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OlgaM077 [116]
2 years ago
5

Which of the following statements is true There’s the image bellow

Mathematics
2 answers:
hoa [83]2 years ago
8 0
I believe it’s the third one

(0, 0)
CaHeK987 [17]2 years ago
6 0

Answer:

(0,0) is a solution to n+m is the correct answer!

Step-by-step explanation:

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What is the product of 9 and -7?
kolezko [41]

Answer:

The product of 9 and -7 is -63

Step-by-step explanation:

Hope This Helped!

3 0
3 years ago
Whats the decimal equivalent of 1\4
Vesnalui [34]
The decimal equivalent of 1/4 is 0.25.
7 0
3 years ago
the debate club has 6 members. each member will debate each of the other members exactly once. how many total debates will there
Bezzdna [24]
3 I think hope it helps
6 0
3 years ago
Read 2 more answers
Which of the following is not true for adding mixed numbers?
chubhunter [2.5K]

1.which of the following is not true for adding mixed numbers?

A.the denominators of the fractions must be the same in order to add them.

B.you can add mixed numbers by changing them into improper fractions or by using a number line.

C.the sum of the mixed numbers written as an improper fraction is in simplest form.

D.the sum of the mixed numbers must be written in simplest form


The answer is C

5 0
3 years ago
Previously, an organization reported that teenagers spent 4.5 hours per week, on average, on the phone. The organization thinks
Fudgin [204]

Answer:

The teenagers spent 4.5 hours per week, on average, on the phone.

Step-by-step explanation:

We are given the following in the question:  

Population mean, μ = 4.5

Sample mean, \bar{x} = 4.75

Sample size, n = 15

Alpha, α = 0.05

Sample standard deviation, s = 2

First, we design the null and the alternate hypothesis

H_{0}: \mu = 4.5\text{ hours per week}\\H_A: \mu > 4.5\text{ hours per week}

We use one-tailed(right) t test to perform this hypothesis.

Formula:

t_{stat} = \displaystyle\frac{\bar{x} - \mu}{\frac{s}{\sqrt{n}} }

Putting all the values, we have

t_{stat} = \displaystyle\frac{4.75 - 4.5}{\frac{2}{\sqrt{15}} } = 0.4841

Now,

t_{critical} \text{ at 0.05 level of significance, 14 degree of freedom } = 1.76

Since,                  

t_{stat} < t_{critical}

We accept the null hypothesis.  Thus, the teenagers spent 4.5 hours per week, on average, on the phone. The sample contradicted the organization's claim.

7 0
3 years ago
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