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spin [16.1K]
3 years ago
12

Please help! find the perimeter

Mathematics
2 answers:
sveta [45]3 years ago
7 0

Answer:

9.5

Step-by-step explanation:

Add all the sides together

Alexxx [7]3 years ago
6 0

Answer: 9.5

The perimeter of a shape is simply all of the sides added together.

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beesechurger

Step-by-step explanation:

everyone needs to know about the almighty beesechurger

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2 years ago
2+2+3+6+8-5+0+9-8+4=​
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Answer:

2+2=4+3=7+6=13+8=16+5=21+9=30-8=22+4=26

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3 years ago
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Samson opened a bank account with 1.25% simple interest. The total amount of interest Samson will earn after 20 years is $812.50
Ede4ka [16]
812.50 ^ 20 ^ 1.25%= 3250
4 0
2 years ago
The distribution of weekly salaries at a large company is right skewed with a mean of $1000 and a standard deviation of $350. Wh
Shtirlitz [24]

Answer:

68.76% probability that the sampling error made in estimating the mean weekly salary for all employees of the company by the mean of a random sample of weekly salaries of 50 employees will be at most $50

Step-by-step explanation:

To solve this question, we have 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 \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 random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation, which is also called standard error s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 1000, \sigma = 350, n = 50, s = \frac{350}{\sqrt{50}} = 49.5

What is the probability that the sampling error made in estimating the mean weekly salary for all employees of the company by the mean of a random sample of weekly salaries of 50 employees will be at most $50

This is the pvalue of Z when X = 1000+50 = 1050 subtracted by the pvalue of Z when X = 1000-50 = 950. So

X = 1050

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

By the Central Limit Theorem

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

Z = \frac{1050-1000}{49.5}

Z = 1.01

Z = 1.01 has a pvalue of 0.8438

X = 950

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

Z = \frac{950-1000}{49.5}

Z = -1.01

Z = -1.01 has a pvalue of 0.1562

0.8438 - 0.1562 = 0.6876

68.76% probability that the sampling error made in estimating the mean weekly salary for all employees of the company by the mean of a random sample of weekly salaries of 50 employees will be at most $50

4 0
2 years ago
TX is the perpendicular bisector of Su. What is the length of SU?
9966 [12]

Answer:

SU = 20

Step-by-step explanation:

Given

Triangle TSU

Bisector TX

Required

Length of SU

A line is said to be a perpendicular bisector if and only if it divides a line segment into two equal lengths;

This means that line TX divides line SU into two equal part.

This implies that

SU = SX + UX

and

SX = UX

Substitute SX = UX; The expression becomes

SU = UX + UX

Recall that UX = 10;

So, the above expression becomes

SU = 10 + 10

SU = 20

Hence, the length of is 20

6 0
3 years ago
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