Statistics Hardest Practice Quiz! Trivia Test

44 Questions | Total Attempts: 265

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Statistics Hardest Practice Quiz! Trivia Test

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Questions and Answers
  • 1. 
    Statistics is the study of _____________.
    • A. 

      Testing and interpreting statistical hypotheses about a relationship

    • B. 

      Mathematical analysis using samples instead of populations

    • C. 

      Summarizing, analyzing, or drawing inferences about a relationship

    • D. 

      Inferring something about a population from a sample

  • 2. 
    Which of the following is not a variable?
    • A. 

      Personal fantasies

    • B. 

      The final score of the Yankees game on 10/17/09

    • C. 

      Body temperatures of people who are NOT sick

    • D. 

      Age

  • 3. 
    Why is it important to record demographics?
    • A. 

      Different populations act differently

    • B. 

      The IRB mandates it for studies conducted

    • C. 

      There's no way to tell if you're measuring a consistent estimator

    • D. 

      There's no way to tell if you're measuring a sufficient estimator

  • 4. 
    How is an ordinal variable more detailed than a nominal variable?
    • A. 

      0 means the total absence of the variable

    • B. 

      The categories are qualitative groupings

    • C. 

      The categories possess value

    • D. 

      The distance between the categories is equal

  • 5. 
    How is a ratio variable more detailed than an interval variable?
    • A. 

      0 means the total absence of the variable

    • B. 

      The categories are qualitative groupings

    • C. 

      The categories possess value

    • D. 

      The distance between the categories is equal

  • 6. 
    What kind of variable is a person's height?
    • A. 

      Discrete

    • B. 

      Continuous

    • C. 

      Ungrouped

    • D. 

      Grouped

  • 7. 
    What kind of frequency distribution is the above?
    • A. 

      Ungrouped frequency distribution

    • B. 

      Grouped frequency distribution

    • C. 

      Relative frequency distribution

    • D. 

      Cumulative frequency distribution

  • 8. 
    What kind of frequency distribution is the above?
    • A. 

      Ungrouped frequency distribution

    • B. 

      Grouped frequency distribution

    • C. 

      Relative frequency distribution

    • D. 

      Cumulative frequency distribution

  • 9. 
    What would a stem and leaf plot look like for:10, 11, 13, 13, 21, 31, 36
    • A. 

      10, 11, 13, 13 21 31, 36

    • B. 

      1 | 0, 1, 3, 3 2 | 1 3 | 1, 6

    • C. 

      10s X X X X 20s X 30s XX

    • D. 

      10s+ XXXX 20s+ XXXXX 30s+ XXXXXXX

  • 10. 
    In a positively skewed distribution, ____________.
    • A. 

      The bulk of the scores are on the left side

    • B. 

      The bulk of the scores are on the right side

  • 11. 
    Kurtosis is the measure of ______________.
    • A. 

      The amount that the peak is shifted positively or negatively

    • B. 

      The shape of the distribution's peak

    • C. 

      Whether the distribution has enough scores (N)

    • D. 

      The cumulative relative frequency

  • 12. 
    B would be described as being ___________.
    • A. 

      Mezokurtic

    • B. 

      Hypokurtic

    • C. 

      Platykurtic

    • D. 

      Leptokurtic

  • 13. 
    A would be described as _______________.
    • A. 

      Mezokurtic

    • B. 

      Hypokurtic

    • C. 

      Platykurtic

    • D. 

      Leptokurtic

  • 14. 
    The mode is an especially poor choice of measuring central tendency when ___________.
    • A. 

      The distribution is bimodal

    • B. 

      The distribution is heavily positively skewed

    • C. 

      The distribution is leptokurtic

    • D. 

      The distribution is a normal curve

  • 15. 
    The median is a better choice of measuring central tendency than the mean when _____________.
    • A. 

      The distribution is bimodal

    • B. 

      The distribution is heavily positively skewed

    • C. 

      The distribution is leptokurtic

    • D. 

      The distribution is a normal curve

  • 16. 
    The sum of deviations [ Summation (X-Xbar)] is always equal to ____________.
    • A. 

      The mean

    • B. 

      The median

    • C. 

      0

    • D. 

      It's possible for it to be different every time

  • 17. 
    In which of the following situations would just providing the mean without also providing variability be bad?
    • A. 

      Giving the mean number of meters a guided missile lands from the target but not the variability

    • B. 

      Giving the mean amount of IQ increase seen in children in a single year but not the variability

    • C. 

      Giving the mean number of crimes committed by a demographic but not the variability

    • D. 

      All of the above

  • 18. 
    ___________ is the measure of variability most affected by outlier scores.
    • A. 

      Range

    • B. 

      Interquartile range

    • C. 

      Variance

    • D. 

      Standard deviation

  • 19. 
    When calculating variance for a sample, we use the following formula:Sum of Squares / (N-1)What benefit is there to subtracting 1?
    • A. 

      Makes sure studies cannot be done with case studies (N=1)

    • B. 

      The lower the number of participants, the more the -1 increases sample variability

    • C. 

      If we don't subtract 1, the sum of deviations won't equal 0

    • D. 

      Subtracting 1 makes the distribution appear more normal like

  • 20. 
    Why do we use standard deviation instead of variance?
    • A. 

      Standard deviation takes into account the N of the sample

    • B. 

      Standard deviation is less susceptible to outlier scores than the variance.

    • C. 

      Standard deviation has the same scale of measurement as the mean

    • D. 

      Standard deviation takes into account degrees of freedom of the sample

  • 21. 
    Which of the following is not a requirement of a perfect normal distribution?
    • A. 

      Identical mean, median, and mode

    • B. 

      Asymptotic distribution

    • C. 

      Has a standard deviation of 1.

    • D. 

      Has range of negative infinity to positive infinity

  • 22. 
    • A. 

      Standard deviation = 1

    • B. 

      Mean = 0

    • C. 

      Easier to compare values across variables

    • D. 

      Converting scores to a standard normal distribution turns the distribution into a perfect normal distribution

  • 23. 
    If I were to look at the scores on a test from a single classroom and assume the findings apply to the whole school, I would be using ___________.
    • A. 

      Descriptive statistics

    • B. 

      Inferential statistics

    • C. 

      Sample statistics

    • D. 

      Population statistics

  • 24. 
    Which of the following is true?
    • A. 

      All consistent estimators are unbiased estimators

    • B. 

      All unbiased estimators are consistent estimators

    • C. 

      Not all biased estimators are consistent estimators

    • D. 

      Consistent estimators are never biased estimators

  • 25. 
    Which of these is the crappiest type of sampling?
    • A. 

      Snowball sampling

    • B. 

      Convenience sampling

    • C. 

      Random sampling

    • D. 

      Stratified random sampling

  • 26. 
    Why isn't random sampling as good as stratified random sampling?
    • A. 

      Random sampling does not give everyone an equal chance of participation

    • B. 

      Random sampling is not independent

    • C. 

      In random sampling you run the risk of asking both the old grandma at the grocery store as well as the grandpa she's with

    • D. 

      Random sampling doesn't guarantee representativeness

  • 27. 
    The sampling distribution of a normally distributed variable with N = infinity would be...
    • A. 

      Mezokurtic

    • B. 

      Platykurtic

    • C. 

      Leptokurtic

    • D. 

      Random

  • 28. 
    The Law of Large Numbers states ___________.
    • A. 

      Point estimators become increasingly less stable at large numbers

    • B. 

      The larger the sample you take, the more likely you are to come close to the population mean

    • C. 

      A sample is normally distributed when adding more people won't bring you any closer to the mean

    • D. 

      Central limit theorom does not apply to significantly high values of Z

  • 29. 
    What is the estimated standard error of the mean?
    • A. 

      The average distance away a score is from the mean

    • B. 

      The average distance away a sample mean is from the population mean

    • C. 

      The square root of the population variance

    • D. 

      The likelihood that the sample mean is within 1 standard deviation of the population mean

  • 30. 
    Why might a WISC administrator not refer to an IQ of 89 as below average?
    • A. 

      Because the FSIQ is an imperfect point estimator and therefore we really have no idea what the real score is

    • B. 

      Because the FSIQ has not been found to be statistically valid or reliable

    • C. 

      Because 42% of children score below 89 so it's really not that far below average

    • D. 

      Because the 95% confidence interval falls between 88-96 so we're not all that certain the score is really below average

  • 31. 
    If I tell you that you got a Z score of -2 on the WAIS, you should feel:
    • A. 

      Alarmed

    • B. 

      Average

    • C. 

      Appropriately proud

    • D. 

      Incredibly proud

  • 32. 
    Which of the following is false about H0 and H1:
    • A. 

      They must be mutually exclusive

    • B. 

      They must be appropriate for the rejection criteria

    • C. 

      There can be no overlap or exceptions

    • D. 

      They must be all encompassing

  • 33. 
    I'm running some screening tests to see which kids should be monitored more closely next year because the screening test indicates they're at risk for learning disorders. What might I set my alpha to?
    • A. 

      .005

    • B. 

      .10

    • C. 

      .95

    • D. 

      .995

  • 34. 
    I'm writing software for missile-detection radar, to alert the Pentagon in case the Commies try to nuke us. What should I set my alpha to?
    • A. 

      .005

    • B. 

      .10

    • C. 

      .95

    • D. 

      .995

  • 35. 
    __________ is when you accept the null hypothesis when it's false.
    • A. 

      Type 1 Error

    • B. 

      Type 2 Error

    • C. 

      H0 Error

    • D. 

      H1 Error

  • 36. 
    __________ is used when you have a sample mean, estimated standard error, population mean, and N.
    • A. 

      Independent samples t-test

    • B. 

      Repeated measures t-test

    • C. 

      One sample t-test

    • D. 

      Bivariate t-test

  • 37. 
    __________ is used when you have two sample means, two estimated standard errors, and two Ns.
    • A. 

      Independent samples t-test

    • B. 

      Repeated measures t-test

    • C. 

      One sample t-test

    • D. 

      Bivariate t-test

  • 38. 
    _________ is used when you compare two sample means from one population.
    • A. 

      Independent samples t-test

    • B. 

      Repeated measures t-test

    • C. 

      One sample t-test

    • D. 

      Bivariate t-test

  • 39. 
    If I'm doing a t-test and my N = 30 and I want to use 95% confidence, I should look up the t-table value at:
    • A. 

      29 and .05

    • B. 

      29 and .95

    • C. 

      30 and .05

    • D. 

      30 and .95

  • 40. 
    If I'm doing a t-test and my N = 32, I should look up the t-table value at: 
    • A. 

      30

    • B. 

      40

    • C. 

      Average 30 and 40

    • D. 

      Average 30 and 40 with 80% weight on the 30

  • 41. 
    Independent samples t-test requires assuming all of the following except:
    • A. 

      Each subject is randomly and independently selected from the population

    • B. 

      Measurement is done on ratio variables

    • C. 

      Assumption of homogeneity of variance

    • D. 

      Scores in population form normal curve

  • 42. 
    Repeated measures t-test eliminates one of the assumptions from independent samples t-test, which?
    • A. 

      Each subject is randomly and independently selected from the population

    • B. 

      Measurement is done on ratio variables

    • C. 

      Assumption of homogeneity of variance

    • D. 

      Scores in population form normal curve

  • 43. 
    Say I test the effect of milk consumption on height by monitoring the height of students in a classroom where milk is supplied daily and the height of students in a classroom where milk is not supplied daily. I'm going through the steps to make a study and set my rejection parameters to t=2.045 with an alpha of .05. After I run my analysis, I discover that my independent samples t-test has returned me t=1.940.  What conclusion should I reach, and what error am I at risk of committing?
    • A. 

      Accept null hypothesis; Type 1 Error

    • B. 

      Accept null hypothesis; Type 2 Error

    • C. 

      Reject null hypothesis; Type 1 Error

    • D. 

      Reject null hypothesis; Type 2 Error

  • 44. 
    Say I test the effect of milk consumption on height by monitoring the height of students in a classroom where milk is supplied daily and the height of students in a classroom where milk is not supplied daily. I'm going through the steps to make a study and set my rejection parameters to t=2.045 with an alpha of .05. After I run my analysis, I discover that my independent samples t-test has returned me t=1.940.  I accept the null hypothesis, therefore, what is my conclusion?
    • A. 

      With an alpha of .05, milk consumption over the course of a year does not alter students' heights

    • B. 

      With an alpha of .05, milk consumption over the course of a year does alter students' heights

    • C. 

      With an alpha of .05, this study was inconclusive and it is unclear what effect milk consumption over the course of a year has on students' heights

    • D. 

      If the t-test returned 1.940, it is an indication that the N was too low and the study should be redone