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data analysis methods 1. decision tables
2. range chart
3. indexes
4. discriminant function analysis
5. regression
decision tables -helps researchers to judge the importance of conflicting information so
that they can arrive at a single conclusion. (i.e. female versus male).
range chart -making a visual representation of multiple ranges of estimates so that the
central tendency can be determined.
-illustrates areas of overlap between various ranges so most accurate estimate can be made. (age)
indexes -standardizing skeletal measurements for two dimensions; numerical expressions
of the shape of a structure can be compared between different groups.
-ex) nasal index= nasal width/ nasal height X 100
,-Are based on a percentage of likelihood
-Use two measurements that represent a single feature
-Values vary among groups
-Falling above or below an index is what determines what group an individual falls into
discriminant function analysis -method for calculating a numerical expression of shape,
however, can be used when more than two measurements are available.
-placing two groups on opposite ends of spectrum then placing characteristics in middle to
decide other groups
regression -the value of one characteristic can be determined from the values of other
characteristics
osteology the study of the bone of the skeleton, including their names, placement,
articulations, visual features, etc.
-Bone is the strongest biological material in existence, extremely light weight
-Composite material-protein and mineral
-A living tissue that can repair and reshape itself throughout life
, odontology the study of dentition
-recognition of deciduous, and permanent teeth, placement in mouth, major features, variations
seen in persons of different ancestry.
cranial skeleton -22 outwardly visible bones
-4 topics: bones, sutures, landmarks, sinuses
-age, sex, evolutionary relationships
cranial bones -frontal
-zygomatic
-maxilla
-nasal
-mandible
-parietal
-occipital
-temporal
musculoskeletal system -protect and support soft tissue