True or False 4) The standard deviation describes the differences between x. 5) Keep other factors constant, the standard error with a sample size of 50 islarger than the standard error with a sample size of 100. 6) Keeping other factors constant, the 90% CI has a broader range with a samplesize of 50 than with a sample size of 100. 7) Keeping other factors constant, the 99% CI has a broader range than the 95% CI.
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
True or False
4) The standard deviation describes the differences between x.
5) Keep other factors constant, the standard error with a
6) Keeping other factors constant, the 90% CI has a broader
7) Keeping other factors constant, the 99% CI has a broader range than the 95% CI.
Step by step
Solved in 2 steps
