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6 Cards in this Set
- Front
- Back
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Squaring Decimals |
Square decimals just like whole numbers except knowing where to put the decimal point. The result should always be smaller than the original. When you square a decimal that is expressed in 10ths (.4 squared) the answer should be in hundredths (.16) Tricky ones: .1squared = .01 .2squared = .04 .3squared = .09 |
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Square-Rooting Decimals |
First express the decimal in hundredths rather than thousandths (.50 instead of .5 or .10 instead of .100). Then look for the number closest to the square root. The result should always be expressed in tenths. Square Root of .64 =.8 Square Root of .5 (change to hundredths) then .50 = .7 Square Root of .1 then = square root of .10 which equals .3 |
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Nominal Data |
Nominal data involve tallying people to see which non-ordered category each person falls into. Ex. Taking a group of 100 subjects and tallying based on sex (male female), voting party, or ethnicity. Nominal categories have no inherent order to them. Numbers or frequencies are obtained for each category. These frequencies can be converted to proportions or percentages. Group means cannot be calculated from nominal data |
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Ordinal Data |
Ordinal data also tallys people to see which category they fall into be the categories are ordered. Ex. Taking a group of 500 subjects and tallying then ordering them by SES or income (in percentile ranks) or after giving a likert scale measure, their attitude towards abortion. The categories are ordered and numbers or frequencies are obtained for each category. Group means cannot be calculated from ordinal data |
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Interval Data |
Interval data involve obtaining numberical scores for each person where the score values have equal intervals (value differences) Ex temperature, , IQ There is no zero score (like IQ scores, or t-scores). There is no absolute zero (temperature). Group means can be calculated |
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Ratio Data |
Ration data involved obtaining numerical scores for each person, where the score values have equal intervals and an absolute zero. Ex. Savings in the bank, score on EPPP, weight, number of children. Means can be calculated Comparisons can also be made across score values |
