Statement that describes the difference that exists between an online identity and a real-life one is Online identities are more flexible.
Online identities can be regarded as the identity that is been presented on the internet and this is usually different from the real life identity.
This is because on internet different means can be used to have fake identity and this is different from real world.
We can conclude that difference between online identity and a real-life one is flexibility.
CHECK THE COMPLETE RELATED QUESTION BELOW;
What BEST describes the difference between an online identity and a real-life one?
Online identities are decided for you.
Online identities are short-lived.
Online identities are more flexible.
Online identities are forced on you
Learn more about online identity at:
brainly.com/question/7331447
Answer:
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Explanation:
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Answer:
a. 99.30% of the woman meet the height requirement
b. If all women are eligible except the shortest 1% and the tallest 2%, then height should be between 58.32 and 68.83
Explanation:
<em>According to the survey</em>, women's heights are normally distributed with mean 63.9 and standard deviation 2.4
a)
A branch of the military requires women's heights to be between 58 in and 80 in. We need to find the probabilities that heights fall between 58 in and 80 in in this distribution. We need to find z-scores of the values 58 in and 80 in. Z-score shows how many standard deviations far are the values from the mean. Therefore they subtracted from the mean and divided by the standard deviation:
z-score of 58 in=
= -2.458
z-score of 80 in=
= 6.708
In normal distribution 99.3% of the values have higher z-score than -2.458
0% of the values have higher z-score than 6.708. Therefore 99.3% of the woman meet the height requirement.
b)
To find the height requirement so that all women are eligible except the shortest 1% and the tallest 2%, we need to find the boundary z-score of the
shortest 1% and the tallest 2%. Thus, upper bound for z-score has to be 2.054 and lower bound is -2.326
Corresponding heights (H) can be found using the formula
and
Thus lower bound for height is 58.32 and
Upper bound for height is 68.83
Using it's concept, it is found that the sample mean of cars sold per week is of 4.96.
<h3>What is the mean?</h3>
The mean of a data-set is given by the <u>sum of all observations in the data-set divided by the number of observations</u>.
In this problem, the sum of the 26 observations is given by:
S = 1 + 1 + 4 + 2 + 4 + 10 + 8 + 5 + 9 + 6 + 1 + 5 + 6 + 5 + 7 + 1 + 4 + 6 + 8 + 9 + 2 + 5 + 9 + 5 + 3 + 3 = 129.
Hence the mean is given by:
M = 129/26 = 4.96.
More can be learned about the mean concept at brainly.com/question/25122507
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