BTM8106-8-2 Jackson Even-Numbered Chapter Exercises

Even-numbered exercises analyzing business research techniques.

Benjamin White
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BTM8106-8-21Part IBTM8106-8-2JACKSON EVEN-NUMBERED CHAPTER EXERCISES (PP. 220-221).2a.Thisisa one-tail test because themanufacturers of the toothpastewant toprovethattheirnew toothpaste prevents more cavitiesthan other brands of toothpaste(their sample vs. thegeneral population.2b.Ho: μcavities withtoothpaste1μcavities in general populationHa:μcavities with toothpaste1>μ cavities in generalpopulation2c.σ=1.12 /60 = 1.12 / 7.745: =.144z= 1.73-1.5 /.144= .23/.144: =1.5972d.±1.645(Jackson, p.205).2e.No, it should not be rejected. If the p-value is large,(> .05)than the evidence against the nullhypothesis is small.The conclusion is that using the manufacturer’s toothpaste prevents morecavities than their competitor’s toothpaste.2f.σ= 1.12 /60 = 1.12 / 7.745: = .144CI = 1.50±1.96 x 1.12 /60: = 1.50±1.96 x .144: = 1.50±.28341.5-.2834 =1.2166, 1.5 + .2834 =1.78344.He is morelikely to make a Type I error.6a.This is a two-tailed test.6b.Ho: μclassical music listenersμspatial abilityin general populationHa: μclassical musiclisteners> μspatial ability ingeneral population6c.= 52 +59 + 63 + 65 + 58 + 55 + 62 + 63 + 53 + 59 + 57 + 61 + 60 + 59 / 14: = 59(52-59)² / 14-1, + (59-59)² / 141: = 3.80259-58 / 3.802 /14 = 1 / 1.0161:.9841

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BTM8106-8-226d.2.16036e.No, it should not be rejected. The conclusion is thatlisteners ofclassicalwill scoredifferently a tests of spatial ability.6f.59 ± 2.1603 x 3.8028 /14= 59±2.1956:56.8044μ61.9568a.1.04238b.18c.3.84158d.Fail reject the nullhypothesis. People in California is greater thanthe national exercise rate.What are degrees of freedom? How are the calculated?They are the number of scores in a sample that are free to vary. Degrees of freedom in anequation is vital since the number of degrees letsusknow how many values in the finalcalculation are allowed to vary. Since statistics attempts to be as precise as possible, the degreesof freedom calculation is done often and contributes to the validity ofthe outcome (Lawrence,2015). There isnogeneralrule for determining the degrees of freedom that applies to everyinference problem.However,these are the general considerations used in determining thedegrees of freedom: type of statistical test needed to run; number ofindependent variables in thepopulation or sample; and the critical values for the equation using a critical value table.What do inferential statistics allow you to infer?They allow researchers to draw conclusions about a population based on data collected froma sample.According to Cozby and Bates (2012) they are used to determine whether the resultsofan experimentwould match the results of repeated experiments using multiple samples;“inferring that the difference insample meansreflects a true difference in thepopulation means(p. 263).
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