Chapter 10 Flashcards

(38 cards)

0
Q

Statistics

A

When indices are calculated for a sample drawn from the population

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1
Q

Descriptive statistics

A

Permit researchers to describe the information contained in many, many scores with just a few indices such as the mean and median.

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2
Q

Parameters

A

When indices are calculated from the entire population

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3
Q

Quantitative data

A

A team when the variable being studied is measured along a scale that indicates how much of the variable present. Quantitative data are reported in terms of scores

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4
Q

Categorical data

A

Indicate the total number of objects, individuals, or events the researcher finds in a particular category

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5
Q

Raw score

A

The initial score obtained

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6
Q

Derived scores

A

When raw scores are taken and converted into more useful scores on some type of standardized basis

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7
Q

Age equivalent scores and grade equivalent scores

A

Tell what age or grade and individual score is typical

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8
Q

Percentile rank

A

Refers to the percentage of individuals going at or below given raw score. Percentile ranks are sometimes referred to as percentiles, although this term is not quite correct as a synonym.

PR = [(Number of students below score + All students all score) / Total number in group] x 100

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9
Q

Standardized scores

A

Indicate how far a given raw score is from a reference point

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10
Q

Frequency distribution

A

Done by listing the scores in re order from high to low, with tallies to indicate the number of subjects receiving a score

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11
Q

Grouped frequency distribution

A

Scores in the distribution are grouped intervals

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12
Q

Steps involved in constructing a frequency polygon

A

Numbered from 1 to 5 on page 191

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13
Q

Positively Skewed polygons

A

The tale of the distribution trails off to the right direction of the higher more positive score values

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14
Q

Negatively skewed polygons

A

The longer tail of the distribution goes off to the left

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15
Q

Histogram

A

A bar graph used to display quantitative data at the interval or ratio level of measurement

16
Q

Stem leaf plot

A

A display that organizes a set of data to show both its shape and its distribution

17
Q

Normal distribution

A

When a distribution curve is normal, the large majority of the scores of concentrated in the middle of the distribution, and the scores decreasing frequency the farther away from the middle they are

18
Q

Three most common used averages

A

Mode
Median
Mean

19
Q

Mode

A

The most frequent score in a distribution. The score obtained by more students than any other score

20
Q

Median

A

The point below and above which 50% the scores in a distribution fall. In short the midpoint

21
Q

Mean

A

Another average of all the scores in the distribution. Determined by adding up all the scores and then dividing this by the total number of scores

22
Q

Quartiles

23
Q

Five number summary

A

Consists of the lowest score, the median, and the highest score.

24
Boxplot
A graphical display of the five-member summary of distribution
25
Range
The distance between the highest and lowest scores and distribution
26
Standard deviation
Is the most useful index of variability. Is a single number that represents the spread the distribution.
27
Steps in calculating the standard deviation
Page 199
28
The standard deviation of a normal distribution
Page 200 and 201
29
Z score
Expresses how far a raw score is from the mean in standard deviation units
30
Probability
A percentage stated in decimal form and refers to the likelihood of event occurring
31
T score
Z scores expressed in a different form. Page 203
32
Scatterplot
A pictorial representation of the relationship between two quantitative variables
33
Steps to create a scatter plot
Pages 205-207
34
Outliers
Scores or measurements that differ by such large amounts from those of other individuals in the group that they must be given careful consideration as special cases
35
Correlation coefficient
Designated by the symbol r. Expresses the degree of relationship between two sets of scores
36
Pearson product moment coefficient also known as the Pearson r
When the data for both variables are expressed in terms of quantitative scores, the Pearson r is the appropriate correlation coefficient to use. It assumes that the relationship is best described by a straight line
37
Eta
Symbolized by the symbol n Page 208