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






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






3. 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






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






5. Population proportion






6. Parameter






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






8. Represents categories - and is nonnumerical in nature






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






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






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






12. Alternative hypothesis






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






14. _______________ of a numerical variable represents the data values of the variable from the lowest to the highest value along with the number of times each data value occurs






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






16. Lowercase sigma; population standard deviaition






17. The number of times each data value occurs






18. 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






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






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






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






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






23. Type of bar graph that shows frequency distributions






24. 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






25. Is a sample containing similar characteristics of the population






26. Always use a equal symbol






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

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






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






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






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






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






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






34. Mean - mode - median and midrange.






35. 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






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






37. One extreme value can affect it dramatically.






38. Complement of p






39. Information about individuals in a population






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






41. 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).






42. Population size






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






44. 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






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






46. 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






47. 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






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






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






50. 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







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