MHB Sampling Distribution of the Sample Means from an Infinite Population

Click For Summary
The individual scores on a national test are normally distributed with a mean of 18.5 and a standard deviation of 7.8. For a sample of 84 students from this population, the mean of the sample mean remains 18.5. The standard deviation of the sample mean is calculated as 7.8 divided by the square root of 84, resulting in approximately 0.85. The variance of the sample mean is the square of the standard deviation, which is about 0.72. This analysis confirms that the sample mean retains the population mean while its variability decreases with larger sample sizes.
bunnypatotie
Messages
8
Reaction score
0
1. Individual students’ scores on a national test have a normal distribution with a mean of 18.5 and a standard deviation of 7.8. At a Trade School, 84 students took the test. If the scores at this school have the same distribution as national scores, what is the mean, standard deviation and variance of the sample mean for 84 students? Assume that in this case the population is infinite.
 
Mathematics news on Phys.org
If, out of a population large enough to be treated as infinite with mean $$\mu$$ and standard deviation [math]\sigma[/math], a sample of size n is taken we can expect the sample to have mean $$\mu$$ and standard deviation [math]\sigma \sqrt{n}[/math].
 
Seemingly by some mathematical coincidence, a hexagon of sides 2,2,7,7, 11, and 11 can be inscribed in a circle of radius 7. The other day I saw a math problem on line, which they said came from a Polish Olympiad, where you compute the length x of the 3rd side which is the same as the radius, so that the sides of length 2,x, and 11 are inscribed on the arc of a semi-circle. The law of cosines applied twice gives the answer for x of exactly 7, but the arithmetic is so complex that the...