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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. Always use a equal symbol






2. Sample variance






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






4. 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






5. Sample standard deviation






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






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






8. Alternative hypothesis






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






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






11. 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






12. 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






13. Represents categories - and is nonnumerical in nature






14. Members of the population select themselves by volunteering






15. The important aspects of the data are called?






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






17. 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






18. 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.






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






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






21. Sample proportion






22. Population proportion






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






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






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






26. 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






27. Mu; population mean






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






29. 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).






30. 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






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






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






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






34. A numerical quantity measuring some aspect of the population






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






36. Sum of the values






37. Test use normalcdf(ZTS -999)






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






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






40. Lowercase sigma; population standard deviaition






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






42. Type of bar graph that shows frequency distributions






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






44. Type II error is measured






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






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






47. Range - standard deviation and variance.






48. Population size






49. 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






50. Is a sample containing similar characteristics of the population