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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. 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






2. 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






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






4. Sample mean






5. The important aspects of the data are called?






6. Statistics






7. Sum of the values






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






9. Type of bar graph that shows frequency distributions






10. Type II error is measured






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






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






13. 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






14. Sample standard deviation






15. Is the process of selecting a portion - or sample - of the entire population






16. Graph involving pictures of objects in which the size of the object in which the size of the object in the picture represents the relative size of the quantity being represented by the object.






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






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






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






20. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner






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






22. Complement of p






23. Information about individuals in a population






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






25. Capital sigma; summation






26. For a left tailed test use normalcdf(-999 - ZTS)






27. 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






28. Mu; population mean






29. 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






30. 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






31. 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






32. 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






33. Sample proportion






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






35. One extreme value can affect it dramatically.






36. Sample variance






37. Is a number that describes a characteristic of a population






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






39. Null hypothesis






40. Standard scores and percentile






41. Range - standard deviation and variance.






42. Occur when one does not affect the probability of the occurrence of the other.






43. Represents categories - and is nonnumerical in nature






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






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






46. A survey that includes every item or individual of the population






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






48. Collection of information from the whole population






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






50. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.