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2. Determine which of the four levels of measurement (nominal, ordinal, interval, rati) is most appropriate. (1 point) The rank of contestants in a competition. O Nominal O Ratio O Interval ® Ordinal 3. A confectionery company that uses only natural flavoring is approached by a company that (1 point) produces artificial flavors. The artificial flavor producer presents a study that shows 99% of people cannot tell the difference between artificial flavors and natural flavors. What is the problem with this study? O correlation and causality O self interest missing data O voluntary response
4. A researcher selects a random sample of 500 college students from Kentucky. It is found that (2 potnt) 23% of students in the sample are science majors. The actual percentage ofKentucky college students that are science majors is 26%, which type of error explains this discrepancy? O nonsampling error O confounding @ blinding error sampling error
5. The frequency distribution below summarizes the home sale prices in the city of Summerhill point) for the month of June. Determine the upper class limits. (Sale Price in thousand S) Frequency 80.0-110.9 111.0-141.9 142.0-172.9 173.0-203.9 204.0-234.9 235.0-265.9 2 10 110.9, 1419, 172.9, 203.9, 234.9, 265.9 O 79.95, 110.95, 141.95, 172.95, 203.95, 234.95 80, 111, 142, 173, 204, 235 o 110.95, 141.95, 172.95, 203.95, 234.95, 265.95
Gender vs. Vehicle Preference Sports Car SUV Truck Total Female 4 78 137 219 Male 199 172 437 Total 203 144 309 656 O 35.6% O 54.2% 0.02% O 44.3% 62.690
8. Find the original data from the stemplot below. (1 point) Stem Leaves 6 1 7 7 1 1 3 5 8 1 3 3 7 9 9 3 5 O 61, 67, 71, 73, 75, 83, 83, 87, 87, 89, 93, 97 O61, 67, 71, 73, 73, 75, 83, 83, 85, 87, 89, 93, 95 63, 63, 65, 71, 71, 73, 75, 81, 81, 87, 93, 95 61, 67, 71, 71, 73, 75, 81, 83, 83, 87, 89, 93, 95
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Answer #1

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Ordinal

The ordinal type allows for rank order (1st, 2nd, 3rd, etc.) by which data can be sorted, but still does not allow for a relative degree of difference between them. Examples include, on one hand, dichotomous data with dichotomous (or dichotomized) values such as 'sick' vs. 'healthy' when measuring health, 'guilty' vs. 'not-guilty' when making judgments in courts, 'wrong/false' vs. 'right/true' when measuring truth value, and, on the other hand, non-dichotomous data consisting of a spectrum of values, such as 'completely agree', 'mostly agree', 'mostly disagree', 'completely disagree' when measuring opinion.

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