In a random sample of soldiers who fought in the battle of Preston 774 soldiers were from the new model army and 226 for from the royalist army. Use a 0.05 significance level to test the claim that fewer than one quarter of the soldiers were loyalist. Critical Values:z0.005=257520.01=2.325,20.025=\9l6,Z0.06= 1.(d5,Z0.1=1,282When d.f. #31itocos=2:744,toa=2,453, to.025=2.040,toos=\.l696. to1=1.309%3D%3D%3D%3DLAna randam sample of soldiers who fought inAhe Battle of Preston, 774 soldiers were from theNew Model Army, and 2266 were fron theRoyalist Army. Usetest the claim that fever than one quarter ofthe soldiers were Rayalists,Soldiers who fouaht ina 0.05 siqnificance level to

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Description: In a random sample of soldiers who fought in the battle of Preston 774 soldiers were from the new model army and 226 for from the royalist army. Use a 0.05 significance level to test the claim that fewer than one quarter of the soldiers were loyalist

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In a random sample of soldiers who fought in the battle of Preston 774 soldiers were from the new model army and 226 for from the royalist army. Use a 0.05 significance level to test the claim that fewer than one quarter of the soldiers were loyalist.

In a random sample of soldiers who fought in the battle of Preston 774 soldiers were from the new model army and 226 for from the royalist army. Use a 0.05 significance level to test the claim that fewer than one quarter of the soldiers were loyalist.

College Algebra (MindTap Course List)

12th Edition

ISBN:9781305652231

Author:R. David Gustafson, Jeff Hughes

Publisher:R. David Gustafson, Jeff Hughes

Chapter4: Polynomial And Rational Functions

Section4.6: Rational Functions

Problem 11SC: Find the mean hourly cost when the cell phone described above is used for 240 minutes.

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Find the mean hourly cost when the cell phone described above is used for 240 minutes.
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Glaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure. Use ? = .05. Q) If a participant has the same corneal thickness in their normal eye as the eye with Glaucoma, what would be the value for difference: measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma.
Glaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure. Use ? = .05. Q)Conduct a hypothesis test to determine if there is sufficient evidence to conclude that corneal thickness is different in normal eyes compared to eyes with glaucoma? Write up your results using the 8 steps.
Glaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure. Use ? = .05. Hypothesis: H0: μd=0Ha: μd≠0 Using output Test statistics : t=0.134P value=0.897 Degrees of freedom (df): df=7 Level of significance: α=0.05 Decision: P value > 0.05 thus we fails to reject null hypothesis. Question a)Write a report summarizing your findings. When writing the report consider that medical staff estimate that a difference of 4.5 microns or more could impact on their ability to interpret eye pressure correctly. b) Define for the hypothesis stated in part b) what a type 1 error and type 2 error would mean. Is it possible…
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Number 2 only, thank you.