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ioda
4 years ago
6

What is the third quartile of this data set 20,21,24,25,28,29,35,36,37,43,44

Mathematics
2 answers:
dedylja [7]4 years ago
7 0

The third quartile is 37.Apex

SashulF [63]4 years ago
6 0

Answer:

37

Step-by-step explanation:

The data set is in ascending order, thus the median is the middle value of the data set.

median = 29

The third quartile is the middle value of the data to the right of the median

Q_{3} = 37

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x = (18.5)(10)/1 = 185 inches

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What is the value of the function at x=3
Damm [24]

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4

Step-by-step explanation:

Since the line of the function is passing through the point (3, 4).

Here x = 3 and y = 4

So the value of the function at x=3 is 4.

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3 years ago
Are there more children diagnosed with Autism Spectrum Disorder (ASD) in states that have larger urban areas over states that ar
Colt1911 [192]

Answer:

z=\frac{0.0211-0.0132}{\sqrt{0.0141(1-0.0141)(\frac{1}{18440}+\frac{1}{2123})}}=24.827  

p_v =P(Z>24.827)\approx 0  

So the p value is a very low value and using any significance level for example \alpha=0.05, 0,1,0.15 always p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can say the the proportion of children with ASD in Utah is significantly higher than the proportion of children with ASD in Pennsylvania

Step-by-step explanation:

Data given and notation  

X_{P}=245 represent the number of children with ASD in Pennsylvania

X_{U}=45 represent the number of children with ASD in Utah

n_{P}=18440 sample for Pennsylvania

n_{U}=2123 sample for Utah

p_{P}=\frac{245}{18440}=0.0133 represent the proportion of children with ASD in Pennsylvania

p_{U}=\frac{45}{2123}=0.0212 represent the proportion of children with ASD in Utah

z would represent the statistic (variable of interest)  

p_v represent the value for the test (variable of interest)

Concepts and formulas to use  

We need to conduct a hypothesis in order to check if the proportion for Utah is higher than the proportion for Penssylvania  , the system of hypothesis would be:  

Null hypothesis:p_{U} \leq p_{P}  

Alternative hypothesis:p_{U} > \mu_{p}  

We need to apply a z test to compare proportions, and the statistic is given by:  

z=\frac{p_{U}-p_{P}}{\sqrt{\hat p (1-\hat p)(\frac{1}{n_{U}}+\frac{1}{n_{P}})}}   (1)

Where \hat p=\frac{X_{U}+X_{P}}{n_{U}+n_{P}}=\frac{245+45}{18440+2123}=0.0141

Calculate the statistic

Replacing in formula (1) the values obtained we got this:  

z=\frac{0.0211-0.0132}{\sqrt{0.0141(1-0.0141)(\frac{1}{18440}+\frac{1}{2123})}}=24.827  

Statistical decision

For this case we don't have a significance level provided \alpha, but we can calculate the p value for this test.  

Since is a one right tailed test the p value would be:  

p_v =P(Z>24.827)\approx 0  

So the p value is a very low value and using any significance level for example \alpha=0.05, 0,1,0.15 always p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can say the the proportion of children with ASD in Utah is significantly higher than the proportion of children with ASD in Pennsylvania

6 0
3 years ago
81.46 rounded to the nearest whole number
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Answer:

81

Step-by-step explanation:

<u>Step 1:  Round to the nearest whole number</u>

81.46

<em>81</em>

<em />

Answer:  81

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BlackZzzverrR [31]

Answer:

b

Step-by-step explanation:

the like terms are +6y and +9y because they both have y as the variable

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3 years ago
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