Description
A dorm has 86 men and 132 women living in it. The number of men and women at the college is 753 and 1,063, respectively. The dean of students wonders if this dorm’s sex ration reflects the sex ratio of the college.
a. State the research hypothesis
b. What is the df study?
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Explanation & Answer
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observed men=86
expected men=753
observed women=132
expected women=1063
=1063-753=310
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is large enough that application of the finite population correction
would not make an appreciable difference in the results. Item C in the description of the data collection
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attitude toward Springdale Mall. What is the maximum likely error in the
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the breakdown of responses for variable 26 (sex of respondent),
determine the point estimate, then construct the 95% confidence
interval for = the population proportion of males. What is the maximum
likely error in the point estimate of the population proportion?Given
the breakdown of responses for variable 28 (marital status of
respondent), determine the point estimate, then construct the 95%
confidence interval for = the population proportion in the “single or
other” category. What is the maximum likely error in the point estimate
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may assume that these respondents represent a simple random sample of
all potential respondents within the community and that the population
is large enough that application of the finite population correction
would not make an appreciable difference in the results. Item C in the description of the data collection
instrument lists variables 7, 8, and 9, which represent the respondent’s
general attitude toward each of the three shopping areas. Each of these
variables has numerically equal distances between the possible
responses, and for purposes of analysis they may be considered to be of
the interval scale of measurement.a. Determine the point
estimate, then construct the 95% confidence interval for = the average
attitude toward Springdale Mall. What is the maximum likely error in the
point estimate of the population mean?b. Repeat part (a) for and , the average attitudes toward Downtown and West Mall, respectively.Given
the breakdown of responses for variable 26 (sex of respondent),
determine the point estimate, then construct the 95% confidence
interval for = the population proportion of males. What is the maximum
likely error in the point estimate of the population proportion?Given
the breakdown of responses for variable 28 (marital status of
respondent), determine the point estimate, then construct the 95%
confidence interval for = the population proportion in the “single or
other” category. What is the maximum likely error in the point estimate
of the population proportion?
Stats Homework
The Module 03 Homework assignment covers Chapter 8: Hypothesis
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Testing with One Sample. This chapter provides you with important
concepts for testing a hypothesis about a population mean, population
proportion, and population standard deviation/variance.For the Module 03 Homework, please download the Microsoft Word
document using the link below and follow the directions included in the
assignment. Module 03 Homework assignment
Complete Intermediate Algebra Discussion
M6D1: Applying a Rational Function5151 unread replies.5151 replies.Listed below are three examples of rational functions u ...
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M6D1: Applying a Rational Function5151 unread replies.5151 replies.Listed below are three examples of rational functions used to model particular situations. While the applications are not related, you will discover that the functions all exhibit a similar behavior.In many situations, a model is approximate. In the first two examples below, the functions were derived empirically, meaning they were determined by considering the actual, real-world results of a similar activity in the past. The model approximates what would happen in a future, similar situation.Other models, like the third example below, may be exact relations determined by known, fixed material and labor costs. That is, for physically meaningful values of n – you cannot make a negative number of DVDs or an infinite number of DVDs – the output C(n) is exact.Also, a model is often limited in its applicability. You will see this in all three of these examples, and the implications of these limitations will be a part of the resulting discussion.In the following examples, each function has a denominator, making them all rational functions, and so the denominator becoming zero has to be avoided because dividing by zero is undefined, or not allowed. For this activity, you will need to create and post a graph. The easiest way to plot points and graph a function and then generate an image of the work is to use Desmos, a free, online graphing calculator (Links to an external site.)Links to an external site.. The following information will help you with this work:Written directions on using the online calculator [PDF, 461 KB]Video directions on using the online calculator [Video, 3:32 mins]For your initial post, please do the following:Choose one of the rational functions in the examples given above.Select eight values of the independent variable for your chosen function, and then compute the corresponding output of the function. Show your calculations. For examples 1 and 2, use this random number generator (Links to an external site.)Links to an external site. to select your x-values. This will assure you’ve chosen a variety of values so your calculations will give you an idea of the range of the function. Make sure to specify Generate 8 random integers with a value between 1 and 100. For example 3, the random number generator is less useful. Just be sure to include some large numbers. For your chosen rational function, plot the eight data points you computed in (2) and then plot the entire function so that the graph passes through the points you plotted. This will require that you specify the window of your graph.For examples 1 and 2, the specified window of your graph should include all the possible values of the independent variable x. You will not be able to include all y values (you will see why), but specify the range of the y-axis so that you can see what happens when x is close to 100.For example 3, you cannot include all possible values of the independent variable x. But extend the x-axis out far enough to see what happens as xgets increasingly large.In your post:Show your calculations from part (2).Describe what the graph tells you about your corresponding example problem.Finally, insert the image of your graph (see instructions above).
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