Calculate and interpret relative measures of variability for the Daily Income for each of the three categories of Type of service.

3. Describe why data description using graphical methods sometimes is not sufficient b. measures of central tendency sometimes misslead

Name all of the following data sets that you would expect to be skewed. I. waiting times at the bankII. salaries of teachersIII. the selling price of homes IV. fuel efficiency of compact cars II and III IandII I, II, and III IV

Explain what a box and whisker plot is and how we use it to understand central tendency and variability.

Each year forbes ranks the world’s most valuable brands. A portion of the data for 82 ofthe brands in the 2013 forbes list is shown in Table 2.12 (forbes website, february, 2014).The data set includes the following variables:brand: The name of the brand.Industry: The type of industry associated with the brand, labeled Automotive& Luxury, Consumer Packaged Goods, financial Services, Other, Technology.brand Value ($ billions): A measure of the brand’s value in billions of dollarsdeveloped by forbes based on a variety of financial information about the brand.1-Yr Value Change (%): The percentage change in the value of the brand over theprevious year.brand Revenue ($ billions): The total revenue in billions of dollars for the brand.a. Prepare a crosstabulation of the data on Industry (rows) and brand Value ($ billions).Use classes of 0–10, 10–20, 20–30, 30–40, 40–50, and 50–60 for brand Value($ billions).b. Prepare a frequency distribution for the data on Industry.

Define the term Qualitative variable with example?

Which set of variables has correlation and causation? A. distance traveled and money spent on gas B. distance traveled and money spent on snacks C. distance traveled and number of drinks consumed D. distance traveled and time spent listening to music

True or false. When drawing a scatter diagram, the explanatory variable is placed along the vertical axis.

Is the following nominal, ordinal, or interval data? Explain your answer.  Stock prices

The trend of thinner beauty pageant winners has generated charges that the contest encourages unhealthy diet habits among young women. Listed below are body mass indexes​ (BMI) for beauty pageant winners from two different time periods.  Find the coefficient of variation for each of the two sets of​ data, then compare the variation.                       The coefficient of variation for the​ BMI's of beauty pageant winners from the 1920s and 1930s is  %