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WGU Module 4-stats Exam Questions with correct Answers 2024/2025( A+ GRADED 100% VERIFIED).
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WGU Module 4-stats Exam Questions with correct Answers 2024/2025( A+ GRADED 100% VERIFIED).
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WGU Module 4-statsquantitative data - ANS numerical data
consists of data values that are numerical, representing quantities that can be counted or
measured.
categorical data - ANS qualitative data
consists of data that are groups, such as names or labels, and are not necessarily numerical.
side note - ANS It is possible for numbers to be used as categorical data. For example, the
numbers on the uniforms of basketball players are categorical, because they are used to identify
players, and they do not measure a quantity. Zip codes are another example of numbers that do
not measure quantity but are used to categorize different locations by the postal system.
examples of quantitative data - ANS age, height, weight, blood pressure, and blood cholesterol
level
qualitative data examples - ANS gender, ethnicity, marital status, and eye color
types of graphs for categorical data - ANS pie and bar charts
Each section of a pie chart corresponds to a category of data. True or False? - ANS true
The sum of all the percentages in a pie chart do not always have to add up to 100% . True or
False? - ANS false
it should always add up to 100%
graphs for quantitative data - ANS dot plot
stem plot
box plot
histogram
stem plots - ANS A stem plot is constructed by separating each data value into a stem (usually
the left-most digit) and a leaf (usually the right-most digit). For example, if 36 is a data point, the
3 would be the stem and the 6 would be the leaf. The data is arranged in two columns, stems
and leaves, with a vertical line separating the columns.
The first step in building a dot plot is to draw a horizontal scale. True or False? - ANS This is a
false statement. In order to determine the scale of the horizontal axis, we need to know what the
maximum and minimum values are, so the first step should be arranging the data in increasing
order.
, histogram vs bar chart - ANS In other words, a histogram is used to display frequencies or
relative frequencies for quantitative data; in contrast, a bar chart is used to display frequencies
(i.e., counts) or relative frequencies for categorical data.
making a histogram - ANS t is necessary to decide what intervals, or values, you are going to
use and note how the data is distributed.
The intervals in a histogram need to encompass all of the data collected. It is important to make
sure the minimum* and maximum* values are accounted for, as well as every value in between.
Additionally, make sure that the intervals are comparable and exhaustive. The intervals should
run consecutively so that all data is accounted for and the visual representation of the graph is
accurate.
how to determine how many intervals to use - ANS if you have fewer than 50 measurements-
use 5-7 intervals
50-100 measurements- use 6-10 intervals
100-250 intervals- use 7-12 intervals
> 250= 10-20 intervals
symmetric distribution - ANS symmetric distributions are symmetrical, with the left half of the
histogram being roughly identical to the right half. In other words, if you cut the histogram in half,
each side would be a near-perfect mirror image of each other. It peaks in the center, with the
data points on either side of the central value decreasing in frequency in a fairly symmetrical
manner.
examples-
bell shaped
u shaped
uniform
skewed distribution - ANS distribution that has a "long tail" on one side of the peak. In other
words, the distribution is lopsided and does not have a symmetrical shape. Skewness* is used
to measure the asymmetry of a distribution. When more data falls further to the left of the peak,
it is known as skewed left*. This type of distribution is also referred to as negatively skewed*.
skewed left - ANS when more data falls further to the left of the peak
NEGATIVELY SKEWED
skewed right - ANS when more data falls further to the right of the peak
POSITIVELY SKEWED
u shaped - ANS A U-shaped distribution occurs when a symmetric distribution has a "valley"
rather than a peak:
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