Give two reasons why the use of smooth curves to describe shapes of distributions is helpful.

Derive a formula for the coefficient of variation in a continuous uniform distribution

The standard error of the mean (Qx) is a(n)   estimate of population means which make up the sampling distribution. indication of variability in the distribution of sample means indication of variability in the raw data derived from the sample measure of variability in the population

The central limit theorem is vital in statistics for two main reasons—the normality assumption and the precision of the estimates. Elaborate.

What are the steps for the Constructing Relative Frequency Distributions?

Which univariate graph for frequency would be reasonable to use to depict continuous data? Histogram or bar or pie chart

Mrs. Paolano is interested in buying a new car and wants to investigate how much it will cost. She does a search of used cars on Carvana and finds 35 she is interested in. The prices, in thousands of dollars, of those cars are given in the table below. What best describes the shape of the distribution of car prices?    a skewed to the right  b skewed to the left  c uniform  d bimodal  e approximately normal

Because most data vaules are on the left of a graph, we would say that a dot plot shows a distribution that is skewed to the left? it will be true correct

Briefly explain specifically why categorical and quantitative variables require different methods in order to describe their distributions.   A correct answer will accurately address BOTH types of variables and clearly explain the REASONS these two types of variables REQUIRE different methods.   Be sure to address WHY the methods differ not just WHAT methods are used in each case.

Describe the descriptive statistics between the two variables.