Exam 11: Asking and Answering Questions About the Difference Between Two Population Proportions
Exam 1: Collecting Data in Reasonable Ways44 Questions
Exam 2: Graphical Methods for Describing Data Distributions33 Questions
Exam 3: Numerical Methods for Describing Data Distributions32 Questions
Exam 4: Describing Bivariate Numerical Data33 Questions
Exam 5: Probability45 Questions
Exam 6: Random Variables and Probability Distributions57 Questions
Exam 7: Selecting an Appropriate Method4 Questions
Exam 8: Sampling Variability Sampling25 Questions
Exam 9: Estimation Using a Single Sample29 Questions
Exam 10: Asking and Answering Questions About a Population Proportion37 Questions
Exam 11: Asking and Answering Questions About the Difference Between Two Population Proportions22 Questions
Exam 12: Asking and Answering Questions About a Population Mean38 Questions
Exam 13: Asking and Answering Questions About the Difference Between Two Means27 Questions
Exam 14: Learning From Experiment Data8 Questions
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Careful and constant and hygiene is necessary to reduce the chance of transmitting
pathogens by healthcare professionals. Despite the importance of hand hygiene,
getting good compliance is challenging. One complicating factor is the potential for
observer bias. That is, compliance monitors might be fellow workers who might
report higher compliance than neutral observers. A study designed to assess this
possibility was conducted in a hospital in a large city. Trained observers working
"under cover" - monitored hand hygiene compliance of a randomly selected sample
of healthcare professionals over a calendar year. Some observers worked in the same
hospital as the professional being observed (Unit-based) while others did not (Non-
Unit-based). Data from one of the hospital units are presented in the table below.
Do these data provide sufficient evidence of the existence of observer bias? Hand hygiene compliance: Unit- and Non-unit-based monitors Observers Unit based Non Unit based Total Compliance 92 188 280 Non-compliance 37 108 145 Total 129 296 425 a) What are the appropriate null and alternative hypotheses?
b) Show the necessary calculations to demonstrate it is reasonable to use the large-
sample test for a difference in population proportions for these data.
c) Test the hypothesis you indicated in part (a), and interpret your result in the
context of the study.
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The pre-historic development of agriculture is an active area of research among
anthropologists. The transition from a hunter-gatherer society to an agricultural
society is generally assumed to be signaled by an increase in cavities in teeth.
Investigators recently studied teeth unearthed in two societies in Colorado:
Basketmakers, societies living in small villages, and Post-Basketmakers, societies
living in above-ground architectures such as pueblos. The investigators were
interested in whether the shift in shelter was associated with a shift in consumption
from hunting (meat) to agriculture (maize). Data on the numbers of individuals with
interproximal (between teeth) cavities are shown in the table below. Inter-proximal
cavities tend to occur more among populations subsisting primarily on agricultural
products. You may assume that it is reasonable to regard these two samples as
representative of teeth from these two populations. Population Inter- Proximal Cavities No Inter- proximal Cavities Basketmaker 68 91 Post-Basketmaker 60 39 a) Construct and interpret a 90% confidence interval for the difference in population
proportions of individuals with interproximal cavities, Basketmaker - Post-
Basketmaker.
b) Interpret the 90% confidence level
c) Based on your results in parts (a) and (b), would you say that a shift in
consumption patterns is a reasonable conclusion on the part of the investigators?
Justify your response with statistical evidence from parts (a) and/or (b).
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