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4vir4ik [10]
4 years ago
11

Divide and answer in simplest form: 1/3 divided by 5

Mathematics
1 answer:
disa [49]4 years ago
7 0

Answer:

1/15

Step-by-step explanation:

1. You can divide 1/3 by 5 by changing the division symbol to its reciprocal, multiplication, and also divide by the reciprocal of the number after the symbol, 5. The reciprocal of 5 is 1/5.

2. Now you can do 1/3 multiplied by 1/5. Multiply the numerators by the denominators. The numerators are 1 and 1, so you multiply 1 by 1 which equals 1. Now you multiply the denominators, 3 and 5, which is equal to 15. If the numerator is now 1, and the denominator is 15, the new fraction is 1/15, getting you to your answer

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Find the slope of the line y=1/8-1 show your work
sleet_krkn [62]

Answer:

-7/8

Step-by-step explanation:

y = 1/8 -1

y = 1/2^3 -1

y = 1 - (2^3)/2^3

y = 1-8/2^3

y = 7/2^3

y = -7/8

hope that helps <3

7 0
3 years ago
A group of scientists studied the amount of erosion at a beach. The scientist determined that the equation y=-0.5x+26 models the
daser333 [38]

Answer:

Try A

Step-by-step explanation:

8 0
3 years ago
Parts being manufactured at a plant are supposed to weigh 65 grams. Suppose the distribution of weights has a Normal distributio
andrew-mc [135]

Answer:

0.64%.

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 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.

Mean of 75 grams and a standard deviation of 22 grams.

This means that \mu = 75, \sigma = 22

Sample of 144:

This means that n = 144, s = \frac{22}{\sqrt{144}} = 1.8333

More than 80 or less than 70:

Both are the same distance from the mean, so we find one probability and multiply by 2.

The probability that it is less than 70 is the pvalue of Z when X = 70. So

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

By the Central Limit Theorem

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

Z = \frac{70 - 75}{1.8333}

Z = -2.73

Z = -2.73 has a pvalue of 0.0032

2*0.0032 = 0.0064.

0.0064*100% = 0.64%

The probability is 0.64%.

3 0
3 years ago
Write the ratio in lowest terms with whole numbers in the numerator and denominator.
Paha777 [63]
The answer is 5/4

\frac{10.15}{8.12} = \frac{10.15*100}{8.12*100} = \frac{1015}{812} =\frac{1015:7}{812:7} = \frac{145}{116} =\frac{145:29}{116:29}= \frac{5}{4}
5 0
3 years ago
3. Write an equation in point-slope form for the line through the given point with the given slope.
ASHA 777 [7]
3C
4C
5B (parallel means same slope)
7 0
3 years ago
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