Exam 5: Exploring Data With Graphs
Exam 1: Why Is My Evil Lecturer Forcing Me to Learn Statistic15 Questions
Exam 2: The Spine of Statistics16 Questions
Exam 3: The Phoenix of Statistics16 Questions
Exam 4: The Ibm Spss Statistics Environment16 Questions
Exam 5: Exploring Data With Graphs16 Questions
Exam 7: Non-Parametric Models11 Questions
Exam 8: Correlation16 Questions
Exam 9: Regression15 Questions
Exam 10: Comparing15 Questions
Exam 11: Moderation,mediation and Multicategory Predictors16 Questions
Exam 12: Comparing Several Means16 Questions
Exam 13: Analysis of Covariance16 Questions
Exam 14: Factorial Anova15 Questions
Exam 15: Repeated-Measures Designs15 Questions
Exam 16: Mixed Design Anova16 Questions
Exam 17: Multiple Analysis of Variance Manova16 Questions
Exam 18: Exploratory Factor Analysis16 Questions
Exam 19: Categorical Data16 Questions
Exam 20: Logistic Regression17 Questions
Exam 21: Multilevel Linear Models16 Questions
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Which of the following is not defined as a property for a variance ratio?
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(Multiple Choice)
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Correct Answer:
C
You need to plot values of one continuous variable against two others,whilst also differentiating groups of cases with different-coloured dots.What type of scatterplot should you use?
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(Multiple Choice)
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Correct Answer:
B
Which of the following would be the best way to decide whether the skew in the example above is problematic for analysts at 'Wipe-It'?
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(Multiple Choice)
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Correct Answer:
D
Some data were collected about consumer loyalty towards a (relatively)new brand of toilet roll - 'Wipe-It' (using a scale from 1 = I'd never go back to 10 = I will always purchase this brand).The sample was 15,467 people.When looking at the distribution,a skew of 1.23 (SE = 0.65)was identified.The mean rating was 4.78.What is the z-score for the skew in this data?
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Which of the following tests whether variances are homogenous?
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You are comparing customer lifetime value (CLV)in £s for two of your firm's products - Mug-R and Jug-S.What does acceptance of the assumption of homogeneity mean for the two groups in this context?
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You have income data for your entire customer database.Some of your clients are far wealthier than others.Which of the following do outliers least affect?
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Which of the following are assumptions underlying the use of most parametric tests (based on the normal distribution)?
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Which of the following is not a transformation that can be used to correct skewed data?
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If a Kolmogorov-Smirnov test is conducted and the result is significant,what does this mean for the data sample?
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If the distribution of CLV for your two products (Q8)is multimodal,what does this mean?
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