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






2. 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






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






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






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






6. Lowercase sigma; population standard deviaition






7. Complement of p






8. 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






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






10. Parameter






11. Type of bar graph that shows frequency distributions






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






13. Alternative hypothesis






14. Sample proportion






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






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






17. A numerical quantity measuring some aspect of the population






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






19. One extreme value can affect it dramatically.






20. Sample variance






21. Collection of information from a sample






22. Type II error is measured






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






24. Null hypothesis






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






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

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






28. Probability of event A






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






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






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






32. Represents categories - and is nonnumerical in nature






33. 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






34. The number of times each data value occurs






35. Population size






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






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






38. Is a sample containing similar characteristics of the population






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






40. Level of measurement- Is the interval level modified to include the inherent zero starting point (where zero indicates that none of the quantity is present). For values at this level - differences and ratios are both meaningful. (Example) Ages of sur






41. _______________ 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






42. 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






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






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






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






46. Range - standard deviation and variance.






47. 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






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






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






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).







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