Test your basic knowledge |

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






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






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






5. Mu; population mean






6. Always use a equal symbol






7. Standard scores and percentile






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






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






10. A numerical quantity measuring some aspect of the population






11. Sample proportion






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






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






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






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






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






17. 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






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






19. Test use normalcdf(ZTS -999)






20. 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






21. Type II error is measured






22. 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.






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






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

Warning: Invalid argument supplied for foreach() in /var/www/html/basicversity.com/show_quiz.php on line 183


25. Alternative hypothesis






26. Capital sigma; summation






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






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






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






30. Population proportion






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






32. 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






33. Complement of p






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






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






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






37. Probability of event A






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






39. 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






40. Population size






41. Collection of information from the whole population






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






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






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






45. Sample size or number of trials






46. Mean - mode - median and midrange.






47. Range - standard deviation and variance.






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






49. 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






50. 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).