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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. Capital sigma; summation






2. 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






3. 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






4. 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






5. Members of the population select themselves by volunteering






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






7. Null hypothesis






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






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






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






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






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






13. Type II error is measured






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






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






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






17. A number that is used to describe a characteristic of a sample - such as a sample average - is called 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. Probability of event A






20. 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).






21. Statistics






22. 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






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






24. Parameter






25. Standard scores and percentile






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






27. 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






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






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






30. Sample proportion






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






32. 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






33. Is a sample containing similar characteristics of the population






34. Collection of information from a sample






35. Range - standard deviation and variance.






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






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






38. The number of times each data value occurs






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






40. 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






41. Always use a equal symbol






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






43. Lowercase sigma; population standard deviaition






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






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






46. 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






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






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






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






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