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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 important aspects of the data are called?






2. Test use normalcdf(ZTS -999)






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






4. 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






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






6. Probability of event A






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






8. Sample standard deviation






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






10. Standard scores and percentile






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






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






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






14. The number of times each data value occurs






15. Sample variance






16. 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






17. Information about individuals in a population






18. Type II error is measured






19. Type of bar graph that shows frequency distributions






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






21. Complement of p






22. Statistics






23. 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






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






25. Mean - mode - median and midrange.






26. 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






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






28. Alternative hypothesis






29. 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






30. 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






31. 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






32. Population variance






33. 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






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






35. Capital sigma; summation






36. Mu; population mean






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






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






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






40. Type of information - usually a property of characteristic of a person or thing that is measured or observed






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

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






43. Members of the population select themselves by volunteering






44. Range - standard deviation and variance.






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






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






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






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






49. Sample proportion






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