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Ymorist [56]
3 years ago
8

If I have a 52 degree angle, what would be the COMPLEMENTARY angle measure.

Mathematics
1 answer:
Andrei [34K]3 years ago
7 0

Answer:

38^{o}

Step-by-step explanation:

Complementary angles add up to 90^{o} so 90 - 52 = 38

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The sum of a number and 11
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Hello!

The sum of a number and 11:

Let's say that the number is x. So the expression "the sum of a number and x" looks like this:

x+11

Hope this helps you!

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SilentNature

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Your uncle won the powerball jack[ot and decided to give you 50000 dollars. You want to save this money for college so you find
Ahat [919]

Answer: $58,088.57

Step-by-step explanation:

The investment is compounded weekly so you need to change the parameters of the equation to a weekly figure:

Interest rate is yearly so:

= 3.75%/52

= 3.75/52% per week

Number of periods is 4 years so:

= 4 * 52

= 208 weeks

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7 0
3 years ago
PLLLLLLSSSSSs helpppppppp
Citrus2011 [14]

Answer:

x = 40

y = 62

Step-by-step explanation:

I figured out the answer by finding the x on the left triangle first by writing an equation:

(3x - 18) + (x + 7) + (x - 9) = 180

once I worked that I plugged in the number which was 40.

Then for the triangle to the right I also plugged in the numbers for x and got 118 degrees I took 180 and subtracted 118 to get my answer of 62 for y.

5 0
3 years ago
Consider the sequence
AlladinOne [14]
12/1331


that is the answer. too lazy to explain
8 0
3 years ago
An HP laser printer is advertised to print text documents at a speed of 18 ppm (pages per minute). The manufacturer tells you th
aliya0001 [1]

Answer:

0.227 = 22.7% probability that the mean printing speed of the sample is greater than 18.12 ppm.

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 17.42 ppm and a standard deviation of 3.25 ppm.

This means that \mu = 17.42, \sigma = 3.25

Sample of 12:

This means that n = 12, s = \frac{3.25}{\sqrt{12}}

Find the probability that the mean printing speed of the sample is greater than 18.12 ppm.

This is 1 subtracted by the p-value of Z when X = 18.12.

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

By the Central Limit Theorem

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

Z = \frac{18.12 - 17.42}{\frac{3.25}{\sqrt{12}}}

Z = 0.75

Z = 0.75 has a pvalue of 0.773.

1 - 0.773 = 0.227

0.227 = 22.7% probability that the mean printing speed of the sample is greater than 18.12 ppm.

4 0
3 years ago
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