma.

Sample of size n:

This means that the z-score is now, by the Central Limit Theorem:

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

Find the probability that the mean life expectancy will be less than years.

The probability that the mean life expectancy of the sample is less than X years is the p-value of Z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}, in which \mu is the mean life expectancy, \sigma is the standard deviation and n is the size of the sample.

8 0
2 years ago
Complete the table and then graph the function.<br> y = x + 2 look at photo
Sonja [21]
4,5,9,10





just add two to each number
3 0
2 years ago
A garden table and a bench cost $950 combined. The garden table costs $50 more than the bench. What is the cost of the bench?
snow_lady [41]
950 - 50 = 900
900 / 2 = 450
The bench cost $450 and the garden table cost $500
 Your answer is $450
Hope this helps!

3 0
2 years ago
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A televison that coast $360 was amrked up by 30% . what is the selling price?
anastassius [24]

Answer:

$468

Step-by-step explanation:

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3 years ago
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