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WARRIOR [948]
3 years ago
7

Help help please please

Mathematics
2 answers:
pentagon [3]3 years ago
7 0

Answer:

\sqrt{74}

Step-by-step explanation:

Pythagorean Theorem: a^2 + b^2 = c^2

7^2 + 5^2 = c^2

49 + 25 = c^2

\sqrt{74}

gregori [183]3 years ago
3 0

Answer:

c=√74

Step-by-step explanation:

h=c

p=5

b=7

Using pythogorean theorem,

h^2=p^2+b^2

c=√(7^2+5^2)

c=√(49+25)

c=√74

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Please help me write an equation.
vekshin1

Answer:

k=6

Step-by-step explanation:

Line partition formula

1/b(x2-x1)+x1, 1/b(y2-y1)+y1

Where b is the number partitions.

We know the x values so Subsitue 17 for x2 and 2 for x1. and we know this value must equal 7.

1/b(17-2)+2=7

1/b(15)=5

1/b=1/3

b=3

so the partition is 1/3

\frac{1}{3} (17 - 2) + 2 = 7

So let find the y coordinate

\frac{1}{3} (8 - 5) + 5 = 6

So our y coordinate is 6.

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3 years ago
Four times what gets you fourtheight
lakkis [162]
I think you mean 48. 4 * x = 48. x = 48/4 = 12
5 0
3 years ago
What is y=-5x75+23 divided by 2
mina [271]

Answer:

Exact Form

Y = -727/2

Decimal Form

y = -363.5

Mixed Number Form

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Step-by-step explanation:

3 0
3 years ago
Read 2 more answers
Luke plotted the number of hits he got in his baseball games this season versus the number of games played on a scatter plot. He
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Answer:

Step-by-step explanation:

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7 0
3 years ago
If the level of significance of a hypothesis test is raised from 0.005 to 0.2, the probability of a type ii error will:_________
LiRa [457]

The probability of type II error will decrease if the level of significance of a hypothesis test is raised from 0.005 to 0.2.

<h3 /><h3>What is a type II error?</h3>

A type II error occurs when a false null hypothesis is not rejected or a true alternative hypothesis is mistakenly rejected.

It is denoted by 'β'. The power of the hypothesis is given by '1 - β'.

<h3>How the type II error is related to the significance level?</h3>

The relation between type II error and the significance level(α):

  • The higher values of significance level make it easier to reject the null hypothesis. So, the probability of type II error decreases.
  • The lower values of significance level make it fail to reject a false null hypothesis. So, the probability of type II error increases.
  • Thus, if the significance level increases, the type II error decreases and vice-versa.

From this, it is known that when the significance level of the given hypothesis test is raised from 0.005 to 0.2, the probability of type II error will decrease.

Learn more about type II error of a hypothesis test here:

brainly.com/question/15221256

#SPJ4

7 0
2 years ago
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