Question

An adminstrator working for Texas ISD wants to know whether or not the students ticketed for expired inspection stickers are likely to have prior auto violations on their record as do not. The data and SPSS output is as follows. Data point: Priors Observed: 25; Data Point: No Priors Observed: 61 Answer below: 1. State null and alternative hypothesis. H(o): The populationb distribution is uniform - an equal percentage of the population have prior ticket convictions as do not. H(alpha): The populationb distribution is not uniform - an unequal percentage of the population have prior ticket convictions as do not. 2. State level of significance or a "alpha". For this example use alpha = .05

Name: an adminstrator working for texas isd wants to know whether or not the students ticketed for expired inspection stickers are likely to have prior auto violations on their record as do not th 88841
Uploaded: 2023-08-13T04:51:30-08:00
Duration: 1 min 29 s
Channel: Qudsiya Anis
Description: an adminstrator working for texas isd wants to know whether or not the students ticketed for expired inspection stickers are likely to have prior auto violations on their record as do not th 88841

          An adminstrator working for Texas ISD wants to know whether or not the students ticketed for expired inspection stickers are likely to have prior auto violations on their record as do not.  The data and SPSS output is as follows.  Data point:  Priors  Observed:  25; Data Point:  No Priors  Observed:  61  Answer below:  1.  State null and alternative hypothesis.  H(o):  The populationb distribution is uniform - an equal percentage of the population have prior ticket convictions as do not.  H(alpha):  The populationb distribution is not uniform - an unequal percentage of the population have prior ticket convictions as do not.  2.  State level of significance or a "alpha".  For this example use alpha = .05

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