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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. Population variance






2. 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






3. Capital sigma; summation






4. The number of times each data value occurs






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






6. Square the standard deviation and to find the population variance square of the population standard deviation






7. 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).






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






9. 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






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






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






12. _______________ 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






13. Members of the population select themselves by volunteering






14. Alternative hypothesis






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






16. Is a sample containing similar characteristics of the population






17. Type II error is measured






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






19. Population proportion






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






21. Null hypothesis






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






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






24. 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






25. Is the entire collection of all individuals or objects of interest






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






27. A numerical quantity measuring some aspect of the population






28. Sample proportion






29. 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






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






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






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






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






34. 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






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






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






37. Probability of event A






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






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






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






41. 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






42. Always use a equal symbol






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






44. Sample variance






45. Represents categories - and is nonnumerical in nature






46. 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






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






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






49. Range - standard deviation and variance.






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