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Zigmanuir [339]
4 years ago
14

Write each percent as a fraction in simplest form 82%

Mathematics
1 answer:
almond37 [142]4 years ago
8 0
4.1/25 would be it I believe
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Find the mean absolute deviation for each set of data:
aivan3 [116]

Answer:

1) 1.8

2) 1.7

Step-by-step explanation:

(for part A)

Mean: 3 + 5 + 6 + 3 + 2 + 2 + 1 + 0 + 0 + 4 + 7 + 4 + 5 + 5 + 6 = 53/15 = 3.5

3.5 - 3 = 0.5

3.5 - 5 = 1.5

3.5 - 6 = 2.5

3.5 - 3 = 0.5

3.5 - 2 = 1.5

3.5 - 2 = 1.5

3.5 - 1 = 2.5

3.5 - 0 = 3.5

3.5 - 0 = 3.5

3.5 - 4 = 0.5

3.5 - 7 = 3.5

3.5 - 4 = 0.5

3.5 - 5 = 1.5

3.5 - 5 = 1.5

3.5 - 6 = 2.5

mean absolute deviation: 0.5 + 1.5 + 2.5 + 0.5 + 1.5 + 1.5 + 2.5 + 3.5 + 3.5 + 0.5 + 3.5 + 0.5 + 1.5 + 1.5 + 2.5 = 27.5/15 = 1.8

(part B)

Mean: -3 + -2 + -1  + 0 + 1 + 2 + 3 = 0/7 = 0

0 - (-3) = 3

0 - (-2) = 2

0 - (-1) = 1

0 - 0 = 0

0 - 1 = 1

0 - 2 = 2

0 - 3 = 3

mean absolute deviation: 3 + 2 + 1 + 0 + 1 + 2 + 3 = 12/7 = 1.7

3 0
3 years ago
List the first five multiples of the number 8 ​
pentagon [3]
Answer is :::::1,2,4,8
7 0
4 years ago
Read 2 more answers
A random sample of 16 students selected from the student body of a large university had an average age of 25 years. We want to d
kenny6666 [7]

Answer:

z=\frac{25-24}{\frac{2}{\sqrt{16}}}=2    

p_v =2*P(Z>2)=0.0455  

If we compare the p value and the significance level given \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can conclude that the true mean differs from 24 at 5% of significance

Step-by-step explanation:

Data given and notation  

\bar X=25 represent the sample mean

\sigma=2 represent the sample population deviation for the sample  

n=16 sample size  

\mu_o =24 represent the value that we want to test

\alpha=0.05 represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

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

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the true mean is different from 24, the system of hypothesis would be:  

Null hypothesis:\mu = 24  

Alternative hypothesis:\mu \neq 24  

If we analyze the size for the sample is < 30 but we know the population deviation so is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:  

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}}  (1)  

z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic

We can replace in formula (1) the info given like this:  

z=\frac{25-24}{\frac{2}{\sqrt{16}}}=2    

P-value

Since is a two sided test the p value would be:  

p_v =2*P(Z>2)=0.0455  

Conclusion  

If we compare the p value and the significance level given \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can conclude that the true mean differs from 24 at 5% of significance

6 0
4 years ago
What is the length of the red line segment on the number line?
Marianna [84]

Step-by-step explanation:

I think it's D 1 1/2......

8 0
3 years ago
Read 2 more answers
Tell whether the sequence is Arithmetic, Geometric, or Neither. -5, 95, 195, 295, 395
Arlecino [84]
Arithmetic 
rule: +100
4 0
4 years ago
Read 2 more answers
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