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lawyer [7]
3 years ago
11

Can anyone help with this plzzz!!!!!!!!!!!!!!!!!!

Mathematics
1 answer:
Mila [183]3 years ago
6 0

Answer:

?

Step-by-step explanation:

?

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Ashton bought 5 cans of olive oil. Each can had a radius of 3.2 inches and was 15 inches tall. Find the total cubic inches of ol
amid [387]

Step-by-step explanation:

A can is a cylinder.

Volume of a can = Volume of Cylinder

= \pi {r}^{2} h

Given Radius = 3.2 inches and height = 15 inches,

Volume of one olive oil can =

\pi( {3.2}^{2} )(15) \\  = 153.6\pi {in}^{3}

Volume of 5 olive oil cans = 5 x volume of one olive can

= 5 \times 153.6\pi \\  = 768\pi {in}^{3}

I will just leave the answer in terms of pi as I'm not sure if you need to round off your answers.

5 0
3 years ago
I’ll give 20 points for the ans and equation.
Hunter-Best [27]

Answer: I believe it would be 1.25, because 1.42 times 55000 is 78100, and 1.25 times 64000 is 80000, and 80000 is greater than 78100.

(not completely sure though, I'm not the brightest)

Step-by-step explanation:

5 0
2 years ago
Will give brainliest i rlly need help
Zepler [3.9K]

Answer:

1/6

Step-by-step explanation:

-3/4 - (-1/2) = - 1/4

-2/3 - 5/6 = - 3/2

-1/4 ÷ -3/2

3 0
2 years ago
a deli sells a sandwich spread for $6.40 per pound. How much do you have to pay for 24 ounces of the spread. (hint: 16 ounces in
ehidna [41]
24 ounces = 1,5pound
1pound= 6,40$
1,5pound=???
you do the math :):)
7 0
3 years ago
Read 2 more answers
it is known that the population proton of utha residnet that are members of the church of jesus christ 0l6 suppose a random samp
Lady_Fox [76]

Answer:

0.0838 = 8.38% probability of obtaining a sample proportion less than 0.5.

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.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

Proportion of 0.6

This means that p = 0.6

Sample of 46

This means that n = 46

Mean and standard deviation:

\mu = p = 0.6

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.6*0.4}{46}} = 0.0722

Probability of obtaining a sample proportion less than 0.5.

p-value of Z when X = 0.5. So

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

By the Central Limit Theorem

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

Z = \frac{0.5 - 0.6}{0.0722}

Z = -1.38

Z = -1.38 has a p-value of 0.0838

0.0838 = 8.38% probability of obtaining a sample proportion less than 0.5.

8 0
3 years ago
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