Statistics Flashcards

1
Q

Ordered Array

A

Data table organized in a way to serve a specific purpose. e.g. ordering test grades from highest to lowest

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2
Q

Percentile

A

The value or score on an ordered array of data that indicates the percentage of the scores that fall at or below that value

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3
Q

Quartile

A

Three specific percentiles: Q1 - 25%, Q2 - 50%, and Q3 - 75%

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4
Q

Interquartile Range (IQR)

A

Difference between Q3 and Q1. Used to characterize the bulk of the population

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5
Q

Frequency Distribution

A

Shows the repetition of the same result in a data set. A frequency distribution indicates how many students scored at the same level.

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6
Q

Histogram

A

a graphic representation of related data. In simplest terms, a histogram is a connected bar graph of the data.

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7
Q

Normal Curve

A

Standard distribution curve
mode = mean = median

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8
Q

Negative Skew

A

Data that causes a longer tail on the left side. The mean is to the left of the peak.
Mean < Median < Mode

Data that favors the right side of a normal curve. The right side of the normal curve is increased.

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9
Q

Positive Skew

A

Data that causes a longer tail on the right side. The mean is to the right of the peak.
Mean > Median > Mode

Data that favors the left side of the normal curve. Data that causes the left side of the normal curve to increase.

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10
Q

Central Tendency

A

A single data value used to describe an entire data set. This answers the question, “How did the class do as a whole?”

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11
Q

How is central tendency measured?

A

By the mean, median, or mode.

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12
Q

Mode

A

The data value that occurs most often

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13
Q

Which do the highest and lowest points in a data set affect more, Mean or Median

A

The value of highest and lowest scores affects the mean value but not the median value

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14
Q

What is the formula for calculating the boundaries of a data set?

A

Lower boundary: Q1 - IQR
Upper boundary: Q3 + IQR

Used to determine outlier scores

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15
Q

Box and Whisker Plot

A

A graphical way to determine how spread out the quartiles are

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16
Q

Stem and Leaf Plot

A

Simple way to create a bar graph (histogram) using the first common number of a set of test scores (the stem) and ordering all the scores with that first common number behind it (the leaves)

e.g.
9|0,2,4 from 90, 92, 94
8|1,6,8 from 81,86,88
7|2,4,5,7,9 from 72,74,75,77,79
etc.

The longer the stem that holds the leaves, the more people who earned that grade.

17
Q

Variance or Variability

A

Describes how spread out the data is

18
Q

Value Added Assessment

A

A method of determining what you personally have added to the education of the students compared to other teachers of the same course

19
Q

Steps to calculating one standard deviation

A

Step 1: determine the mean

Step 2: Subtract the mean from each score

Step 3: Square the result of each answer from step 2

Step 4: Add the numbers from step 3 together

Step 5: divide the total from step 4 by the number of scores minus 1

Step 6: take the square root of step 5

20
Q

Percentages that correlate to results falling within one, two, and three standard deviations.

A

68% = 1 Standard deviation
95% = 2 Standard deviations
99.7% = 3 Standard deviations

21
Q

Pearson correlation coefficient scores of -1, 0, and 1

A

-1 = inversely related
1 = directly related
0 = unrelated

22
Q

Bimodal distribution

A

Two modes or peaks within the same distribution of data

23
Q

What is the best method for calculating central tendency when the variance is small

A

mean

24
Q

Relationship between Scale Score, the Standard Error of Measurement (SEM), +1 SEM, and -1 SEM

A

+1SEM = Scale score + SEM
-1SEM = Scale score - SEM
SEM = half the range between -1SEM and +1SEM

25
Q

A standard score is calculated by . . .

A

using the
1) raw score, (x)
2) the distance from the mean, (m)
3) the standard deviation of the distribution. (s)

standard score = (x - m)/s

26
Q

Disaggregated

A

separated into parts.

e.g. breaking data down by socioeconomic status

27
Q

Reliable test

A

Yields consistent results

28
Q

Valid test

A

Yields accurate results

29
Q

What is a Standard Error of Measurement (SEM)?

A

The difference between the actual score that a student achieves on an exam and her hypothetical score.

a measure of how much measured test scores are spread around a “true” score.

30
Q

What is a Standard Error of Measurement (SEM) useful for?

A

This measurement is used to determine the accuracy of a test in gauging student knowledge.