# Math 231

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1. the science of collecting, describing, and interpreting data
statistics
2. a collection, or set, of individuals, objects, or events whose properties are to be anazlyzed
population
3. a subset of a population
sample
4. a characteristic of interest about each individual element of a population or sample
variable
5. the value of the variable associated with one element of a population or sample.
• Data value
• (may be a number, a word, or a symbol)
6. the set of values collected from the variable from eachof the elements that belong to the sample
data
7. a planned activity whoe results yield a set of data
experiment
8. a numerical value summarizing all the data of an entire population
parameter
9. a numerical value summarizing the sample data
statistic
10. a variable that describes or categorizes an element of a population
qualitative variable
11. a variable that quantifies an element of a population
quantitavive variable
12. a qualitative variable that characterizes an element of a population.
nominal variable
13. arithmetic operations are not meaningful for data, and an order cannot be assigned to categories
nominal variable
14. a qualtiative variable that incorporates an ordered position, or ranking
ordinal variable
15. a quantitative variable that can assume a countable number of values
discrete variable
16. can assume any values corresponding to isolated points along a line interval...there is a gop between any two values
discrete variable
17. a quantitative variable that can assume an uncountable number of values.
continuous variable
18. can assume any value along a line interval, including every possible value between any two values
continuous variable
19. a sampling method that produces data that systematically differ from the sampled population
biased sampling method
20. a list, or set, of the elements belonging to the population from which the sample will be drawn
sampling frame
21. samples that are selected on the basis of being judged "typical."
judgment samples
22. samples in which the elements to be selected are drawn on the basis of probablility
probability samples
23. a sample design in which the elements of the sampling frame are treated equally and there is no subdividing or partitioning of the frame.
single-stage sampling
24. a sample selected in such a way that evvery element in the population or sampling frame has an equal probability of being chosen
simple random sample
25. a sample in which every kth item of the sampling frame is selected, starting from a first element, which is randomly selected from the first k elements
systematic sample
26. a sample design in which the elements of the sampling frame are subdivided and the sample is chosen in more than one stage
multistage random sampling
27. a sample obtained by stratifying the population, or sampling grame, and then selecting a number of items from each of the strata by means of a simple random sampling technique
stratified random sample
28. a sample obtained by stratifying the population, or sampling frame, and then selecting a number of items in proportion to the size of the strata from each strata by means of a simle random sampling technique
proportional stratified sample
29. a sample obtained by stratifying the population, or sampling frame, and then selecting some or all of the items from some, but not all, of the strata
cluster sample
30. graphs that are used to summarize qualitative data.
circle graphs or bar graphs
31. show the amount of data that belong to each category as a proportional part of a circle
circle graph
32. show the amount of data that belong to each category as a proportionally sized rectangular area
bar graph
33. a bar graph with the bars arranged from the most numerous category to the least numerous category. It includes a line graph displaying the cumulative percentages and counts for the bars
pareto diagram
34. the pattern of variability displayed by the data of a variable
distribution
35. displays the frequency of each value of the variable
distribution
36. displays the data of a sample by representing each data value with a dot positioned along a scale
dotplot display
37. displays the data of a sample using the actual digits that make up the data values
stem and leaf display
38. a listing, often expressed in chart form, that pairs values of a variable with their frequency
frequency distribution
39. a bar graph that represents a frequency distribution of a quantitative variable
histogram
40. 1. a title, which identifies the population or sample of concern
2. a vertical scale, which identifies the frequencies in the various classes
3. a horizontal scale, which identifies the variable x
histogram
41. a frequency distribution that pairs cumulative frequencies with values of the variable
cumulative frequency distribution
42. a line graph of a cumulative frequency or cumulative relative frequency distribution
ogive
43. 1. a title, wich identifies the population or sample
2. a vertical scal, which identifies either the cumulative frequencies or the cumulative relative frequencies
3. a horizontal scale, which identifies the upper class boundaries
agive
44. the average with which you are probably most familiar.
mean
45. the value of the data that occupies the middle position when the data are ranked in order according to size
median
46. the number exactly midway between a lowest valued data, L, and a highest valued data, H.
midrange
47. the difference in value between the highest valued data, H, and the lowest valued data, L
range
48. a deviation from the mean is the difference between the value of x and th mean x bar.
deviation from the mean
49. the mean of the absolute values of the deviations from the mean
mean absolute deviation
50. the mean of the squared deviations
sample variance
51. is the positive square root of the variance
sample standard deviation
 Author: skyesr2005 ID: 68411 Card Set: Math 231 Updated: 2011-02-23T17:10:25Z Folders: Description: test 1 Show Answers: