The California Highway Patrol (CHP) routinely compiles car crash data in California. The accompanying table shows shows a portion of the data for Santa Clara county It shows information on the type of car crash (Head-On or Not Head-On and light (Daylight or Not Daylight). (You mey find it useful to reference the appropriate table: chi-squere sable or Eable) DictureChck here for the Excel Data Fite Crash Not Head-On Not Head-On Light Not Daylight Daylight 290 Not Head-On Not Daylight a. Use the data to construct a contingency table Crash Type Light Condition Head On (H) Not Head On (NH) Daylight (D) Not Daylight (ND) b. Specify the competing hypotheses to determine whether crash type is related to light OH Crash Type and Light Condition are dependent HA Crash Type and Light Condition are independent O Ho Crash Type and Light Condition are independent. HA Crash Type and Light Condition are dependent c1. Calculate the value of the test statistic. (Round intermediete calculations to et least 4 decimel places and final answer to 3 decimal pleces.) Tost Statistic c-2 Conduct the test at the % significance level and make a conclusion O Reject Ho Crash Type and Light Condition are dependent OReject Ho Crash Type and Uight Condition are not dependent EO Do not reject Ho: Crash Type and Light Condition are dependent O Do not reject H Crash Type and Light Condition are not dependent

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter5: Business And Economic Forecasting
Section: Chapter Questions
Problem 1.1CE
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The California Highway Patrol (CHP) routinely compiles car crash data in California. The accompanying table shows shows a portion of
the data for Santa Clara county. It shows information on the type of car crash (Head-On or Not Head-On) and light (Daylight or Not
Daylight). (You mey find it useful to reference the appropriate table: chi-squere table or Esable)
DoictureChck here.for the Excel Data Eile
ID
Light
Not Daylight
Daylight
Crash
Not Head-On
Not Head-On
2
290
Not Head-On
Not Daylight
a. Use the data to construct a contingency table.
Crash Type
Light Condition
Head-On (H) Not Head On (NH)
Daylight (D)
Not Daylight (ND)
b. Specify the competing hypotheses to determine whether crash type is related to light
O Ho: Crash Type and Light Condition are dependent HA Crash Type and Light Condition are independent
O Ho: Crash Type and Light Condition are independent. HA Crash Type and Light Condition are dependent
c-1. Calculate the value of the test statistic. (Round intermediete calculetions to at least 4 decimel places and final answer to 3
decimal places.)
Tost Statistic
c-2 Conduct the test at the 1% significance level and make a conclusion.
O Reject Ho: Crash Type and Light Condition are dependent
O Reject Ho Crash Type and Light Condition are not dependent
O Do not reject Ho: Crash Type and Light Condition are dependent
O Do not reject Ho. Crash Type and Light Condition are not dependent
Transcribed Image Text:The California Highway Patrol (CHP) routinely compiles car crash data in California. The accompanying table shows shows a portion of the data for Santa Clara county. It shows information on the type of car crash (Head-On or Not Head-On) and light (Daylight or Not Daylight). (You mey find it useful to reference the appropriate table: chi-squere table or Esable) DoictureChck here.for the Excel Data Eile ID Light Not Daylight Daylight Crash Not Head-On Not Head-On 2 290 Not Head-On Not Daylight a. Use the data to construct a contingency table. Crash Type Light Condition Head-On (H) Not Head On (NH) Daylight (D) Not Daylight (ND) b. Specify the competing hypotheses to determine whether crash type is related to light O Ho: Crash Type and Light Condition are dependent HA Crash Type and Light Condition are independent O Ho: Crash Type and Light Condition are independent. HA Crash Type and Light Condition are dependent c-1. Calculate the value of the test statistic. (Round intermediete calculetions to at least 4 decimel places and final answer to 3 decimal places.) Tost Statistic c-2 Conduct the test at the 1% significance level and make a conclusion. O Reject Ho: Crash Type and Light Condition are dependent O Reject Ho Crash Type and Light Condition are not dependent O Do not reject Ho: Crash Type and Light Condition are dependent O Do not reject Ho. Crash Type and Light Condition are not dependent
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