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Across all of India, there are only 933 girls for every 1000 boys (Lloyd, 2006), evidence of a bias that leads many parents to illegally select for boys or to kill their infant girls. (Note that this translates into a proportion of girls of 0.483.) In Punjab, a region of India in which residents tend to be more educated than in other regions, there are only 798 girls for every 1000 boys. Assume that you are a researcher interested in whether sex selection is more or less prevalent in educated regions of India and that 1798 children from Punjab constitute the entire sample.
a. How many variables are there in this study? What are the levels of any variable you identified?
b. What hypothesis test would be used to analyze these data? Justify your answer.
c. Conduct the six steps of hypothesis testing for this example. (Note: Be sure to use the correct proportions for the expected values, not the actual numbers for the population.)
d. Report the statistics as you would in a journal article.
Suppose the waiting time at a traffic light has a uniform distribution from 0 to 20 seconds. Determine the probability of waiting exactly 12 seconds, less than 5 seconds, more than 10 seconds.
The questions below should be answered completely and carefully. Refer to the 'Escape Fire Bb Upload' document for statistics and other information which may help you to formulate your answers.
If the mailing list can be considered a random sample of the population, what is the chance that at least 1245 Macintosh users will receive the flyer?
Let X have normal density with mean 1 and variance 9. Find the inflection points of its density.
What are the independent and dependent variables in this study? Identify the type of design that Dr. Smith used. What variables are confounded with the independent variable?
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a mineral economist estimated that a particular mining venture had probability 0.4 of a 30 million loss probability 0.5
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a community vote is being held to see if a factory will be built in the community. a survey firm randomly surveyed 180
A recent study reported that the prevalence of hyperlipidemia (defined as total cholesterol over 200) is 30% in children 2-6 years of age. If 12 children are analyzed,
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