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blagie [28]
3 years ago
8

Can someone please do the highlighted questions? I suck at math. :(

Mathematics
1 answer:
stepan [7]3 years ago
7 0
You'll need to offer wayyyyy more than 15 points :(
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A=the quantity of 4 minus all raised to the five - minus-2 power
Katena32 [7]

Answer:

step by step explanation

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3 years ago
Movie theaters exploit your senses by filling the air with the scent of popcorn.
Radda [10]

Answer:

Fax

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2 years ago
A person who weighs 150 lbs. on Earth will weigh 24.9 lbs. on the Moon. What percent of the person's Earth weight will be their
snow_lady [41]
When i looked it up it said 166%
4 0
3 years ago
Suppose that the population mean for income is $50,000, while the population standard deviation is 25,000. If we select a random
Fudgin [204]

Answer:

Probability that the sample will have a mean that is greater than $52,000 is 0.0057.

Step-by-step explanation:

We are given that the population mean for income is $50,000, while the population standard deviation is 25,000.

We select a random sample of 1,000 people.

<em>Let </em>\bar X<em> = sample mean</em>

The z-score probability distribution for sample mean is given by;

               Z = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \mu = population mean = $50,000

            \sigma = population standard deviation = $25,000

            n = sample of people = 1,000

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

So, probability that the sample will have a mean that is greater than $52,000 is given by = P(\bar X > $52,000)

  P(\bar X > $52,000) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } > \frac{52,000-50,000}{\frac{25,000}{\sqrt{1,000} } } ) = P(Z > 2.53) = 1 - P(Z \leq 2.53)

                                                                    = 1 - 0.9943 = 0.0057

<em>Now, in the z table the P(Z </em>\leq<em> x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 2.53 in the z table which has an area of 0.9943.</em>

Therefore, probability that the sample will have a mean that is greater than $52,000 is 0.0057.

5 0
3 years ago
The length of a model car is 1/20 of the length of the actual car. If the model. is 8.7 inch long, how long is the actual car? E
madam [21]
This means that if the model is 1 in lengh then th ereal car is 20 times of that or 20 in legnth

so to find the answer, just multiply model by 20
8.7 =model
real=8.7 times 20=174
real car is 174 inches

12 inches=1 foot
conversion factor
1 ft/12in=1=convesion

so
174 times 1/12=14 and 6/12

the answer is 14 feet and 6 inches or 14.5 feet
7 0
3 years ago
Read 2 more answers
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