Quiz Math Flashcards

1
Q

is a way to organize and display data in order to show how often each value or range of values occurs.

A

Frequency distribution

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2
Q

It helps in summarizing the data and identifying patterns. There are different types of data, and the way you create a frequency distribution depends on the nature of the data.

A

Frequency distribution

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3
Q

is a table that shows classes or intervals of data with a count of the number in each class. The frequency f of a class is the number of data points in the class.

A

Frequency distribution

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4
Q

distribution is used when dealing with categorical data (non-numeric data with categories).

A

Categorical frequency distribution

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5
Q

is used when the data set is relatively small, and the individual values are distinct

A

Ungrouped frequency distribution

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6
Q

is used when the data set is large and the values can be grouped into intervals or classes.

A

Grouped frequency distribution

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7
Q

The smallest data value can be included in the class

A

Lower class limit

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8
Q

The Largest data value that can be included in the class.

A

Upper class limit

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9
Q

are used to separate the classes so that there are no gaps in the frequency distribution

A

Class boundaries

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10
Q

The difference between the consecutive lower-class limits

A

Class width

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11
Q

class are increasing order, is the sum of the frequencies for that class and all previous classes.

A

Cumulative frequency

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12
Q

is a formula used to determine the number of bins or classes for a histogram in statistical data analysis. It provides an estimate of the optimal number of bins based on the number of observations in a dataset. The formula is named after the statistician Herbert Sturges who proposed it in 1926.

A

Sturge’s rule

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13
Q

class is the portion or percentage of the data that falls in that class.

A

Relative frequency

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14
Q

is the sum of the frequency for that class and all the previous classes.

A

Cumulative frequency

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15
Q

is the running total of the frequencies in a frequency distribution. It shows the total number of observations that are less than or equal to a particular class or interval. To determine, you start with the frequency of the first class and add the frequencies as you move through the classes.

A

Cumulative frequency

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16
Q

is a graphical representation of a frequency distribution. It displays the frequencies of different classes or intervals by using bars. Each bar’s height corresponds to the frequency of the class it represents.

A

Frequency Histogram

17
Q

is a graphical representation of a frequency distribution. It is similar to a frequency histogram but uses line segments to connect the midpoints of each class interval, forming a polygon. This method helps emphasize the distribution of values over the entire range.

A

Frequency polygon

18
Q

is a line graph that emphasizes the continuous change in frequencies.

A

Frequency polygon

19
Q

is a graphical representation of data that displays the proportion or percentage of observations within each class or interval. Unlike a regular frequency histogram, where the vertical axis represents the absolute frequencies the vertical axis represents the relative frequencies. is similar to that of a regular histogram, but the frequencies are expressed as proportions or percentages.

A

Relative frequency histogram

20
Q

has the same shape and the same horizontal scale as the corresponding frequency histogram.

A

Relative frequency histogram

21
Q

is the difference between the maximum and minimum values in the dataset and gives an indication of how spread out the values are

A

Range

22
Q

define the range of values included in each class interval.

A

Class limit

23
Q

are points that separate one class interval from the next in a grouped frequency distribution. They are located midway between the upper limit of one class and the lower limit of the next class.

A

Class boundaries

24
Q

help avoid confusion about which values belong to which class.

A

Class boundaries

25
Q

also known as the class mid value or class middle, involves finding the middle point within each class interval.

A

Class midpoint