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3 years ago

Can someone please help me on this one I’ve been stuck on it for like a week now:/

Mathematics

1 answer:

Anna35 [415]3 years ago

7 0

Answer:

you can get the answer to it on( math w ay ) super h.elpful

Step-by-step explanation:

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fomenos

$( \frac{9}{32} \times \frac{5}{6} )\times \frac{8}{15} \\$
Let's do the bracket part first,
and solve further as shown,
$( \frac{3}{32} \times \frac{5}{2}) \times \frac{8}{15} \\ = \frac{15}{64} \times \frac{8}{15} \\ = \frac{8}{64} \\ = \frac{1}{8}$

4 0

3 years ago

Please dont put any files or links. answer each equation please.

Lynna [10]

Answer:

23 thousandths. =  23 ÷ 10^3

9+4 × (6÷3) > (9+4×6) ÷ 3

5 tens + 2 hundredths. < 50.20

810.6 ÷ 10. = 8.106 × 10

7 0

3 years ago

I need help please Will mark brainliest. Thank you so much.

Ipatiy [6.2K]

The answer is, 168.....(extra characters)

4 0

4 years ago

I’ll mark brainliest

natta225 [31]

A:C

Step-by-step explanation:

6 0

3 years ago

An engineer designed a valve that will regulate water pressure on an automobile engine. The engineer designed the valve such tha

ddd [48]

Answer:

We conclude that the valve performs above the specifications.

Step-by-step explanation:

We are given the following in the question:

Population mean, μ = 6.3 pounds per square inch

Sample mean, $\bar{x}$ = 6.5 pounds per square inch

Sample size, n = 130

Alpha, α = 0.02

Population standard deviation, σ = 0.8

First, we design the null and the alternate hypothesis

$H_{0}: \mu = 6.3\text{ pounds per square inch}\\H_A: \mu > 6.3\text{ pounds per square inch}$

We use one-tailed z test to perform this hypothesis.

Formula:

$z_{stat} = \displaystyle\frac{\bar{x} - \mu}{\frac{\sigma}{\sqrt{n}} }$

Putting all the values, we have

$z_{stat} = \displaystyle\frac{6.5 - 6.3}{\frac{0.8}{\sqrt{130}} } = 2.85$

Now, $z_{critical} \text{ at 0.02 level of significance } = 2.05$

Decision rule:

If the calculated statistic is greater than the the critical value, we reject the null hypothesis and if the calculated statistic is lower than the the critical value, we accept the null hypothesis

Since,

$z_{stat} > z_{critical}$

We fail to accept the null hypothesis and reject the null hypothesis. We accept the alternate hypothesis.

Thus, we conclude that the valve performs above the specifications.

3 0

3 years ago