.5.8 Data presentation and interpretation Flashcards","topicId":"f7e799f6-a883-4b67-a6ee-f2786bf6ed4c","topicSlug":"data-presentation-and-interpretation-9","cards":[{"id":"f5a5374b-ac15-47e7-9a29-9ea3303f356b","cardType":"basic","front":"Why should an unusual observation not be automatically treated as an error?","back":"It may be a genuine but rare result.","points":2,"mcqOptions":null},{"id":"d1d16c5c-8f0e-4428-832a-0f4f0c71d552","cardType":"basic","front":"What should be done before informally looking for possible outliers in ungrouped data?","back":"Arrange the observations in ascending order.","points":1,"mcqOptions":null},{"id":"18394abb-f416-46ed-b8eb-f42e50663d33","cardType":"basic","front":"What feature of ordered data may indicate a possible outlier?","back":"A large gap separating an observation from the main group.","points":1,"mcqOptions":null},{"id":"5c83f73b-49a0-4c90-afa9-f1200ab832e2","cardType":"basic","front":"Where does the middle half of an ordered data set lie?","back":"Between $Q_1$ and $Q_3$.","points":1,"mcqOptions":null},{"id":"fb340e5a-9b52-46c9-b481-d2871a2b0c4a","cardType":"cloze","front":"The interquartile range is calculated using $\\text{[...]}$.","back":"The interquartile range is calculated using $\\boxed{\\mathrm{IQR}=Q_3-Q_1}$.","points":null,"mcqOptions":null},{"id":"10ec9b28-aa8d-4bd0-92f2-f4996b5aa274","cardType":"basic","front":"Why is the IQR useful for identifying possible outliers?","back":"It is not greatly affected by extreme values.","points":2,"mcqOptions":null},{"id":"e49710cb-df39-415c-b3e5-4212c9efb91a","cardType":"cloze","front":"The lower outlier boundary is $\\text{[...]}$.","back":"The lower outlier boundary is $\\boxed{Q_1-1.5\\mathrm{IQR}}$.","points":null,"mcqOptions":null},{"id":"d6c3bdbe-e35b-4a34-b24b-7c3e22fd8267","cardType":"cloze","front":"The upper outlier boundary is $\\text{[...]}$.","back":"The upper outlier boundary is $\\boxed{Q_3+1.5\\mathrm{IQR}}$.","points":null,"mcqOptions":null},{"id":"31cf3d63-9783-49e1-8e29-bf02644e4a10","cardType":"basic","front":"Why is an observation below $Q_1$ not necessarily a possible outlier?","back":"It must be below the lower outlier boundary, not merely $Q_1$.","points":2,"mcqOptions":null},{"id":"c82f7f7c-910b-4fa1-88e6-67557b623d62","cardType":"basic","front":"Is an observation exactly on an outlier boundary normally classified as a possible outlier?","back":"No - it is not outside the permitted interval.","points":1,"mcqOptions":null},{"id":"8154621d-b2e6-4266-9ec1-060f89ac29e9","cardType":"basic","front":"How are possible outliers usually shown when marked separately on a box plot?","back":"As individual points beyond the whiskers.","points":1,"mcqOptions":null},{"id":"1f9e1383-f017-4d0c-9c5c-d5668867787c","cardType":"basic","front":"Why must the box-plot convention be checked before interpreting its whiskers?","back":"Whiskers may show the extremes or the most extreme non-outliers.","points":2,"mcqOptions":null},{"id":"045d6be3-d4e4-4a85-b336-2782071d32c7","cardType":"cloze","front":"In a histogram, each bar's [ ] represents its frequency.","back":"In a histogram, each bar's area represents its frequency.","points":null,"mcqOptions":null},{"id":"f87a9fa1-74e4-43a2-ba97-eef6fe0dbbf0","cardType":"basic","front":"Why can a histogram usually not identify an exact outlying observation?","back":"Grouping hides individual values within each class interval.","points":2,"mcqOptions":null},{"id":"00ec3881-1c5f-4de0-b207-03c411a35457","cardType":"cloze","front":"A scatter-graph point may be unusual because it lies far from the [ ].","back":"A scatter-graph point may be unusual because it lies far from the general trend.","poi

2.5.8 Data presentation and interpretation Flashcards

2.5.8 Data presentation and interpretation Flashcards