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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. Sample variance






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






3. Represents categories - and is nonnumerical in nature






4. Parameter






5. Sample mean






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






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






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

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9. Sample standard deviation






10. 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






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






12. 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






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






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






15. The number of times each data value occurs






16. Level of measurement- Is like the ordinal level - with the additional property that we can determine meaningful amounts of differences between data. However - there is no inherent (natural) zero starting point (where none of the quantity is present).






17. 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






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






19. 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






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






21. Always use a equal symbol






22. Is a sample containing similar characteristics of the population






23. 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






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






25. One extreme value can affect it dramatically.






26. Sample proportion






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






28. Occur when one of them affects the probability of the other.






29. Mean - mode - median and midrange.






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






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






32. Sample size or number of trials






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






35. 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






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






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






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






39. 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






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






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






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






43. Type of bar graph that shows frequency distributions






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






45. Statistics






46. Complement of p






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






48. Members of the population select themselves by volunteering






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






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