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nataly862011 [7]
3 years ago
7

An airplane flies 105 miles in ½ hour. How far can it fly in 1 ¼ hours at the same rate of speed?

Mathematics
1 answer:
djverab [1.8K]3 years ago
4 0

Answer:

262.5 miles

Step-by-step explanation:

Correct me if I am wrong

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2x+4y+8=0 y x+2y−4=0
Snezhnost [94]

Answer: https://mathsolver.microsoft.com/en/solve-problem/2x+4y-8=0

Step-by-step explanation: you should find your answer there

7 0
3 years ago
Explain how to perform a​ two-sample z-test for the difference between two population means using independent samples with known
iren2701 [21]

Answer:

The steps 1-7 have been explained

Step-by-step explanation:

The steps are;

1) We will verify that the population standard deviations are known and that the population is normally distributed which means the sample size must be a minimum of 30.

2) We will state the null and alternative hypothesis

3) We will determine the critical values from the relevant tables

4) From the critical values gotten, we will determine it's corresponding region where it can be rejected.

5)We will calculate the value of the test statistic from the formula;

z = [(x1' - x2') - (μ1 - μ2)]/√[((σ1)²/n1) + ((σ2)²/n2)]

6) If the value of the test statistic gotten from step 5 above falls in the region of rejection noted in step 4,then we will reject the null hypothesis

7) After rejection of the null hypothesis, we will now give a decision/conclusion on the claim.

5 0
3 years ago
What is x² + x + 49 on 2020 edg?
Verdich [7]

Answer:

259

Step-by-step explanation:

6 0
3 years ago
For the triangles to be similar by the SSS similarity theorem, what must be the value of y?
tino4ka555 [31]

Answer:20

Step-by-step explanation:

7 0
3 years ago
Read 2 more answers
23. The Central Limit Theorem states that: (a) if n is large then the distribution of the sample can be approximated closely by
emmasim [6.3K]

Answer:

(c) if n is large, then the sampling distribution of the sample mean can be approximated closely by a normal curve.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample mean, with a large sample size, can be approximated to a normal distribution with mean \mu and standard deviation \frac{\sigma}{\sqrt{n}}.

This is valid no matter the shape of the population.

So the correct answer is:

(c) if n is large, then the sampling distribution of the sample mean can be approximated closely by a normal curve.

5 0
4 years ago
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