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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. Before they are arranged or analyzed - information or observations are called________.






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






4. 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






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






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






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






8. 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






9. 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






10. A collection of individuals about which we want to draw conclusions






11. Represents categories - and is nonnumerical in nature






12. A method of data collection where the researcher selects a sample from the population and measures the variable of interest






13. 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






14. Collection of information from a sample






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






16. Is a collection of several data pertaining to one or more variables






17. Population variance






18. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable






19. Mean - mode - median and midrange.






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






21. Is a sample containing similar characteristics of the population






22. When the distribution of the data values greater than the center of the display - and the data values less than the center of the display are mirror images of each other






23. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample






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






25. Determine the location of the middle value of all the data values






26. Is a number that describes a characteristic of a sample

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






28. An individual data value which lies far (above or below) from most or all of the other data values within a distribution






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






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






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






32. Level of measurement- involves data that consist of names - labels and categories only. The data cannot be arranged in an ordering scheme (such as low to high). (Example) Nationalities of survey respondents






33. Lowercase sigma; population standard deviaition






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






35. Null hypothesis






36. To find the range subtract the lowest value by the highest value.






37. Standard scores and percentile






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






39. One extreme value can affect it dramatically.






40. 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






41. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter






42. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.






43. Sample proportion






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






45. Population size






46. _______________ 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






47. 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






48. _______________ are numerical measurements that can assume any value between two numbers






49. Level of measurement- Involves data that may be arranged in some order - but differences between data values either cannot be determined or are meaningless. (Example) Questions on a survey are scored with integers 1 thru 5 with 1 representing strong






50. Sum of the values