Data management Flashcards

1
Q

Types of Quantitative data

A

Nominal data
It cannot be ordered and measured.
Examples:
Eye color, housing style, gender, hair color, religion, marital status, ethnicity, etc

Ordinal data
Predetermined or natural order.
Examples:
Economic status, customer satisfaction, education level, letter grades, etc

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2
Q

Types of Qualitative

A

Continuous data
>Data that can have decimals
>countless(infinite)
Examples:
-Height of person,
-Temperature

Discrete data
>Data that involves integers
>Countable
Examples
-balsfdjsl

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3
Q

diff between bar and pie chart

A

Bar graphs: To make comparison of data

Pie chart : “Part of the whole”

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4
Q

displaying the data of categorical variables.

(A categorical variable (also called qualitative variable) refers to a characteristic that can’t be quantifiable. Categorical variables can be either nominal or ordinal.)

A

Bar graphs, segmented bar graphs, pie charts, and pictographs are appropriate types of graphs

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5
Q

what is a pictograph

A

A pictograph is a symbolic representation of data. The following pictograph displays the number of apples consumed by Jon during the first four months.

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6
Q

what is the goal of a contingency table (box table)

A

When analyzing a contingency table, the goal is to see if the variables depend on each other. This can be done by looking at the two possible conditional distributions (row versus column) using percentage.

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7
Q

A broken-line graph is best used to describe

A

trends of the data over time

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8
Q

A causal relationship means that

A

one variable directly affects another

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9
Q

The owner of a video store has tracked the average number of weekly VHS and DVD rentals. The results are shown in the following graph.

A

look at L3

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10
Q

The following graph summaries scoring by different position on a hockey team

A

Look at L4

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11
Q

frequency distribution.

A

Frequency table made into a graph

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12
Q

A survey was conducted to determine how people like their coffee. The results are shown in the following graph.

A

L3

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13
Q

similarities and differences between broken line graphs and scatter plots

A

Similarities
Both have an upward trend,

Both use dots to record singular data points, both include a line to help with understanding

Both compare the relationship between two variables

How are they different?
Scatterplot has a line of best fit to determine averages between data points, broken line graphs use a single line to connect the dots to show the data change over a period of time
Scatter plots can have multiple different y values for one x where broken line graph can’t

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14
Q

You collect data on # of siblings for all of the students in your class. Should you use a scatter plot or a bar graph to display the data graphically? Explain your choice and describe the variable.

A

The variable is the number of siblings each student has, and the best way to compare the different number of siblings would be a bar graph, simply because the majority of people do not have a large enough range of different sibling numbers to justify the use of a scatter plot. One would almost certainly have multiple students with the same amount of siblings, so a bar graph would be the optimal choice

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15
Q

Need to look over all multiple choiuce in L3 that is not covered here

A

ok

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16
Q

what is a histogram

A

A histogram is a frequency distribution where the horizontal axis is divided into equal class intervals into which data have been divided. The heights of the rectangles (or bars have no spaces between them) represent the frequencies associated with the corresponding intervals.

17
Q

Do L5 multiple choice

A

ok

18
Q

bivariate data

A

Bivariate Data is simply data that has two variables,