Ex 1 Flashcards

1
Q

Mutually Exclusive variable

A

A type of variable that permits each case to be counted in one and only one category

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2
Q

Exhaustive Variable

A

Meaning a category is provided for each possible category

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3
Q

Independent Variable

A

A variable that is identified as a casual variable. Thought to cause the dependent variable

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4
Q

Dependent Variable

A

The variable that is effected, resultant, or the outcoem. It is caused by the independent variable

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5
Q

Three Levels of Measurement

A

Represented by nominal, ordinal, and interval-ratio variables

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6
Q

Nominal Variable

A

Variables at this level have categoies that are not numerical. They incldue gender, zip code, race, religion. Lowest level of measurement. Only comparison permited is that of category size

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7
Q

Ordinal Variable

A
  • More sophisticated than nominal
  • Scores or categories that can be ranked from high to low
  • We can say cases are higher or lower
  • upper, middle, working, lower
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8
Q

Interval Ratio Variable

A

These variables provide distances between ranks, quantitative.

  • Measured in units that have equal intervals.
  • Have true zero point
  • Age, number of children, income
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9
Q

Descriptive Statistics

A

Statistic techniques to organize and describe data from sample/ population

  • Measure of central tendency
  • measure of tendency
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10
Q

Inferential Statistics

A

Make predictions based upon data from sample

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11
Q

Poppulation

A

The total colelction of all cases in which the researcher is interested and wishes to understand better
-All possible cases

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12
Q

Sample

A

A carefully chosen subset of a population. In inferential stats, information is gathered from a sample and then generalized to a population

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13
Q

Sample statistics

A

What we find in a sample

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14
Q

Cumulative frequency

A

In frequency distribution that displays the number of cases within an interval and all preceding intervals

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15
Q

Cumulative percentage

A

In frequency distribution displays percentage of cases within an interval and all preceding intervals

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16
Q

Frequnecy distribution

A

A table that displays the number of cases in each category of a variable

17
Q

Rate

A

The number of actual occurances of some phenomenon or trait divided by the number of possible occurrence per some unit of time

  • Cases / time
18
Q

Pie chart

A

Usually used to display percentage of cases in each category of a variable
- For nominal or ordinal variables

19
Q

Bar chart

A

A graphic display device for nominal or ordinal variables with few categories.

20
Q

Histogram

A

A graphic display device for interval ratio variables. Classes are represented by contiguous bars of equal width
-borders of bars touch

21
Q

mean

A

The arithmetic average of the scores

- bar over x

22
Q

Median

A

The point in a distribution of scores above and below which half of the cases fall
- Exact middle point

23
Q

Mode

A

The most common value in distribution or largest category

- Most common

24
Q

Standard Deviation

A
  • Average distance from the mean
  • interval ratio
  • it tries to estimate the amount of diversity in certain things that are interval ratio in nature such as income, age, education in years
25
Q

Variance

A

The amount of difference

- Average of squared deviation from mean

26
Q

Range

A

The highest score minus the lowest score

27
Q

interquartile range

A

The distance between the upper and lower quartiles

= Q3 - Q1

28
Q

IQV

A

Index of Qualitative Variation

  • its a measure of variation for categorical variables
  • A way to measure the variability of nominal variables
  • It is the total differenes divided by the total number of possible differences
  • It is always between zero and one
  • 0 == lack of variation
  • 1 == complete variation
  • We use single number to tell how much variation observed
  • Fails to take into consideration all points because it only looks at the squared percentages
29
Q

Z Scores

A

Number of standard deviation that a given raw score is above or below the mean
-Z == below mean
Z+ == above mean

30
Q

Standard Normal Distribution

A

A normal distribution represented in standard z scores

31
Q

Inferential Statistics - big picture

A

Prediction about population from observations from a sample

- Probablilty technique provides best opp for representable sample of pop