This work of INF 103 Week 4 Assignment includes:

Reading Reflection

MIT, one of the most prestigious universities in the world, began sharing all their online content for free for every class about ten years ago (2000). Yet, every year thousands apply to get accepted at this elite school. It says much about the power and importance of the learning community there. This same concept applies online. Explain what the notion of an online community is all about.

 

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Industry Forecasting

Select an industry that interests you. Using the political, economic, social, technological, environmental, and legal (PESTEL) analysis as covered in the text, analyze the factors that may impact the industry that you have selected and the successful marketing of a company’s product. Evaluate the factors you perceive to be the biggest strengths and weaknesses. Describe some opportunities for growth that could be capitalized over the next five years.

Your paper must be a minimum of three pages (not including the title and reference pages) and be formatted according to APA style as outlined in the Ashford Writing Center. You must use at least three scholarly sources from the Ashford University Library, one of which must be peer reviewed, in addition to the textbook.

The paper:

· Must be three double-spaced pages in length (not including title and references pages) and formatted according to APA style.

· Must include a separate title page with the following:

o Title of paper

o Student’s name

o Course name and number

o Instructor’s name

o Date submitted

· Must use at least three scholarly sources, one of which must be peer reviewed, in addition to the textbook.

 

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Information from the American Institute of Insurance indicates the mean amount of life insurance per household in the United States is $110,000. This distribution is positively skewed. The standard deviation of the population is not known.a. A random sample of 50 households revealed a mean of $112,000 and a standard deviation of $40,000. What is the standard error of the mean?b. Suppose that you selected 50 samples of households. What is the expected shape of the distribution of the sample mean?c. What is the likelihood of selecting a sample with a mean of at least $112,000?d. What is the likelihood of selecting a sample with a mean of more than $100,000?e. Find the likelihood of selecting a sample with a mean of more than $100,000 but less than $112,000.

 

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1. What type of analysis is this?

a. Two-sample t-test

b. Paired t-test

c. Simple linear regression

d. Multiple linear regression

e. Contingency table analysis

2.What are the independent and dependent variables?

a. Dependent variable is unknown, independent variable = body temperature

b. Dependent variable is unknown, independent variable = heart rate

c. Dependent variable = heart rate, independent variable = body temperature

d. Dependent variable = body temperature, independent variable = heart rate

e. Variable order does not matter here, i.e. (x, y) is the same as (y, x).Either body temperature or heart rate can be the independent variable. The other is then the dependent variable.

3.What are the most appropriate null and alternative hypotheses for this analysis?

a. H0: b0 = 0, H1: b0 ≠ 0

b. H0: b1 = 0, H1: b1 ≠ 0

c. H0: β 0 = 0, H1: β 0 ≠ 0

d. H0: β 1 = 0, H1 β 1 ≠ 0

e. H0: ρ = 0, H1: ρ ≠ 0

4.What is the size of our sample?

a. 1

b. 128

c. 129

d. 130

e. Cannot be determined from the given information

InformationFor questions 8-18, refer to the following Information: In their 1992 JAMA article "A Critical Appraisal of 98.Degrees F, the Upper Limit of the Normal Body Temperature, and Other Legacies of Carl Reinhold AugustWunderlich," Mackowiak, Wasserman and Levine examined whether body temperatures (degrees Fahrenheit)can be predicted by heart rate (beats per minute). Think about it. When you have a fever, do you have ahigher heart rate? Could a higher heart rate be a mechanism of the body to generate higher bodytemperatures? The researchers generated the following results using SAS software; however, they do notknow how to interpret any of the output. Confident of your statistical abilities, they have come to you withtheir output and a list of questions. It’s now your job to help them interpret their output. Don’t let them down!Analysis of VarianceSum ofMeanSourceDFsquaressquareF ValuePr > FTapow4.461764.461768.800.8036Error12864 .88316CCorrected Total129BRoot MSE0.71197R-Square0.0643Dependent Mean98 .24923Adi R-Sa0.0570Coeff var0.72466Parameter EstimatesParameterStandardVariableDFEstimateErrort ValuePr > Itl95% Confidence LimitsIntercept96.306758.65770146.43<.000195.0053897 . 60813HR0.026338. 00888D8. 00360.808770. 84390

 

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Information about the cash ows for a four-yearnancial project are listed in the following table. The cash ows are assumed to follow a triangular distribution. The cost of implementing the project is expected to be between $60,000 and $70,000, with all values in this range being equally likely. Analysis of changes in the Consumer Price Index suggests that the annual rate of ination can be approximated with a normal distribution with a mean of 4 percent and standard deviation of 1.5 percent. The organization’s required rate of return is 20 percent. Develop a model in CB to analyze this situation and answer the following questions. Year

 

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