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






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






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






4. Probability of event A






5. 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






6. 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






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

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






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






10. Mu; population mean






11. _______________ 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






12. 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).






13. 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






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






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






16. Standard scores and percentile






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






18. Mean - mode - median and midrange.






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






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






21. Type II error is measured






22. Sum of the values






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






24. Is a sample containing similar characteristics of the population






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






26. 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






27. Sample proportion






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






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






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






31. The important aspects of the data are called?






32. Type of bar graph that shows frequency distributions






33. The number of times each data value occurs






34. Complement of p






35. 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






36. A numerical quantity measuring some aspect of the population






37. One extreme value can affect it dramatically.






38. Members of the population select themselves by volunteering






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






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






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






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






43. Population proportion






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






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






46. 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.






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






48. Collection of information from a sample






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






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