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kari74 [83]
2 years ago
7

7B1%7D%7Bb%7D" id="TexFormula1" title="make x the subject of formula in the equation 4a\sqrt{x} =\frac{1}{b}" alt="make x the subject of formula in the equation 4a\sqrt{x} =\frac{1}{b}" align="absmiddle" class="latex-formula">
Mathematics
2 answers:
grigory [225]2 years ago
8 0

Step-by-step explanation:

4a\sqrt{x} = \frac{1}{b} \\\\\sqrt{x} = \frac{1}{4ab}\\\\x=  (\frac{1}{4ab})^{2} \\\\x= \frac{1}{16a^{2}b^{2}  }

kipiarov [429]2 years ago
3 0

Answer: x = (\frac{1}{4ab})^{2}

Step-by-step explanation:

Given:

4a\sqrt{x} = \frac{1}{b}

To make x the subject of the formula means that we want to make x to stand alone , the first thing to do is to multiply through by 1/4a , that is

\sqrt{x} = \frac{1}{4ab}

take the square  of both sides:

x = (\frac{1}{4ab})^{2}

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mafiozo [28]

Hello mate ☺️,

We know that m < 2 = 96°, as,

m < 5 = 96°(Alternate angles are equal)

Now we know that m < 5 = 96°, so,

→ m < 5 + m < 8 = 180°(Linear Pair angles are supplementary)

→ 96° + m < 8 = 180°

→ m < 8 = (180 - 96)°

→ m < 8 = 84°

Therefore, <u>m<5 = 96°</u> & <u>m<8=84°</u>

✍️ <em>By </em><em>Benjemin</em> ☺️

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2 years ago
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Dovator [93]
Bear with my working out lol,

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2 years ago
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A stock has a price of $58.63. This is $5.92 less than the price of the stock yesterday. Write and solve an equation to find the
inysia [295]

Answer: $52.71

Step-by-step explanation:

Today's price= $58.63

Yesterday's price= y

Difference= $5.92

y+5.92 = 58.63

y = 58.63 - 5.92

= $52.71

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2 years ago
How do i solve this?
vazorg [7]
Usually I would use my head, but you can use whatever you want.
3 0
2 years ago
The number of events is 29​, the number of trials is 298​, the claimed population proportion is​ 0.10, and the significance leve
Nina [5.8K]

Answer:

z=\frac{0.0973 -0.1}{\sqrt{\frac{0.1(1-0.1)}{298}}}=-0.155  

p_v =2*P(Z  

And we can use excel to find the p value like this: "=2*NORM.DIST(-0.155;0;1;TRUE)"

So the p value obtained was a very high value and using the significance level given \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of interest is not significantly different from 0.1 .  

Step-by-step explanation:

1) Data given and notation

n=298 represent the random sample taken

X=29 represent the events claimed

\hat p=\frac{29}{298}=0.0973 estimated proportion

p_o=0.1 is the value that we want to test

\alpha=0.05 represent the significance level

Confidence=95% or 0.95

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the proportion is 0.1 or no.:  

Null hypothesis:p=0.1  

Alternative hypothesis:p \neq 0.1  

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.

3) Calculate the statistic  

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

z=\frac{0.0973 -0.1}{\sqrt{\frac{0.1(1-0.1)}{298}}}=-0.155  

4) 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 next step would be calculate the p value for this test.  

Since is a bilateral test the p value would be:  

p_v =2*P(Z  

And we can use excel to find the p value like this: "=2*NORM.DIST(-0.155;0;1;TRUE)"

So the p value obtained was a very high value and using the significance level given \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of interest is not significantly different from 0.1 .  

We can do the test also in R with the following code:

> prop.test(29,298,p=0.1,alternative = c("two.sided"),conf.level = 1-0.05,correct = FALSE)

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