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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. 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






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






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






4. Probability of event A






5. _______________ 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






6. 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






7. Members of the population select themselves by volunteering






8. Null hypothesis






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






10. Sample proportion






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






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






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






14. 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).






15. 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






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






17. Test use normalcdf(ZTS -999)






18. 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






19. Population proportion






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






21. Sample size or number of trials






22. Mean - mode - median and midrange.






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






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






25. 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






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






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






28. 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






29. Parameter






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






31. The number of times each data value occurs






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






33. Type of bar graph that shows frequency distributions






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






35. 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






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






37. 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






38. Range - standard deviation and variance.






39. The important aspects of the data are called?






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






41. Population size






42. Capital sigma; summation






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






44. Represents categories - and is nonnumerical in nature






45. Collection of information from a sample






46. 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






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






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






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






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