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






2. Range - standard deviation and variance.






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






4. 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






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






6. 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






7. Always use a equal symbol






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






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






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






11. Type of bar graph that shows frequency distributions






12. Sample mean






13. Standard scores and percentile






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






15. Represents categories - and is nonnumerical in nature






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






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






18. Sum of the values






19. Null hypothesis






20. 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






21. 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






22. Population size






23. Sample proportion






24. Type II error is measured






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






26. Information about individuals in a population






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






28. 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






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






30. 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






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






32. Sample standard deviation






33. Mean - mode - median and midrange.






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






35. A numerical quantity measuring some aspect of the population






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






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






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






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






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






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






42. 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






43. Members of the population select themselves by volunteering






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






45. Statistics






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






47. Alternative hypothesis






48. 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






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






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