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HISTOGRAM a graph that shows the distribution of a variable used to “summarize” data visually on a graph

A graph that shows the distribution of a variable used to “summarize” data visually on a graph

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Page 1: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

HISTOGRAM• a graph that shows

the distribution of a variable

• used to “summarize” data visually on a graph

Page 2: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

X-AXIS

• a single continuous variable broken into different intervals

• ~8-20 intervals

Page 3: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

Y-AXIS

• the number of individuals in that interval

• “amount”, “frequency” or “percentage”

Page 4: A graph that shows the distribution of a variable used to “summarize” data visually on a graph
Page 5: A graph that shows the distribution of a variable used to “summarize” data visually on a graph
Page 6: A graph that shows the distribution of a variable used to “summarize” data visually on a graph
Page 7: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

Die Roll

1 2 3 4 5 6

Page 8: A graph that shows the distribution of a variable used to “summarize” data visually on a graph
Page 9: A graph that shows the distribution of a variable used to “summarize” data visually on a graph
Page 10: A graph that shows the distribution of a variable used to “summarize” data visually on a graph
Page 11: A graph that shows the distribution of a variable used to “summarize” data visually on a graph
Page 12: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

Height (cm)

130 140 150 160 170 180 190 200

Page 13: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

Height (cm)

130 140 150 160 170 180 190 200

Page 14: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

Height (cm)

130 140 150 160 170 180 190 200

Distribution Curve: a line drawn over the bars of a histogram to summarize patterns

Page 15: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

Height (cm)

130 140 150 160 170 180 190 200

Normal Distribution: a distribution that is symmetrical around the mean

Page 16: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

Height (cm)

130 140 150 160 170 180 190 200

Standard Deviation = 5 inchesStandard Deviation = 2 inches

Page 17: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

Height (inches)

130 140 150 160 170 180 190 200

Standard Deviation: a measure of variance High Standard Deviation = High Variation

Low Standard Deviation = Low Variation

Page 18: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

RIGHT SKEWED LEFT SKEWED

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MEANMEDIAN

MODE

Page 22: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

In a normal distribution,MEAN, MEDIAN, and MODE are centered in the middle

Page 23: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

MEDIANMODE

Page 24: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

MEANMEDIANMODE

Page 25: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

MEAN MEDIAN MODE

Page 26: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

In a skewed distribution,• the MODE is at the peak• the MEDIAN splits the area under the curve

in half• Area left of the median = Area right of the

median• the MEAN is in the direction of the skew

The MEAN is most influenced by the skew.

Page 27: A graph that shows the distribution of a variable used to “summarize” data visually on a graph
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Page 30: A graph that shows the distribution of a variable used to “summarize” data visually on a graph
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Within a species, there is usually a great deal of variation among

individuals.

Page 33: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

Variation: is a measure of differences

Page 34: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

INHERITED VARIATION

• results from the differences in DNA

• also known as “genetic variation”

• most inherited variation cannot be changed

• Examples: blood type, hair color, eye color, mid-digit hair, etc.

Page 35: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

SOURCES OF GENETIC VARIATION

• Sexual Reproduction:genes mix when two parents create offspring

• Mutations:individual genes randomly mutate within an individual

Page 36: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

ACQUIRED VARIATION

• results from differences in individual lifestyles

• does NOT affect your DNA

• does NOT get passed on to offspring

• Examples: muscle mass, obesity, hair dye, many skills

Page 37: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

SOURCES OF ACQUIRED VARIATION

•the environment

Page 38: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

North side, upper branches

South side, upper branches

North side, lower branches

South side, lower branches

The differences between apples are acquired during the growing season.

Difference will not be inherited.

Apples collected from different positions on the same tree.

Page 39: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

• Most differences in an individual are the result of inherited and

acquired variations.

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low variance high variance

Cheetahs , Manatees Leopards, Cuttlefish

• Populations prefer to have high variation to increase their chance of survival

• Having high levels of variationallow more potential for evolution

Page 41: A graph that shows the distribution of a variable used to “summarize” data visually on a graph

Clause Wedekind

1998 Bern

University in Switzerland

SWEATY SHIRT EXPERIMENT

49 men wore the same shirt for 2 days 44 women were asked to rank the shirts in order of smell

preference the scientists measured the MHC genes (genes related to

smell) of each male and each female the results found that women preferred shirt smells from

males who had the most different MHC genes from their own Women preferred males whose paired offspring would have

the greatest genetic variation