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Pavlova-9 [17]
3 years ago
9

What is the solution to 10(3x−5)=−20

Mathematics
1 answer:
MatroZZZ [7]3 years ago
4 0

Answer:

x = 1

Step-by-step explanation:

  1. Apply the distributive property. It should now look like this:                  30x - 50 = -20
  2. Add 50 to each side, so it now looks like this: 30x = 30
  3. Divide each side by 30 to cancel out the 30 next to x. It should now look like this: x = 1

I hope this helps!

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A right triangle is shown. A is 60 degrees. C is 90 degrees. BC is 12. What is the measurement of side ABC
Alexus [3.1K]

Answer:

C. 90 degrees

Step-by-step explanation:

7 0
3 years ago
Bethany and Heather ran a mile in gym
Ad libitum [116K]

Answer:

77

Step-by-step explanation:

to start off the "difference" is the way to say total in subtraction

you would have to subtract 87 and 10 to find the difference

87 - 10 = 77

77 is the difference between their times

8 0
4 years ago
The cost of 5 gallons of ice cream has a variance of 49 with a mean of 37 dollars during the summer. What is the probability tha
VMariaS [17]

Answer:

0.0119 = 1.19% probability that the sample mean would be less than 35.2 dollars if a sample of 77 5-gallon pails is randomly selected

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(which is the square root of the variance) \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 = 37, \sigma = \sqrt{49} = 7, n = 77, s = \frac{7}{\sqrt{77}} = 0.7977

What is the probability that the sample mean would be less than 35.2 dollars if a sample of 77 5-gallon pails is randomly selected?

This is the pvalue of Z when X = 35.2.

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

By the Central Limit Theorem

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

Z = \frac{35.2 - 37}{0.7977}

Z = -2.26

Z = -2.26 has a pvalue of 0.0119

0.0119 = 1.19% probability that the sample mean would be less than 35.2 dollars if a sample of 77 5-gallon pails is randomly selected

3 0
3 years ago
Given that 1 kilogram weighs approximately 22 pounds, rewrite 10 pounds as an equivalent number of kilograms
yaroslaw [1]

Answer:

0.4545 kgs.

Step-by-step explanation:

Given that 1 kg weighs approximately 22 pounds.

i.e. 1kg= 22 lbs.

We can use this to convert lbs into kg.

22 lbs = 1 kg

Hence 1 lb = 1/22 = 0.04545 kg

Now to find out the equivalent weight for 10lbs,

we have conversion factor as 1 lb= 0.04545 kg

Hence 10 lbs = 10(0.04545) = 0.4545 kgs

Hence 10 pounds written in equivalent kgs would be0.4545 kgs.

4 0
3 years ago
Can you guys factor this problem completely for differences of squares?
Aneli [31]

a² - b² = (a - b)(a + b)

49x² - 9 = (7x)² - 3² = (7x - 3)(7x + 3)

8 0
3 years ago
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