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






2. Alternative hypothesis






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






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






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






6. Complement of p






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






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






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






10. Parameter






11. 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






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






13. 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






14. Population variance






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






16. Type II error is measured






17. 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






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






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






20. Mean - mode - median and midrange.






21. Type of bar graph that shows frequency distributions






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






23. 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






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






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






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






27. Is a sample containing similar characteristics of the population






28. 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.






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






30. 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






31. Collection of information from the whole population






32. Mu; population mean






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






34. Sample proportion






35. 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






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






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






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






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






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






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






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






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






44. Population proportion






45. Population size






46. Lowercase sigma; population standard deviaition






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






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






49. Standard scores and percentile






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







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