Stats 330 Exam 1 Feb 20 Flashcards

1
Q

Statistics

A

a collection of methods for planning experiments, obtaining data, and then organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusions based on the data.

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2
Q

Population

A

the complete collection of all elements to be measured

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3
Q

Sample

A

a sub collection of elements drawn from a population

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4
Q

Statistic

A

a numerical measurement describing some characteristic of a sample

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5
Q

Quantitative Data

A

consists of numbers representing counts or measurements

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6
Q

Qualitative Data

A

aka categorical. can be separated into diff categories that are distinguished by some nonnumeric characteristic

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7
Q

variable

A

a characteristic or attribute that can assume different values

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8
Q

random variables

A

variables whose values are determined by chance

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9
Q

discrete data

A

result from either a finite number of possible values or a countable number of possible values

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10
Q

continuous data

A

result from infinitely many possible values that can be associated w/points on a continuous scale in such a way that there are no gaps or interruptions

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11
Q

Sampling Error

A

the difference between a sample result and the true population result

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12
Q

Frequency Table

A

lists categories or classes of scores, along with counts (or frequencies) of the number of scores that fall into each category

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13
Q

Class Width

A

Range/ # of classes

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14
Q

Cumulative Frequency

A

the sum of the frequencies for that class and all previous classes

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15
Q

Relative Frequency

A

Class Frequency/ sum of all frequencies

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16
Q

Stem and Leaf Plot

A

Data is sorted according to a pattern that reveals the distribution (shape), also can see original data set.

17
Q

Mean

A

The sum of all the data values divided by the total number of data values

18
Q

Median

A

The middle value when data are arranged in numerical order.

19
Q

Mode

A

The value in a data set that occurs most frequently

20
Q

Skewed Data

A

Data that is not symmetric and extends more to one side than the other.

21
Q

Skewed Left

A

Mean to left of median (Mean < Median)

22
Q

Skewed Right

A

Mean to right of median (Mean > Median)

23
Q

Symmetrical Distribution

A

Mean and Median are equal

24
Q

Variation

A

the amount that scores vary among themselves

25
Q

Variance

A

average of squares of the distance each value is from the mean

26
Q

Standard Deviation

A

square root of the variance