1) One can think of the mean as a balance point. How does this tell to the requirement of squaring the deviations in order to find out the variance?
2) What do you mean by random sampling and why is it so significant
3) Now assume the distribution of SAT scores is normal with a mean of µ = 500 and the standard deviation σ is unknown. If a mean SAT score is calculated from a sample of n = 100 students from this population, and standard deviation of those students’ scores is s = 125.
A. What range of values must hold the sample mean 95% of the time?
B. What range of values must hold the sample mean 99% of the time
4) The distribution of SAT scores is normal with a mean of µ = 500 and a standard deviation of σ = 100. If the mean SAT score is calculated from a sample of n = 100 students from this population…
A. What range of values must hold the sample mean 95% of the time?
B. What range of values must hold the sample mean 99% of the time?