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






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






3. 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






4. Null hypothesis






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






6. Population proportion






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






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






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






10. 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






11. Mean - mode - median and midrange.






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






13. Statistics






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






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






16. 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






17. Parameter






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






19. Range - standard deviation and variance.






20. Complement of p






21. Probability of event A






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






23. 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






24. 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






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






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






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






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






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






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






31. 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






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






33. Population variance






34. Information about individuals in a population






35. Population size






36. 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






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






38. 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).






39. Sum of the values






40. Represents categories - and is nonnumerical in nature






41. 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






42. Capital sigma; summation






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






44. 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






45. Standard scores and percentile






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






47. The number of times each data value occurs






48. Collection of information from a sample






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






50. Sample standard deviation






Can you answer 50 questions in 15 minutes?



Let me suggest you:

Browse all subjects

Browse all tests

Most popular tests



Major Subjects

Tests & Exams


AP
CLEP
DSST
GRE
SAT
GMAT

Browse all subjects

Browse all tests

Most popular tests