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zayboogey04
28.08.2020 •
Mathematics
"When comparing the means of two independent samples, the population standard deviations will almost always be"
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Ответ:
Check this answer!
Step-by-step explanation:
The comparison of two independent population means is very common and provides a way to test the hypothesis that the two groups differ from each other. Is the night shift less productive than the day shift, are the rates of return from fixed asset investments different from those from common stock investments, and so on? An observed difference between two sample means depends on both the means and the sample standard deviations. Very different means can occur by chance if there is great variation among the individual samples. The test statistic will have to account for this fact. The test comparing two independent population means with unknown and possibly unequal population standard deviations is called the Aspin-Welch t-test.
In simple terms, The population standard deviation is a parameter, which is a fixed value calculated from every individual in the population. A sample standard deviation is a statistic. This means that it is calculated from only some of the individuals in a population. Since the sample standard deviation depends upon the sample, it has greater variability. Thus the standard deviation of the sample is greater than that of the population
Because: reason:
Since the sample standard deviation depends upon the sample, it has greater variability. Thus the standard deviation of the sample is greater than that of the population.
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Ответ:
10 team members
Step-by-step explanation:
In terms of fraction,
Pizza = 1
Pizza eaten by coach = 1/6
Pizza leftover = Total pizza - pizza eaten by coach
Pizza leftover = 1 - 1/6
Pizza leftover = 5/6
Each team member ate 1/12 of the pizza
Team members : y
1/12 * y = 5/6
y = (5x12)/(6x1)
y = 10 team members
Therefore, 10 team members can eat the pizza.