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Business Analytics Exam queries and answers graded A+

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Business Analytics Exam queries and answers graded A+

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Business Analytics Exam queries
and answers graded A+
Histogram - ANS✅✅Similar to a bar chart with the bin counts used as the heights of the bars.
Note: there are no gaps between bars unless there are actual gaps in the data.

Bins are usually in multiples of 5 or 10



Stem-and-Leaf Display - ANS✅✅Like histograms, but they also give individual values

Stem is the first number, leaf is the second

Ex) 2|1



Categorical Data cannot be displayed in which graphs? - ANS✅✅Histograms and Stem-and-Leaf
Diagrams



Quantitative Data cannot be displayed in what kind of charts? - ANS✅✅Bar Charts, or Pie Charts



How do you describe the shape of a distribution? - ANS✅✅In terms of its modes, symmetry, and
whether it has any gaps or outlying values.



What are modes? - ANS✅✅Peaks or humps seen in an Histogram



A distribution whose histogram doesn't appear to have any mode and in which all the bars are
approximately the same height is called what? - ANS✅✅Uniform



Tails - ANS✅✅The thinner ends of a distribution



If one tail stretches out farther than the other, the distribution is said to be what? -
ANS✅✅Skewed to the side of the longer tail



Outliers - ANS✅✅Those values that stand off away from the body of the distribution



4 Characteristics of Outliers - ANS✅✅1. Can affect every statistical method we will study.

, 2. Can be the most informative part of your data.

3. May be an error in the data.

4. Should be discussed in any conclusions drawn about the data.



Why is the median said to be resistant? - ANS✅✅Because it isn't affected by unusual observations
or by the shape of the distribution



T/F: The median is resistant to unusual observations and to the shape of the distribution. -
ANS✅✅True



T/F: The mean is NOT resistant to unusual observations and to the shape of the distribution. -
ANS✅✅True



What is the best choice for skewed data? - ANS✅✅Median



Define Range - ANS✅✅Range = Max - Min



Quartiles - ANS✅✅The values that frame the middle 50% of the data



Interquartile Range (IQR) - ANS✅✅Defined as the difference between the two quartile values

IQR = Q3 - Q1



Variance - ANS✅✅The average of the squared deviations of the values of the variable y from the
mean

s² = ∑ (y - y prime)²/ n -1



Standard Deviation - ANS✅✅s = √∑ (y - y prime)²/ n -1



If shape is skewed, what should be reported? - ANS✅✅Median and IQR



If the shape is unimodal and symmetric, - ANS✅✅Mean and Standard Deviation should be
reported, and maybe median and IQR

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