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Nataly [62]
3 years ago
7

23 POINTS + BRAINLIEST

Mathematics
1 answer:
Kamila [148]3 years ago
3 0

Answer:

15

Step-by-step explanation:

You might be interested in
An international company has 13,500 employees in one country if this represents 31.4% of the companies employees how many employ
Feliz [49]

Answer:

Correct answer: Total 42,994 employees

Step-by-step explanation:

We will manage the calculation in decimal form

31.4% = 0.314

13,500 = X · 0.314 => X = 13,500 / 0.314 = 42.993.64 ≈ 42,994 Total employees

God is with you!!!

6 0
3 years ago
The weight of crackers in a box is stated to be 16 ounces. The amount that the packaging machine puts in the boxes is believed t
krek1111 [17]

Answer:

99.99% probability that the mean weight of a 50-box case of crackers is above 16 ounces

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 problem, we have that:

\mu = 16.15, \sigma = 0.3, n = 50, s = \frac{0.3}{\sqrt{50}} = 0.0424

What is the probability that the mean weight of a 50-box case of crackers is above 16 ounces?

This is 1 subtracted by the pvalue of Z when X = 16. So

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

By the Central Limit Theorem

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

Z = \frac{16 - 16.15}{0.0424}

Z = -3.54

Z = -3.54 has a pvalue of 0.0001

1 - 0.0001 = 0.9999

99.99% probability that the mean weight of a 50-box case of crackers is above 16 ounces

3 0
3 years ago
I still don’t get how to do this. Someone help me understand please
solong [7]

Answer:

Step-by-step explanation:

You know that the x-axis is horizontal, so it has slope = 0.

Point-slope equation for line of slope 0 that passes through (-7,9):

y-9 = 0(x+7)

y = 9

6 0
3 years ago
This is probably rly easy but need help asap
Nata [24]

Answer:

x = 16

y = 14.8

Step-by-step explanation:

hope that helped

3 0
3 years ago
Read 2 more answers
Please help with these problems.
DiKsa [7]
13 should be b and
14 is a because geometric mean to have a common ratio
7 0
3 years ago
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