Intro Stats, Books a la Carte Edition (5th Edition)
5th Edition
ISBN: 9780134210285
Author: Richard D. De Veaux, Paul Velleman, David E. Bock
Publisher: PEARSON
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Chapter 19, Problem 27E
a.
To determine
Calculate the component of chi square for the epidural/no breastfeeding cell.
b.
To determine
Find the p-value for chi square value is 14.87.
c.
To determine
State the conclusion for the data.
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Chapter 19 Solutions
Intro Stats, Books a la Carte Edition (5th Edition)
Ch. 19.3 - Why do we need the control group?Ch. 19.3 - Prob. 2JCCh. 19.3 - Prob. 3JCCh. 19.3 - Prob. 4JCCh. 19.3 - Prob. 5JCCh. 19.3 - Prob. 6JCCh. 19.4 - Prob. 7JCCh. 19.4 - Prob. 8JCCh. 19.4 - Prob. 9JCCh. 19 - Human births If there is no seasonal effect on...
Ch. 19 - Bank cards At a major credit card bank, the...Ch. 19 - Prob. 3ECh. 19 - Prob. 4ECh. 19 - Customer ages An analyst at a local bank wonders...Ch. 19 - Bank cards, once more A market researcher working...Ch. 19 - Human births, last time For the data in Exercise...Ch. 19 - Prob. 8ECh. 19 - Iliad injuries 800 BCE Homers Iliad is an epic...Ch. 19 - Prob. 10ECh. 19 - Prob. 11ECh. 19 - Prob. 12ECh. 19 - Dice After getting trounced by your little brother...Ch. 19 - MMs As noted in an earlier chapter, Mars Inc. says...Ch. 19 - Nuts A company says its premium mixture of nuts...Ch. 19 - Prob. 16ECh. 19 - NYPD and race Census data for New York City...Ch. 19 - Violence against women In its study When Men...Ch. 19 - Fruit flies Offspring of certain fruit flies may...Ch. 19 - Prob. 20ECh. 19 - Prob. 21ECh. 19 - Lottery numbers The fairness of the South African...Ch. 19 - Prob. 23ECh. 19 - Prob. 24ECh. 19 - Childbirth, part 2 In Exercise 23, the table shows...Ch. 19 - Prob. 26ECh. 19 - Prob. 27ECh. 19 - Prob. 28ECh. 19 - Prob. 29ECh. 19 - Does your doctor know? (part 4) In Exercises 24,...Ch. 19 - Prob. 31ECh. 19 - Prob. 32ECh. 19 - Prob. 33ECh. 19 - NYPD The table below shows the rank attained by...Ch. 19 - Prob. 35ECh. 19 - NYPD again Examine and comment on this table of...Ch. 19 - Cranberry juice Its common folk wisdom that...Ch. 19 - Prob. 38ECh. 19 - Montana A poll conducted by the University of...Ch. 19 - Fish diet Medical researchers followed 6272...Ch. 19 - Prob. 41ECh. 19 - Working parents In April 2009, Gallup published...Ch. 19 - Grades Two different professors teach an...Ch. 19 - Full moon Some people believe that a full moon...Ch. 19 - Grades, again In some situations where the...Ch. 19 - Full moon, next phase In Exercise 44, you found...Ch. 19 - Racial steering A subtle form of racial...Ch. 19 - Survival on the Titanic Newspaper headlines at the...Ch. 19 - Prob. 49ECh. 19 - Education by age Use the survey results in the...
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- P-value?arrow_forwardCanon says their standard ink cartridges should print an average of 1062 pages before needing to be replaced, but Lexmark wants to prove that it is actually less than that. They take a sample of 70 identical printers with Canon ink cartridges and find the mean number of pages printed was 1041. .05, does Lexmark have enough evidence to say that Canon's claim is false? 59 and a Using sarrow_forwardInterpret effect size t(90)=4.06, p=.001, n2= .11 Small, medium, or largearrow_forward
- 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 H0: μd=0 H1: μd≠0 T statistic: t = 1.053, P value = 0.327 Degrees of Freedom n-1 = 8-1= 7 critical value 2.3646 If t is less than 2.3646, or greater than 2.3646, reject the null hypothesis Level of significance: α=0.05 question: what a type 1 error and type 2 error would mean. Is it possible that we could have committed a type 2 error in conducting the testarrow_forwardGlaucoma 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.arrow_forwardGlaucoma 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.arrow_forward
- 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…arrow_forwardI need part C Thankyouarrow_forwardBlood pressure in women: The three quartiles for systolic blood pressure in a sample of 1213 women between the ages of 20 and 29 were Q1 = 99, Q2 = 111, and Q3 =114 Find the IQR .arrow_forward
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