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MIP2602 ASSIGNMENT 4 2023

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MIP2602

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University Of South Africa (Unisa)

Question 1 1.1 What type(s) of data are best for using the following? 1.1.1 A stem-and-leaf plot: Stem-and-leaf plots are best suited for displaying small to moderate-sized datasets of quantitative data. They help you understand the distribution of the data and show individual data points.

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Uploaded on August 22, 2023
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2023

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MIP2602
ASSIGNMENT 4
2023

, Question 1

1.1 What type(s) of data are best for using the following?

1.1.1 A stem-and-leaf plot: Stem-and-leaf plots are best suited for displaying
small to moderate-sized datasets of quantitative data. They help you
understand the distribution of the data and show individual data points.

1.1.2 A bar chart: Bar charts are effective for categorical or discrete data,
where you want to compare the frequency or count of different categories.

1.1.3 Pie chart: Pie charts work well when you want to represent parts of a
whole, typically used for categorical data where the proportions of each
category are important.

1.1.4 Scatter plot: Scatter plots are used to visualize the relationship between
two continuous variables. They are suitable for showing the correlation or
trend between two sets of data points.

1.1.5 Line graph: Line graphs are useful for displaying trends or changes over
time. They are commonly used for time-series data or when there's a
continuous relationship between variables.

1.1.6 A histogram: Histograms are ideal for displaying the distribution of
continuous data. They show the frequency of data points falling within specific
intervals (bins).

1.1.7 Box-and-whisker plot: Box-and-whisker plots are great for summarizing
the distribution and variability of a dataset. They show the median, quartiles,
and potential outliers.

1.2 How is the bar graph better than the pictograph?

Bar graphs are better than pictographs for several reasons:

Accuracy: Bar graphs accurately represent the values of each category using
uniform bars, whereas pictographs can sometimes be misleading due to
varying sizes of pictorial representations.

Precision: Bar graphs allow for precise comparison of values, while
pictographs might not convey the exact quantities as well.
Clarity: Bar graphs are usually clearer and easier to understand, especially for
complex datasets with multiple categories.

Data Integrity: Bar graphs are less prone to misinterpretation, as pictographs
may unintentionally distort the perception of the data.

1.3 When should we make use of scatter plot graphs?

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