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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. Sample variance






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


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






4. Lowercase sigma; population standard deviaition






5. Sample proportion






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






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






8. 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






9. 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






10. Mean - mode - median and midrange.






11. 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






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






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






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






15. To find the range subtract the lowest value by the highest value.






16. 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






17. Standard scores and percentile






18. Represents categories - and is nonnumerical in nature






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






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






21. 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






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






23. 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






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






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






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






27. 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






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






29. Sum of the values






30. Test use normalcdf(ZTS -999)






31. Probability of event A






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






33. Mu; population mean






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






35. Population proportion






36. 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.






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






38. The important aspects of the data are called?






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






40. 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






41. Sample standard deviation






42. Sample mean






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






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






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






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






47. 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






48. The number of times each data value occurs






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






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