Test your basic knowledge |

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. Mu; population mean






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






3. Alternative hypothesis






4. Probability of event A






5. Can be used to get an initial graphical view of data






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






7. Null hypothesis






8. Population size






9. Is a sample of data values selected from a population in such a way that every sample of size 'n' has an equal probability of being selected and every data value of the population has the same chance of being selected for the sample






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






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






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






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






14. Capital sigma; summation






15. 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






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






17. Test use normalcdf(ZTS -999)






18. Statistics






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






20. 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






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






22. 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






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






24. Sum of the values






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






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






27. 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.






28. 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






29. Type of bar graph that shows frequency distributions






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






31. 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






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






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






34. 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






35. Sample variance






36. Always use a equal symbol






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






38. Parameter






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






40. Sample mean






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






42. Population variance






43. Is denoted by 'N' - is the number of data values in the population






44. Represents categories - and is nonnumerical in nature






45. Lowercase sigma; population standard deviaition






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






47. Population proportion






48. Mean - mode - median and midrange.






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






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