unit 2 Flashcards

1
Q

What is univariate descriptive statistics focused on?

A

Univariate descriptive statistics focuses on the summarized description and analysis of a single variable.

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2
Q

What is the first step in data analysis, according to the slides?

A

The first step is to build the dataset.

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3
Q

What does each row and column represent in a dataset, according to the slides?

A

Each row represents a subject/participant, and each column represents a variable.

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4
Q

What is absolute frequency (fi)?

A

Absolute frequency (fi) is the number of times a value of a variable is repeated in the dataset.

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5
Q

What is relative frequency (f’i)?

A

Relative frequency (f’i) is the proportion (over total amount) of the frequency of a certain value with respect to the total sample.

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6
Q

How is percentage (pi) calculated?

A

Percentage (pi) is calculated by multiplying the relative frequency (f’i) by 100.

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7
Q

What is cumulative absolute frequency (Fi)?

A

Cumulative absolute frequency (Fi) running total of absolute frequencies for all data up to a certain point in a dataset.

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8
Q

What is cumulative relative frequency (F’i)?

A

Cumulative relative frequency (F’i) (the running total of relative frequencies (percentages or proportions) for all data up to a certain point in a dataset.) is the cumulative proportion (a fraction or percentage of the total)

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9
Q

How is cumulative percentage (Pi) calculated?

A

Cumulative percentage (Pi) is calculated by multiplying the cumulative relative frequency (F’i) by 100.

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10
Q

What are the typical components of a frequency distribution table?

A

Typical components include absolute frequency (fi), relative frequency (f’i), percentage (pi), cumulative absolute frequency (Fi), cumulative relative frequency (F’i), and cumulative percentage (Pi).

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11
Q

What is the purpose of graphical representations in frequency distributions?

A

Graphical representations facilitate the understanding of the data and their characteristics.

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12
Q

When are cyclograms or pie charts useful?

A

Cyclograms or pie charts are useful for nominal, ordinal, and discrete quantitative variables with few values.

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13
Q

What do bar charts represent?

A

Bar charts represent the frequency of each value, with bars along the Y-axis and values along the X-axis.

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14
Q

What is a polygon of frequencies?

A

A polygon of frequencies uses points representing the absolute frequency of each value, connected by lines, and is useful for comparing groups or describing profiles.

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15
Q

How do histograms differ from bar charts?

A

Histograms use unseparated bars to represent the continuity of a variable, and are typically used for continuous quantitative variables, sometimes grouped into class intervals.

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16
Q

What is a stem and leaf diagram used for?

A

A stem and leaf diagram shows the order and shape of the data and is useful for evaluating possible anomalies in the distribution of a variable.

17
Q

What does a box plot show?

A

A box plot shows the position indexes, with a central line at the median, and indicates the form of the variable including symmetry and outliers.

18
Q

What are the four properties that characterize the shape of a frequency distribution?

A

The four properties are central tendency, variability, skewness, and kurtosis.

19
Q

What does central tendency indicate?

A

Central tendency indicates where the distribution is centered and where the data are grouped.

20
Q

What does variability indicate?

A

Variability indicates the degree of dispersion or concentration of observations with respect to the mean or other values.

21
Q

What does skewness measure?

A

Skewness measures the degree to which the values are evenly distributed above and below the central tendency.

22
Q

What is a symmetrical distribution?

A

A symmetrical distribution is one where the mean divides the distribution into two identical halves.

23
Q

What does kurtosis measure?

A

Kurtosis measures the degree of concentration of the data with respect to the central values, indicating how flat or peaked the distribution is.

24
Q

What are measures of position used for?

A

Measures of position indicate where a score or value is located within the distribution compared to the other observed values.

25
Q

What are the most common quantiles used?

A

The most common quantiles are quartiles (4), deciles (10), and percentiles (100).

26
Q

What is a percentile?

A

A percentile is a value that leaves below itself a certain percentage ‘K%’ of the sample.

27
Q

What are measures of central tendency?

A

Measures of central tendency represent the average magnitude of all observed values of a variable and establish a middle point or point of balance.

28
Q

What is the mode?

A

The mode is the value with the greatest frequency in the distribution.

29
Q

What is the median?

A

The median is the middle score when all scores are arranged from the lowest to the highest.

30
Q

What is the mean?

A

The mean is the average value of the distribution and is calculated by summing all the scores and dividing by the number of scores.