*Presentation Of Quantitative Data Flashcards

(13 cards)

1
Q

What is a normal distribution?

A

A symmetrical spread of frequency data that forms a bell-shaped pattern.

The mean, median, and mode are all located at the highest peak.

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2
Q

What characterizes a skewed distribution?

A

A spread of frequency data that isn’t symmetrical, where the data clusters to one end.

Can be either positively or negatively skewed.

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3
Q

What is a summary table?

A

A way of representing data that is not raw but converted into descriptive statistics.

It is standard practice to include a summary paragraph under the table explaining the numbers and drawing conclusions.

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4
Q

What is the most suitable graph for categorical data?

A

Bar chart.

Bar charts are used when data is divided into categories, known as discrete data.

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5
Q

What do bar charts display on the x-axis?

A

Categories of data.

In this context, the categories could be conditions like Speedupp and Water condition.

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6
Q

How does a histogram differ from a bar chart?

A

The bars touch each other, indicating continuous data on the x-axis.

Histograms represent equal-sized intervals of a single category.

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7
Q

What does the y-axis represent in a histogram?

A

The frequency within each interval.

If there is zero frequency for an interval, the interval remains but without a bar.

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8
Q

What is the purpose of a scattergram?

A

To depict associations between two co-variables.

Each point on the graph corresponds to the x and y position of the co-variables.

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9
Q

What type of data do line graphs represent?

A

Continuous data.

They use points connected by lines to show changes in value.

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10
Q

What is the shape of the curve in a normal distribution?

A

A bell-shaped curve.

Most people are located in the middle area of the curve with very few at the extremes.

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11
Q

What happens to the mean, median, and mode in a normal distribution?

A

They all occupy the same midpoint on the curve.

The ‘tails’ of the curve never touch the horizontal x-axis.

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12
Q

What is a positive skew?

A

When most of the distribution is concentrated towards the left of the graph, resulting in a long tail on the right.

The mode remains at the highest point, followed by the median, with the mean dragged towards the tail.

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13
Q

What is a negative skew?

A

When most of the distribution is concentrated towards the right of the graph, resulting in a long tail on the left.

The mode remains at the highest point, followed by the median, with the mean dragged towards the left tail.

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