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nikklg [1K]
3 years ago
8

John can reach 60 centimeters above the top of his head. If John is 2 meters tall, how high can he reach?

Mathematics
1 answer:
sineoko [7]3 years ago
8 0

<em>Greetings!</em>

First, we know that <em>one</em> meter equals 100 centimeters, therefore,<em> two</em> meters equals 200 centimeters.

Here is your expression:

200 cm + 60 cm

Using our math skills, we know that 200 cm (2m) + 60 cm equals 260 cm or 2 meters and 60 centimeters.

Your answer would be 260 cm <em>or</em> 2 meters and 60 centimeters.

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rosijanka [135]

Answer:

coefficient variables

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3 years ago
The area of the sandbox is 56 2/3 square feet. The width is 8 1/2 feet. What is the length? Hint: Divide area by length
sertanlavr [38]

Answer:

20/3 ft or 6 2/3 ft

Step-by-step explanation:

A = 56 2/3 sq ft

W = 8 1/2 ft

L = ?

A = LW

L = A/W

L = \dfrac{A}{W}

L = \dfrac{56~\frac{2}{3}~sq~ft}{8~\frac{1}{2}~ft}

Change the mixed numbers into fractions.

a\frac{b}{c} = \dfrac{ac + b}{c}

L = \dfrac{\frac{56 \times 3 + 2}{3}}{\frac{8 \times 2 + 1}{2}}

L = \dfrac{\frac{170}{3}}{\frac{17}{2}}

L = \dfrac{170}{3} \div \dfrac{17}{2}

L = \dfrac{170}{3} \times \dfrac{2}{17}

L = \dfrac{170 \times 2}{3 \times 17}

L = \dfrac{17 \times 10 \times 2}{3 \times 17}

L = \dfrac{10 \times 2}{3}

L = \dfrac{20}{3}

Answer: 20/3 ft or 6 2/3 ft

4 0
4 years ago
4(x+1.5)=38 solve for x
Kitty [74]

Answer:

x = 8

Step-by-step explanation:

4(x+1.5)=38

Distribute the 4

4x +6 = 38

Subtract 6 from each side

4x+6-6 = 38-6

4x = 32

Divide each side by 4

4x/4 = 32/4

x = 8

3 0
4 years ago
Solve -0.5y &gt; 15. Check your solution.
Sedbober [7]
The following answer is:


y<<span>−<span>30

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3 0
4 years ago
Read 2 more answers
Historically, the proportion of people who trade in their old car to a car dealer when purchasing a new car is 48%. Over the pre
choli [55]

Answer:

z=\frac{0.4 -0.48}{\sqrt{\frac{0.48(1-0.48)}{115}}}=-1.717  

p_v =P(z  

So the p value obtained was a very low value and using the significance level given \alpha=0.1 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of people that have traded in their old car is lower than 0.48 or 48%.  

Step-by-step explanation:

Data given and notation

n=115 represent the random sample taken

X=46 represent the number of people that have traded in their old car.

\hat p=\frac{46}{115}=0.4 estimated proportion of people that have traded in their old car

p_o=0.48 is the value that we want to test

\alpha=0.1 represent the significance level

Confidence=90% or 0.9

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the proportion is less than 0.48.:  

Null hypothesis:p\geq 0.48  

Alternative hypothesis:p < 0.48  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.4 -0.48}{\sqrt{\frac{0.48(1-0.48)}{115}}}=-1.717  

Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level provided \alpha=0.1. The next step would be calculate the p value for this test.  

Since is a left tailed test the p value would be:  

p_v =P(z  

So the p value obtained was a very low value and using the significance level given \alpha=0.1 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of people that have traded in their old car is lower than 0.48 or 48%.  

4 0
4 years ago
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