Suppose that there are two candidates in the upcoming presidential election, can

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Suppose that there are two candidates in the upcoming presidential election, candidate A and candidate B. Sara notes that she has discussed the presidential election candidates with 15 friends, and 10 said that they are voting for candidate A. Sara is therefore convinced that candidate A will win the election because A gets more than 50 percent of votes.
Answer the following questions in a Word document and submit:
Based on what you now know about statistical inference, is Sara’s conclusion a logical conclusion? Why or why not?
How many friend samples Sara should have in order to draw the conclusion with 95 percent confidence interval? Why?
How would you explain your conclusion to Sara without using any statistical jargon? Why?

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Question One: Forecasting Models and Types of Data There are different types of

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Question One: Forecasting Models and Types of Data
There are different types of forecasting models that can be used in business research. Each model is suitable for a type of historical demand data. Some data may have a trend, may be without a trend, or may be seasonal.
How can trendless data be evaluated?
How does a trailing-moving average compare to a centered-moving average?
When should exponential smoothing be used for data? Explain with an example.
In exponential smoothing, what type of smoothing constant should be chosen for little smoothing compared with moderate smoothing?
Question Two: Research Process
The research process is a well-structured methodology that aids the manager to make an educated business decision. The most important element of this process is the source of data used. The better the data, the better the result. Data must come from a sample that is random and large enough.
What are the six stages in a research process?
Which stage is the most difficult to complete? Why?
Which stage is the most important? Why?
How important is it to have accurate data?
Justify your answers using examples and reasoning. Comment on the postings of at least two peers and whether you agree or disagree with their views.

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There are different types of appeared first on homework handlers.

When we are conducting a hypothesis test, we need to consider the alpha level, o

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When we are conducting a hypothesis test, we need to consider the alpha level, or significance level, of the test. For example, a 95% confidence level means that we are testing at a significance level of .05. At .05, we are willing to accept a 5% chance of committing a type one error–rejecting the null hypothesis when the null hypothesis is true. In conducting our test, we consider the p level. What is the p level of a test. What should it be (at a .05 significance level) in order to reject the null hypothesis? 

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When we state a hypothesis the null hypothesis indicates that we are not seeing

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When we state a hypothesis the null hypothesis indicates that we are not seeing anything other than sampling variation. For example, if a state that the null hypothesis is that p=.60, then I am saying that the probability (or proportion) is 60–give or take a certain percentage based on sampling.
What might be an alternate hypothesis for this situation?

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