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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. Range - standard deviation and variance.






2. Population variance






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






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






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






6. One extreme value can affect it dramatically.






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






8. Statistics






9. Test use normalcdf(ZTS -999)






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






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






12. Population proportion






13. Standard scores and percentile






14. Is a sample containing similar characteristics of the population






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






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






17. Complement of p






18. 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






19. 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






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






21. 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






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






23. Lowercase sigma; population standard deviaition






24. Collection of information from the whole population






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. 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).






27. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION






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






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






30. Parameter






31. A numerical quantity measuring some aspect of the population






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






33. Members of the population select themselves by volunteering






34. 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






35. Collection of information from a sample






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






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






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






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






40. Sum of the values






41. Capital sigma; summation






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






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






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






45. Represents categories - and is nonnumerical in nature






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






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






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






49. 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






50. Probability of event A






Can you answer 50 questions in 15 minutes?



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