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






2. Sample standard deviation






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






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. Always use a equal symbol






6. 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






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






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






9. Type II error is measured






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






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






12. 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






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






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






15. 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






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






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






18. 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.






19. Null hypothesis






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






21. Represents categories - and is nonnumerical in nature






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






23. Sample size or number of trials






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






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






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






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






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. Sample variance






30. _______________ 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






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






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






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






34. Collection of information from a sample






35. The number of times each data value occurs






36. 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






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






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






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






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






41. Information about individuals in a population






42. Parameter






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






44. Complement of p






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






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






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






48. Sum of the values






49. Lowercase sigma; population standard deviaition






50. Alternative hypothesis