Answer :
On solving the provided question, we cans ay that by standard deviation, [tex]SE = 0.1590 (approx.)[/tex]
What is standard deviation?
Standard deviation, or variance in a collection of values, is a measure of variation or variance in statistics. A low standard deviation suggests that the values are more likely to be close to the set's mean, whereas a large standard deviation suggests that the values are widely dispersed. Standard deviation, or variance in a collection of values, is a measure of variation or variance in statistics. A low standard deviation suggests that the values are more likely to be close to the set's mean, whereas a large standard deviation suggests that the values are widely dispersed.
By sample standard deviation, we mean standard error. Hence, we have that:
Therefore, Standard deviation[tex]= 0.6929891[/tex]
The sample size [tex](n) = 19.[/tex]
Hence:
[tex]SE = 0.1589826.\\ SE = 0.1590 (approx.)[/tex]
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