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trasher [3.6K]
2 years ago
12

Find the value of x then classify the triangle

Mathematics
1 answer:
Sliva [168]2 years ago
4 0

Answer: 88º

Step-by-step explanation:

180-47=133-45=88

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The product of the consecutive integers is 72. The equation xx+1) = 72 represents the situation where z represents
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2+2x-72=0

Step-by-step explanation:

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This is a triangle with exactly 2 congruent sides. I need it hurry
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isosceles triangle

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Nike claims that the number of miles a jogger can get a on a pair of Nike’s running shoes is higher than 1000. Moreover, Nike al
Lisa [10]

Answer:

a) There is statistical evidence showing that Nike shoues get more than 1000 miles.

b) The p-value of t=1.84 and df=149 is P=0.034.

It represents the probability of getting this sample results if the population parameters are the ones from the null hypothesis.

In this case, the low p-value shows is rare to get a sample of n=150 and mean 1015 miles, if the population mean is 1000. This is evidence that the null hypothesis is not true.

c) There is no enough evidence to claim that Nike shoes outperform Adidas shoes by 15 miles.

d) The p-value for t=0.55 and 318 df is P=0.29.

This shows that there is a probability of P=0.29 of getting samples that show this difference if the statement of the null hypothesis is true.

Step-by-step explanation:

a) We have to perform a hypothesis test with the following hypothesis:

H_0: \mu\leq 1000\\\\H_a: \mu>1000

The level of significance is 0.05.

The sample mean is 1015 and the sample standard deviation is 100.

The degrees of freedom are df = 150-1 = 149.

The t-statistic is:

t=\frac{M-\mu}{s/\sqrt{n}}=\frac{1015-1000}{100/\sqrt{150}} =\frac{15}{8.165} =1.84

The critical value for t is t=1.66. As the t-statistic is bigger than the critical t, it falls in the rejection region. The null hypothesis is rejected.

There is statistical evidence showing that Nike shoues get more than 1000 miles.

b) The p-value of t=1.84 and df=149 is P=0.034.

It represents the probability of getting this sample results if the population parameters are the ones from the null hypothesis.

In this case, the low p-value shows is rare to get a sample of n=150 and mean 1015 miles, if the population mean is 1000. This is evidence that the null hypothesis is not true.

c) In this case, the null and alternative hypothesis are:

H_0: \mu_1-\mu_2\leq 15\\\\H_a: \mu_1-\mu_2>15

The significance level is 0.05.

The difference between sample means is:

M_d=1015-995=20

The standard deviation of the difference is:

\sigma=\sqrt{\frac{\sigma_1^2}{n_1}+\frac{\sigma_2^2}{n_2}}= \sqrt{\frac{100^2}{150}+\frac{50^2}{170}}= \sqrt{66.67+14.70}=9

The degrees of freedom are:

df=n_1+n_2-2=150+170-2=318

The critical value is t=1.65

The t-statistic is:

t=\frac{M_d-(\mu_1-\mu_2)}{\sigma} =\frac{20-15}{9}= \frac{5}{9}= 0.55

The value ot the t-statistic is lower than the critical value, so it lies within the acceptance region.

There is no enough evidence to claim that Nike shoes outperform Adidas shoes by 15 miles.

d) The p-value for t=0.55 and 318 df is P=0.29.

This shows that there is a probability of P=0.29 of getting samples that show this difference if the statement of the null hypothesis is true.

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2 years ago
Jane bought a poster that had a length of feet and a width of feet. What is the perimeter of her poster?
Gemiola [76]

Answer:

6 1/6 feet

Step-by-step explanation:

1. Add the fractions

2. Multiply the sum of the fractions by 2

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2 years ago
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