GoConqr has a new look! Let us know what you think.

Sign up free

Quiz

Lesson 10

Eva Bonning 9 questions

Take the quiz

This quiz has question types that open in the usual player.

Questions in this quiz (9)

  1. 1A chi-squared test is used when you want to see how the [blank_start]distribution[blank_end] of a [blank_start]response variable[blank_end] [blank_start]changes[blank_end] across [blank_start]groups[blank_end].
    1. Adistribution
    2. Bnumbers
    3. Cdirection
    4. Dchanges
    5. Eincreases
    6. Fdecreases
    7. Gresponse variable
    8. Hgroup
    9. Igroups
    10. Jresponse variables
  2. 2Which of the following is CORRECT regarding a Chi-squared test
    1. AExpected cell counts need to be at least 5
    2. BExpected cell counts need to be at least 3
    3. CA chi-squared test is a non-parametric test therefore can be done with any sample size
    4. DA chi-squared test is a parametric test and therefore can be done with any sample size
  3. 3The three key assumptions for a chi-squared test are:
    1. Data is [blank_start]randomly[blank_end] selected and each [blank_start]member[blank_end] of the population has an [blank_start]equal[blank_end] chance of being selected.
    2. Observations are [blank_start]independent[blank_end] of one another
    3. Sample size is [blank_start]large[blank_end] enough where [blank_start]expected[blank_end] cell counts are at least [blank_start]5[blank_end]
    1. Arandomly
    2. Bequal
    3. Cmember
    4. Dindependent
    5. Elarge
    6. Fexpected
    7. G5
  4. 4Which of the following is CORRECT regarding a chi-squared test
    1. AThe test statistic is always positive and if the null hypothesis is true, then the test statistic will be close in value to the degrees of freedom
    2. BThe test statistic can be positive or negative and if the null hypothesis is true, then the test statistic will be close in value to the degrees of freedom
    3. CThe test statistic is always positive and if the null hypothesis is true, then the test statistic will be different in value to the degrees of freedom
    4. DThe test statistic can be positive or negative and if the null hypothesis is true, then the test statistic will be different in value to the degrees of freedom
  5. 5Which of the following is CORRECT regarding a chi-squared test
    1. ADue to it being a positive distribution that goes on into infinity, significant values tend to be relatively large
    2. BDue to it being a negative distribution that goes on into infinity, significant values tend to be relatively small
    3. CDue to it being a positive distribution that goes on into infinity, significant values tend to be relatively small
    4. DDue to it being a symmetrical distribution that goes on into infinity, significant values can either be relatively large or relatively small
  6. 6The chi-squared test statistic is essentially the [blank_start]ratio[blank_end] between [blank_start]expected[blank_end] and [blank_start]observed[blank_end] values, and expected values are what we'd expect to see in the population if the [blank_start]null[blank_end] hypothesis were true.
    1. Aratio
    2. Bproportion
    3. Cdistribution
    4. Dexpected
    5. Etest
    6. Fsample
    7. Gobserved
    8. Hresponse
    9. Igroup
    10. Jnull
    11. Kalternative
  7. 7Which of the following shows the correct way to format hypotheses for a chi-squared test
    1. ANull: the distribution of the response variable is the same across groups
      Alternative: the distribution of the response variable is different across groups
    2. BNull: the distribution of the response variable is the same across groups
      Alternative: the distribution of the response variable is larger for some groups than for others
    3. CNull: the means are all equal across groups
      Alternative: the mean is different for at least one of the groups
    4. DNull: the distribution of the response variable is different across groups
      Alternative: the distribution of the response variable is the same across groups
  8. 8When can we use a Fisher's Exact test?
    1. ATo test whether variances are equal in two different populations
    2. BTo test whether a population is normally distributed
    3. CWhen there is a sample size that is too large to conduct a chi-squared test
    4. DWhen the expected cell counts are less than 5
    5. EWhen the observed cell counts are less than 5
  9. 9A Fisher's exact test is less powerful than a chi-squared test because it is less conservative in rejecting the null hypothesis
    1. ATrue
    2. BFalse

Information

Description
Learning Technology Specialist Honours Psychology (MATHS581) Quiz on Lesson 10 , created by Eva Bonning on 10/04/2021.
Language
English
Views
0
Rating
No ratings yet
Rate this quiz
Rate this quiz

Feedback

What is it about?

What do you think of the new look?

How do you like it?