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Topic 7: Summarising and Interpreting Data

Eleanor Madden 12 questions

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Questions in this quiz (12)

  1. 1Match the definitions to these words:
    1) Descriptive statistics
    2) Distribution
    3) Central Tendency
    4) Variability
    1. A1) Measures that help us summarise data sets
    2. B1) A set of statistical procedures used by researchers to test hypotheses about population
    3. C2) A set of scores
    4. D2) The varying amounts of statistical procedures
    5. E3) Representation of a typical score in a distribution
    6. F3) The spread of scores in a distribution
    7. G4) The spread of scores in a distribution
    8. H4) The degree to which a study provides causal information about behaviour
  2. 2Match the words to the definitions of the subsets of Central Tendency
    1) The calculated average of the scores in a distribution
    2) The middle score in a distribution, such that half of the scores are above and half are below that value
    3) The most common score in a distribution
    1. A1) Mean
    2. B1) Median
    3. C2) Median
    4. D2) Mean
    5. E3) Mode
    6. F3) Median
  3. 3Outliers are extreme high or low scores in a distribution
    1. ATrue
    2. BFalse
  4. 4Match the definition to the words associated with Variability
    1) Range
    2) Standard Deviation
    3) Variance
    4) Degrees of Freedom
    1. A1) The difference between the highest and lowest scores in a distribution
    2. B1) The shop Charley used to work at
    3. C2) A measure representing the average difference between the scores and the mean of a distribution
    4. D2) Numbers of scores that can vary in the calculation of a statistic
    5. E3) The standard deviation of a distribution squared
    6. F3) The dependent variable in a correlational study that is used to predict the score on another variable
    7. G4) Number of scores that can vary in the calculation of a statistic
    8. H4) A measure representing the average difference between the scores and the mean of a distribution
  5. 5Different types of graphs.
    A [blank_start]frequency distribution[blank_end] is a graph of a distribution showing the frequency of each response in the distribution.
    A [blank_start]bar graph[blank_end] is a graph of the means for different conditions in a study where the bar height represents the size of the mean.
    A [blank_start]line graph[blank_end] is a graph of the means for different conditions in a study where each mean is graphed as a point and the points are connected in a line to show differences between mean scores.
    A [blank_start]scatterplot[blank_end] is a graph showing the relationship between two dependent variables for a group of individuals.
    The [blank_start]predictor variable[blank_end] is the DV in a correlational study that is used to predict the score on another variable.
    The [blank_start]outcome variable[blank_end] is the DV in a correlational study that is being predicted by the predictor variable.
    1. Afrequency distribution
    2. Bbar graph
    3. Cline graph
    4. Dscatterplot
    5. Epredictor variable
    6. Foutcome variable
  6. 6Match the words to these definitions
    1) A set of statistical procedures used by researchers to test hypotheses about populations
    2) The hypothesis that an effect/relationship exists (or specific direction) in the population
    3) The hypothesis that an effect or relationship doesn't exist (or opposite direction of other hypothesis) in the population
    4) Both directions of an effect/relationship are considered in the alternative hypothesis of the test
    5) Only one direction of an effect/relationship is predicted in the alternative hypothesis of the test
    1. A1) Inferential statistics
    2. B1) Descriptive statistics
    3. C2) Null hypothesis
    4. D2) Scientific/alternative hypothesis
    5. E3) Null hypothesis
    6. F3) Scientific/alternative hypothesis
    7. G4) Two-Tailed hypothesis
    8. H4) One-Tailed hypothesis
    9. I5) One-Tailed hypothesis
    10. J5) Two-Tailed hypothesis
  7. 7The distribution of sample means is a range of values that the population mean likely falls into with a specific level of certainty and confidence interval is the distribution of all possible sample means for all possible samples from a population
    1. ATrue
    2. BFalse
  8. 8Significance Testing:
    The [blank_start]Alpha level[blank_end] is the probability level used by researchers to indicate the cutoff probability level (highest value) that allows them to reject the null hypothesis.
    The [blank_start]p value[blank_end] is the probability value associated with an inferential test that indicates the likelihood of obtaining the data in the study when the null hypothesis is true.
    The [blank_start]significant test[blank_end] is when the p value is less then/equal to alpha in an inferential test, and the null hypothesis can be rejected.
    The [blank_start]critical region[blank_end] is the most extreme portion of a distribution of statistical values for the null hypothesis determined by the alpha level (typically 5%).
    1. AAlpha level
    2. Bp value
    3. Csignificant test
    4. Dcritical region
  9. 9Rejecting the null hypothesis when it is actually true is a [blank_start]Type 1[blank_end] error.
    Failing to reject the null hypothesis when it is actually false is a [blank_start]Type 2[blank_end] error.
    1. AType 1
    2. BType 2
    3. CType 2
    4. DType 1
  10. 10Power, in regards to inferential statistics, is the ability of a significance test to detect an effect/relationship when one exists (equal to 11-probability of a Type 2 error)
    1. ATrue
    2. BFalse

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Quiz on Topic 7: Summarising and Interpreting Data , created by Eleanor Madden on 30/04/2016.
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