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2 years ago

Answer YES if is a Right Triangle or NO if is not

Mathematics

1 answer:

Vilka [71]2 years ago

7 0

Answer:

Part A: yes

Part B: yes

Part C: yes

Step-by-step explanation:

Part A:

77² + 420² = 427²

5,929 + 176,400 = 182,329

182,329 = 182,329

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Part B:

279² + 440² = 521²

77,841 + 193,600 = 271,441

271,441 = 271,441

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Part C:

39² + 760² = 761²

1,521 + 577,600 = 579,121

579121 = 579,121

----------------------------------------------------------

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The average time customers spent on the American Greetings Web site has been 11.85 minutes (Top Web Properties, USA Today, April

Helen [10]

Answer: ± 1.96

Step-by-step explanation:

Given the following :

Mean (m) time spent = 11.85

Standard deviation = 4 minutes

Since the population of site visits is Normally distributed, Hence, the test statistic will follow a normal distribution :

The test the hypothesis that mean time has changed at 0.05 confidence interval

Normal distributions have a mean value of 0 and standard deviation of 1

Using a two tailed test At 0.05 confidence interval ;

Using the critical value calculator, which in general under normal distributions :

0.05% confidence interval for a two tailed test is

± 1.96

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3 years ago

PLEASE HELP with this question. it is in the picture file below!!!!

ryzh [129]

The line g(x) is 3 units above the line f(x). k = 3.

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The y-intercept of g(x) is 5; the y-intercept of f(x) is 2. 5-2 = 3, the distance between the lines where they cross the y-axis.

3 0

3 years ago

In 2018, Mike Krzyewski and John Calipari topped the list of highest paid college basketball coaches (Sports Illustrated website

expeople1 [14]

From the data given, we estimate the population mean and population standard deviation. Then, we use this estimate to find a 95% confidence interval for the population variance and the population standard deviation.

Sample:

Salaries in millions of dollars: 2.2, 1.5, 0.5, 1.3, 2.4, 1.5, 2.7, 0.3, 2.0, 0.3

Question a:

The mean is the sum of all values divided by the number of values. So

$\overline{x} = \frac{2.2 + 1.5 + 0.5 + 1.3 + 2.4 + 1.5 + 2.7 + 0.3 + 2.0 + 0.3}{10} = 1.42$

The sample mean salary is of 1.42 million.

Question b:

The standard deviation is the square root of the difference squared between each value and the mean, divided by one less than the number of values.

$s = \sqrt{\frac{(2.2-1.42)^2 + (1.5-1.42)^2 + (0.5-1.42)^2 + (1.3-1.42)^2 + (2.4-1.42)^2 + (1.5-1.42)^2 + (2.7-1.42)^2 + ...}{9}} = 0.8772$