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The mean of a dataset is the average of the dataset.
The mean of the sample in the third row is 2.2
The dataset is given as:
5 5 3 0 6 2 2 4 5 2 3 4 3 0 1 4 0 4 3 6
From the complete question, the samples in the third row are:
Sample: 3 4 3 0 1
The mean of a dataset is calculated using:
Where:
n = 5 i.e. the number of samples
So, we have:
Add the expressions in the numerator
Divide 11 by 5
Hence, the mean of the sample in the third row is 2.2
Read more about mean at:
Using the binomial distribution, it is found that since 16 is more than 2.5 standard deviations above the mean, it is a unusually high number.
<h3>What is the binomial probability distribution?</h3>It is the probability of <u>exactly x successes on n repeated trials, with p probability</u> of a success on each trial.
The expected value of the binomial distribution is:
E(X) = np
The standard deviation of the binomial distribution is:
A measure is considered to be unusually high if it is more than 2.5 standard deviations above the mean.
In this problem, we hav ehtat:
- 34% of companies reject candidates because of information found on their social media, hence p = 0.34.
- 27 human resource professionals are randomly selected, hence n = 27.
Then, we find the threshold for unusually high values as follows:
E(X) = np = 27 x 0.34 = 9.18
T = 9.18 + 2 x 2.46 = 14.1.
Since 16 is more than 2.5 standard deviations above the mean, it is a unusually high number.
More can be learned about the binomial distribution at brainly.com/question/24863377
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