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elixir [45]
3 years ago
6

A random survey was taken of 400 people in a city in the United States. The survey found that the three most common eye colors a

re brown, blue, and hazel. Out of the 400 people in the survey, 167 have brown eyes, 132 have blue eyes, and 57 have hazel eyes. Using the survey results, what is the probability that a person has brown or hazel colored eyes? *
A. 189/400 (47.25%)
B. 14/25 (56.00%)
C. 167/400 (41.75%)
D. 57/400 (14.25%)
Mathematics
1 answer:
Nostrana [21]3 years ago
5 0

Answer:

B 14/25(56.00%)

Step-by-step explanation:

167+57=224, which means 224/400(56.00%) people would have brown or hazel eyes. 224/400 is also equivilant to 14/25

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4 years ago
An appliance manufacturer claims to have developed a compact microwave oven that consumes a mean of no more than 250 W. From pre
Shtirlitz [24]

Answer:

Null Hypothesis, H_0 : \mu \leq 250 W  

Alternate Hypothesis, H_A : \mu > 250 W    

Step-by-step explanation:

We are given that an appliance manufacturer claims to have developed a compact microwave oven that consumes a mean of no more than 250 W.

They take a sample of 20 microwave ovens and find that they consume a mean of 257.3 W.

<u><em>Let </em></u>\mu<u><em> = mean power consumption of microwave ovens.</em></u>

So, Null Hypothesis, H_0 : \mu \leq 250 W  

Alternate Hypothesis, H_A : \mu > 250 W    

Here, <u>null hypothesis states tha</u>t the mean power consumption of microwave ovens is no more than 250 W.

On the other hand, <u>alternate hypothesis sates that</u> the mean power consumption of microwave ovens is more than 250 W.

The test statistics that would be used here is <u>One-sample z test statistics</u> as we know about the population standard deviation;

                       T.S. =  \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

Hence, this would be the appropriate hypotheses to determine if the manufacturer's claim appears reasonable.

5 0
4 years ago
Sum of 3 consecutive integers is 24 find the integers​
atroni [7]

Answer:

8

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5 0
3 years ago
When the outliers are removed, how does the mean change?
jok3333 [9.3K]
<span>In statistics, an outlier is an observation point that is distant from other observations.

Given the points
15, 23, 24, 26, 27 and 35

Notice, that the points 15 and 35 are distance from the other points and hence are outliers.

The mean of the observations including the outliers is given by
\frac{15+23+24+26+27+35}{6} = \frac{150}{6} =25

The mean of the observations without the outliers is given by
\frac{23+24+26+27}{4} = \frac{100}{4} =25

Therefore, </span>when <span>the outliers are removed, the mean remains the same.</span>
3 0
3 years ago
Read 2 more answers
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