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






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






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






4. Lowercase sigma; population standard deviaition






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






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






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






8. Parameter






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






10. Mean - mode - median and midrange.






11. Sum of the values






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






13. Is a sample containing similar characteristics of the population






14. Population size






15. Complement of p






16. 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






17. Sample standard deviation






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






19. Collection of information from a sample






20. Null hypothesis






21. A numerical quantity measuring some aspect of the population






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






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

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






25. Type of bar graph that shows frequency distributions






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






27. 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






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






29. The number of times each data value occurs






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






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






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






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






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. Population variance






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






37. One extreme value can affect it dramatically.






38. Information about individuals in a population






39. 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






40. 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






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






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






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






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






45. Statistics






46. Always use a equal symbol






47. Members of the population select themselves by volunteering






48. Type II error is measured






49. 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






50. Standard scores and percentile