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DSST Intro To Statistics

Subjects : dsst, statistics
Instructions:
  • Answer 50 questions in 15 minutes.
  • If you are not ready to take this test, you can study here.
  • Match each statement with the correct term.
  • Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.

This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. Involves the procedures associated with the data collection process - the summarizing and interpretation of data - and the drawing of inferences or conclusions based on the analysis of the data






2. Middle value of a set of data values after they've been arranged in numerical order - 1. First arrange data values in numerical order 2. For odd # of data values - the median is the middle data value 3. For even # of data values - the median is the m






3. Range - standard deviation and variance.






4. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed






5. Collection of information from the whole population






6. A method in which each combination of people has an equal chance of being selected- the sample is representative of the population and is independent






7. When the distribution of the data values tend to be concentrated toward one end of the display or tail of the distribution - while the data values in the other tail are spread out through extreme values resulting in a longer tail






8. Sum of the values






9. Parameter






10. The level of significance and the probability of a type I error (rejecting a true null hypothesis). The area in the tail or tails of a distribution (z - t - or ?2); in hypothesis testing you don't always have a two tailed distribution as in confidenc






11. (largest data value) - (smallest data value)






12. Level of measurement- Is like the ordinal level - with the additional property that we can determine meaningful amounts of differences between data. However - there is no inherent (natural) zero starting point (where none of the quantity is present).






13. Level of measurement- Is the interval level modified to include the inherent zero starting point (where zero indicates that none of the quantity is present). For values at this level - differences and ratios are both meaningful. (Example) Ages of sur






14. Is the portion of the population that is selected for study






15. Variable where the value is a number that results from a measurement process - also called numerical data






16. Population proportion






17. _______________ of a numerical variable represents the data values of the variable from the lowest to the highest value along with the number of times each data value occurs






18. Data values that are either much larger or much smaller than the general body of data- they should be included in an analysis unless they are the result of human or other error






19. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies






20. Type II error is measured






21. The variable value can be represented as isolated points on a number line






22. One extreme value can affect it dramatically.






23. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded






24. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population






25. Mu; population mean






26. The number of times each data value occurs






27. Create a sample by using data from population members that are readily available






28. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively






29. Is denoted by 'n' - is the number of data values in the sample






30. Complement of p






31. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.






32. Is the entire collection of all individuals or objects of interest






33. Using graphs and numerical summaries to describe variables in a data set and their relationship






34. Collection of information from a sample






35. Information about individuals in a population






36. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population






37. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).






38. Lowercase sigma; population standard deviaition






39. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element






40. A sample which is selected in such a manner - that each data value of the population has a non-zero probability of being selected for the sample






41. To divide the population into 2 or more non-overlapping subsets called strata






42. Always use a equal symbol






43. Sample standard deviation






44. _______________ are numerical values that can assume only a limited number of values






45. A subset of the population- it's important to choose a sample at random to avoid bias in the results






46. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION






47. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.






48. Population size






49. A visual exploratory data analysis technique that shows the shape of a distribution - this kind of display uses the actual values of the variable to present the shape of the distribution of data values






50. Sample size or number of trials