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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. Sample mean






2. A numerical quantity measuring some aspect of the population






3. Capital sigma; summation






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






5. 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






6. The important aspects of the data are called?






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






8. 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






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






10. A survey that includes every item or individual of the population






11. Alternative hypothesis






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






13. Range - standard deviation and variance.






14. Collection of information from the whole population






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






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






17. 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






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






19. Mu; population mean






20. Sample size or number of trials






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






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






23. Type II error is measured






24. Probability of event A






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






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






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






28. 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






29. Lowercase sigma; population standard deviaition






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






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






32. Mean - mode - median and midrange.






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






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






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






36. Population size






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






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






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






40. Information about individuals in a population






41. 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






42. Is a sample containing similar characteristics of the population






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






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






46. One extreme value can affect it dramatically.






47. 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






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






49. Graph involving pictures of objects in which the size of the object in which the size of the object in the picture represents the relative size of the quantity being represented by the object.






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