Stats/Psych Research Chapter 3

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bell-shaped curve

Also referred to as a normal distribution or normal curve, a bell-shaped curve is a perfect mesokurtic curve where the mean, median, and mode are equal.

cumulative percentage curve

a graph that consists of a series of connected dots above the upper real limits of each possible class interval (height of the dots corresponds to cumulative percentage)

bar graph

a bar is drawn for each category, where the height of the bar represents the frequency or number of members of that category

U-shaped curve

a curve that results when the frequencies of the values at the extremes of the scale are higher than the frequency of the values in the middle

exploratory data analysis

employs easy-to-construct diagrams that are quite useful in summarizing and describing sample data

A bell shaped curve is an example of a skewed distribution.

false

A histogram is like a bar graph except with a histogram the bars don't touch each other.

false

All frequency distributions should be of grouped scores.

false

The vertical axis, i.e., the Y axis of a graph, is called the abscissa.

false

When constructing frequency distributions there must be 12 class intervals

false

skewed curve

if a curve is not symmetrical

symmetrical curve

if when folded in half the two sides coincide

cumulative frequency distribution

indicates the number of scores that fall below the upper real limit of each interval

cumulative percentage distribution

indicates the percentage of scores that fall below the upper real limit of each interval

relative frequency distribution

indicates the proportion of the total number of scores that occurs in each interval

frequency distribution of grouped scores

individual scores are grouped into class intervals

negatively skewed curve

most of the scores occur at the higher values of the horizontal axis and the curve tails off toward the lower end

positively skewed curve

most of the scores occur at the lower values of the horizontal axis and the curve tails off toward the higher end

frequency distribution

presents the score values and their frequency of occurrence

J-shaped curve

the curve of the exponential growth model when graphed

X axis (abscissa)

the horizontal axis of a graph

percentile rank

the percentage of scores with values lower that the score in question

percentile point

the value on the measurement scale below which a specified percentage of the scores in the distribution fall

Y axis (ordinate)

the vertical axis on a graph

stem and leaf diagrams

they are a simple alternative to the histogram and are most useful for summarizing and describing data when the data set includes less than 100 scores

A "U" shaped distribution would be an example of a symmetrical distribution.

true

A frequency distribution presents the score values and their frequency of occurrence.

true

A stem and leaf diagram contains more information than a histogram

true

If a curve is negatively skewed, most of the scores occur at the higher values and the curve tails off toward the lower end of the horizontal axis.

true

In grouping scores, the wider the intervals, the more information that is lost.

true

One reason for constructing frequency distributions is to be able to visualize the shape of the distribution

true

The percentile rank of a score is equal to the percentage of scores in the distribution that fall below the score in question

true

histogram

used to represent frequency distributions composed of interval or ratio data

frequency polygon

used to represent interval or ratio data


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