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Advocard [28]
3 years ago
8

Edward entered into a 5-kilometer race. How many meters will he need to run?

Mathematics
1 answer:
EleoNora [17]3 years ago
3 0

Answer:

5000 meters

Step-by-step explanation:

I kilometer=1000 meters

5 kilometers=5000 meters

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$157.50 would be the amount that you earn in interest

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Use the Pythagorean Theorem to determine which of the following give the measures of the legs and hypotenuse of a right triangle
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The Pythagorean theorem states that the square of the hypotenuse is equal to  the sum of the squares of the legs:

c^2=a^2+b^2.

The hypotenuse is the side with the greatest length.

Check all options:

1. c=5, a=3, b=4:

5^2=25,\\3^2+4^2=9+16=25,\\5^2=3^2+4^2 true.

2. c=14, a=4, b=11:

14^2=196,\\4^2+11^2=16+121=137,\\14^2\neq 4^2+11^2 false.

3. c=17, a=9, b=14:

17^2=289,\\9^2+14^2=81+196=277,\\17^2\neq 9^2+14^2 false.

4. c=16, a=8, b=14:

16^2=256,\\8^2+14^2=64+196=260,\\16^2\neq 8^2+14^2 false.

5. c=17, a=8, b=15:

17^2=289,\\8^2+15^2=64+225=289,\\17^2=8^2+15^2 true.

Answer: correct options are A and E.

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that I have a panda but the black on it and I have a ok that you can come over for a few days to come back and I was in work today and it is a very long day at the end with the kids to school tomorrow right ha I have a panda but the black one of the day I can get some

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The mean throwing distance of a football for a Marco, a high school freshman quarterback, is 40 yards, with a standard deviation
Phoenix [80]

Answer:

a) One-tailed t-test about a mean.

b) The null hypothesis would be that there is no significant evidence to conclude that the adjusted grip leads to more distance on the thrown ball.

While the alternative hypothesis is that there is significant evidence to conclude that the adjusted grip leads to more distance on the thrown ball.

Mathematically,

The null hypothesis is represented as

H₀: μ ≤ 40 yards

The alternative hypothesis is given as

Hₐ: μ > 40 yards

c) p-value = 0.00621

d) The graph is presented in the attached image. The p-value obtained is less than the significance level at which the test was performed, hence, we accept the alternative hypothesis and say that there is significant evidence to conclude that the adjusted grip leads to more distance on the thrown ball.

Step-by-step explanation:

a) This test checks if the adjusted grip leads to more distance than before on the ball throws.

So, it is a one tailed test (testing only in one direction), a t-test about a mean.

b) For hypothesis testing, the first thing to define is the null and alternative hypothesis.

The null hypothesis plays the devil's advocate and usually takes the form of the opposite of the theory to be tested. It usually contains the signs =, ≤ and ≥ depending on the directions of the test.

While, the alternative hypothesis usually confirms the the theory being tested by the experimental setup. It usually contains the signs ≠, < and > depending on the directions of the test.

Since this question aims to test if adjusting the grip leads to more distance on the ball thrown.

The null hypothesis would be that there is no significant evidence to conclude that the adjusted grip leads to more distance on the thrown ball. That is, The adjusted grip leads to a distance lesser than or equal to the previous distance on the thrown ball.

While the alternative hypothesis is that there is significant evidence to conclude that the adjusted grip leads to more distance on the thrown ball.

Mathematically,

The null hypothesis is represented as

H₀: μ ≤ 40 yards

The alternative hypothesis is given as

Hₐ: μ > 40 yards

c) To do this test, we will use the z-distribution because there is information on the population standard deviation.

So, we compute the test statistic

z = (x - μ₀)/σ

x = 45 yards

μ₀ = 40 yards

σ = standard deviation = 2 yards

z = (45 - 40)/2 = 2.50

The p-value for a one-tailed test for z-test statistic of 2.50 is 0.00621

d) The sketch of the graph is presented in the attached image.

The interpretation of p-values is that

When the (p-value > significance level), we fail to reject the null hypothesis and when the (p-value < significance level), we reject the null hypothesis and accept the alternative hypothesis.

So, for this question, significance level = 0.05

p-value = 0.00621

0.00621 < 0.05

Hence,

p-value < significance level

This means that we reject the null hypothesis & accept the alternative hypothesis and say that there is enough evidence to conclude that the adjusted grip leads to more distance on the thrown ball.

Hope this Helps!!!

5 0
3 years ago
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