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






2. Sample size or number of trials






3. Test use normalcdf(ZTS -999)






4. The number of times each data value occurs






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






6. 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






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






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






9. Alternative hypothesis






10. Is the portion of the population that is selected for study






11. Population variance






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






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






14. 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






15. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.






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






17. Probability of event A






18. _______________ 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






19. 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






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






21. Is a sample containing similar characteristics of the population






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






23. Sample standard deviation






24. Sum of the values






25. Is a number that describes a characteristic of a sample


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






27. Null hypothesis






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






29. Lowercase sigma; population standard deviaition






30. Parameter






31. Statistics






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






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






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






35. Collection of information from a sample






36. Population size






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






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






39. Complement of p






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






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






42. 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






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






44. 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).






45. Sample proportion






46. Mean - mode - median and midrange.






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






48. 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






49. 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






50. 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