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Lesson 7-9

Eva Bonning 23 questions

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Questions in this quiz (23)

  1. 1Which of the following is true for a one sample t-test
    1. AIt is used to test whether a sample mean takes a certain value in a single population
    2. BIt is used to test whether a sample mean takes a certain value in multiple populations
    3. CIt is only used to see if a sample mean is greater than a certain value in a single population
    4. DIt is used to compare sample means across two populations
  2. 2A one-sample t-test only has one assumption
    1. ATrue
    2. BFalse
  3. 3A one sample t-test assumes that n>30, and if not, then the population must be normally distributed, or at least symmetrical.
    1. ATrue
    2. BFalse
  4. 4Which of the following are correct assumptions for a one-sample t-test
    1. AData is randomly selected and n>30
    2. BData is randomly selected and comes from two independent populations
    3. CData is randomly selected and comes from two dependent populations
    4. DData is randomly selected and populations have equal variance
  5. 5What do you do if n<30 for a one sample t-test
    1. AYou check that data is normally distributed via histograms, Q-Q plots and a Shapiro Wilk's test, if not then the population needs to be approximately symmetrical
    2. BYou check that data is normally distributed via a Levene's Test for Equal Variances
    3. CYou check that the data has equal variance around the mean via histograms, Q-Q plots and a Shapiro-Wilk's test
    4. DYou don't need to do anything because the central limit theorem will apply and the data will be normally distributed
  6. 6A one sided alternative hypothesis in a one-sample t-test is more conservative than a two sided hypothesis
    1. ATrue
    2. BFalse
  7. 7If the alternative hypothesis for a one sample t-test is one sided, then we only have a one sided confidence interval
    1. ATrue
    2. BFalse
  8. 8How does a p-value relate to the test statistics?
    The p-value is the [blank_start]probability[blank_end] of finding this value for the [blank_start]test[blank_end] [blank_start]statistic[blank_end] (or one more [blank_start]extreme[blank_end]), if the [blank_start]null[blank_end] hypothesis were [blank_start]true[blank_end]. So if the t statistic is quite [blank_start]large[blank_end], then the p-value will be [blank_start]small[blank_end], and the chances of a false [blank_start]positive[blank_end] are less.
    1. Aprobability
    2. Btest
    3. Cstatistic
    4. Dextreme
    5. Enull
    6. Ftrue
    7. Glarge
    8. Hsmall
    9. Ipositive
  9. 9Which of the following correctly defines the use of a two-samples t-test
    1. AIt is used to compare means of two independent populations
    2. BIt is used to compare means of two dependent populations
    3. CIt is used to compare means across more than two dependent populations
    4. DIt is used to compare means across more than two independent populations
  10. 10Which of the following are the correct assumptions for a two-samples t-test
    1. AData comes from two independent populations
    2. BData comes from two dependent populations
    3. Cn>30 and if not then the population is normally distributed or at least symmetrical
    4. Dn<30 and if not then the population is normally distributed or at least symmetrical
    5. EYou can do a two-samples t-test on any kind of population even if it is not normally distributed
    6. FPopulation variances and whether they are equal or unequal has been taken into account
    7. GPopulation variance doesn't matter

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Description
Learning Technology Specialist Honours Psychology (MATHS581) Quiz on Lesson 7-9, created by Eva Bonning on 08/04/2021.
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