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Ostrovityanka [42]
3 years ago
9

Solve X 5x + 15 = 35

Mathematics
2 answers:
kow [346]3 years ago
7 0
5x+15=35
-15 = -15
5x=20
— = —
5 5

x= 4
tatiyna3 years ago
5 0

Answer:

x = 4

Step-by-step explanation:

5x + 15 = 35

subtract 15 from each side of the equation:

5x = 20

divide both sides by 5:

x = 4

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Please help asap I wasn’t here for this so I don’t know
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First 25% 10 - 22.5

Next 25% 22.5 - 35

Third 25% 35 - 47.5

Last 25% 47.5 - 60

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First get the median of the entire data.

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7 0
3 years ago
Abnormalities In the 1980s, it was generally believed that congenital abnormalities affected about 5% of the nation’s chil-dren.
Ainat [17]

Answer:

Null hypothesis:p\leq 0.05  

Alternative hypothesis:p>0.05

The conditions and requirements are explained on detail below.

Step-by-step explanation:

1) Data given and notation n  

n=384 represent the random sample taken  

X=46 represent the children with abnormalities in the sample

\hat p=\frac{46}{384}=0.120 estimated proportion of children with abnormalities in the sample

p_o=0.05 is the value that we want to test  

\alpha represent the significance level (no given)  

z would represent the statistic (variable of interest)  

p_v represent the p value (variable of interest)  

p= proportion of children with congenital abnormalities

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the proportion of children with congenital abnormalities exceeds 5%. :  

Null hypothesis:p\leq 0.05  

Alternative hypothesis:p>0.05

We assume that the proportion follows a normal distribution.  

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,higher or less) from a hypothesized value p_o.  

<em>Check for the assumptions that he sample must satisfy in order to apply the test</em>

a)The random sample needs to be representative: On this case the problem no mention about it but we can assume it.

b) The sample needs to be large enough

np_o =384*0.05=19.2>10

n(1-p_o)=384*(1-0.05)=364.8>10

3) Calculate the statistic  

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

z=\frac{0.120 -0.05}{\sqrt{\frac{0.05(1-0.05)}{384}}}=6.29

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 significance level is not provided usually is \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a one side test the p value would be:  

p_v =P(z>6.29)=1.59x10^{-10}  

Based on the p value obtained and using the significance level given \alpha=0.05 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 children with abnormalities exceeds 0.05 or 5% .  

4 0
4 years ago
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