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2 years ago

If Luke's brother earns $15 per hour, he will get a 6% increase per hour. How

Mathematics

1 answer:

jeka942 years ago

5 0

Luke’s brother will now make $15.90 per hour.

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kati45 [8]

The answer will be 0;7 and 2;112.

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3 years ago

9. In a school, there are 120 students in a particular year group. Out of those students, 100 study

Tresset [83]

This does not make any sense I don’t know how to help you out sorry

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3 years ago

1. Judging by appearance, classify the figure in as many ways as possible.

Ksju [112]

Based on the given figure above, the correct answer would be option A. Judging by appearance, the figure can be classified by the following: <span>rectangle, square, quadrilateral, parallelogram, and rhombus. It cannot be classified as a rectangle nor as a trapezoid. Hope this answers your question. </span>

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3 years ago

Show all work!!!!! brainleist will be given!

Gala2k [10]

Answer:

+30

Step-by-step explanation:

1255- 1075 = 180

180 /6 = 30

4 0

3 years ago

The town of Hayward (CA) has about 50,000 registered voters. A political research firm takes a simple random sample of 500 of th

Ilia_Sergeevich [38]

Answer:

(0.0757;0.1403)

Step-by-step explanation:

1) Data given and notation

Republicans =115

Democrats=331

Independents=54

Total= n= 115+331+54=500

$\hat p_{ind}=\frac{54}{500}=0.108$

Confidence=0.98=98%

2) Formula to use

The population proportion have the following distribution

$\hat p \sim N(p,\sqrt{\frac{p(1-p)}{n}})$

The confidence interval for the population proportion is given by this formula

$\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p(1-\hat p)}{n}}$

We have the proportion of independents calculated

$\hat p_{ind}=\frac{54}{500}=0.108$

We can calculate $\alpha=1-conf=1-0.98=0.02$

And we can find $\alpha/2 =0.02/2=0.01$ , with this value we can find the critical value $z_{\alpha/2}$ using the normal distribution table, excel or a calculator.

On this case $z_{\alpha/2}=2.326$

3) Calculating the interval

And now we can calculate the interval:

$0.108 - 2.326\sqrt{\frac{0.108(1-0.108)}{500}}=0.0757$

$0.108 + 2.326\sqrt{\frac{0.108(1-0.108)}{500}}=0.1403$

So the 98% confidence interval for this case would be:

(0.0757;0.1403)

7 0

3 years ago