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When dealing with issues such as professional ethics, the stakes can be high. This is why such care is taken to painstakingly clarify terms such as integrity and independence in the AICPA Professional Code of Conduct, as they could otherwise be open to interpretation. In this week's discussion, you will find illustrative examples of these key principles to share and discuss with your peers.

First, review the terms and definitions identified in the "Principles of Professional Conduct" section of the preamble to the AICPA Professional Code of Conduct. Select one of the principles (e.g., responsibilities, public interest, integrity, objectivity and independence, due care, or scope and nature of services) and research a current event that demonstrates that principle being threatened or otherwise not adhered to. (This does not need to be a case strictly about accounting—it could be any relevant business scenario. If you have trouble finding a current event, you can create a hypothetical scenario related to your final project business.)

If Alice invests $8400, Ben $1950, and Carlos invests $850 in a dive which results in finding 35 gold coins, Apportion the coins to the investors using:

a. Using Jefferson’s Method

b. Using the Huntington-Hill Method

The Retention rates for twelve (12) HBCUs for the academic school year (2018- 2019) were as follows. 25, 14, 62, 31, 24, 43, 45, 29, 44, 34, 54, & 23

Determine the following:

a. 43 rd Percentile

b. 22 nd Percentile

c. 77 th Percentile

d. 41st Percentile

e. 59 th Percentile

***Explain please

The Retention rates for twelve (12) HBCUs for the academic school year (2018- 2019) were as follows. 25, 14, 62, 31, 24, 43, 45, 29, 44, 34, 54, & 23

Determine the following:

a. 433d Percentile

b. 22nd Percentile

c. 77th Percentile

d. 41st Percentile

e. 59th Percentile

***Explain please

As a increases, so does the power to detect an effect. Why, then, do we restrict a from being larger than .05?

1.            The mean wait time at Social Security Offices is 25 minutes with a standard deviation of 11 minutes. Use this information to answer the following questions:

A.            If you randomly select 40 people what is the probability that their average wait time will be more than 27 minutes?

B.            If you randomly select 75 people what is the probability that their average wait time will be between 23 and 26 minutes?

C.            If you randomly select 100 people what is the probability that their average wait time will be at most 24 minutes?

2.            The proportion of people who wait more than an hour at the Social Security Office is 28%. Use this information to answer the following questions:

A.            If you randomly select 45 people what is the probability that at least 34% of them will wait more than an hour?

B.            If you randomly select 60 people what is the probability that between 25% and 30% of them will wait more than an

hour?

C.            If you randomly select 150 people what is the probability that less than 23% of them will wait more than an hour?

Some researchers claim that herbal supplements such as ginseng or ginkgo biloba enhance human memory.  To test this claim, a researcher selects a sample of n = 25 college students.  Each student is given a ginkgo biloba supplement daily for six weeks and then all the participants are given a standardized memory test.  Scores on the test are normally distributed with μ = 70 and σ = 15.  The sample of n = 25 students had a mean score of M = 75.  Is this sample sufficient to conclude that the herb has a significant effect on memory?  Use a two-tailed test with α = .05.

1. State the Independent and Dependent Variables
2. State the Null Hypothesis in words and symbols.

b State the alternative Hypothesis in words and symbols.

3. Compute the appropriate statistic.
4. What is the decision (Retain or Reject)
5. State the full conclusion in words

Effect

Direction

Size of Effect

A researcher knows that the body weights of 6-year olds in the state is normally distributed with µ = 20.9 kg and σ = 3.2.  She suspects that children in a certain school district are different.  With a sample of n = 16 children, the researcher obtains a sample mean of M = 22.8.  

1. State the Independent and Dependent Variables
2. State the Null Hypothesis in words and symbols.

b State the alternative Hypothesis in words and symbols.

3. Compute the appropriate statistic.
4. What is the decision (Retain or Reject)
5. State the full conclusion in words

Effect

Direction

Size of Effect

Use a two-tailed test and the .05 of significance to determine if the weights for this sample are significantly higher  than what would be expected for the regular population of 6-year- olds.

We know the distribution of potato weights arriving to a potato processing factory follows a normal distribution with mean of 120 grams and standard deviation of 20

1. What is the probability (proportion) of product expected to be less than 100 grams?

2. What is the probability (proportion) of product expected to be more than 135 grams?

3. What is the probability (proportion) of product expected to be less than 90 grams and more than 150 grams?

3 customers a minute arrive at a toll booth

1. What is the probability that 0 customers will arrive in a minute?

2. What is the probability that 1 customer will arrive in a minute?

3. What is the probability that 2 customers will arrive in a minute?

4. What is the probability that 2 or less customers will arrive in a minute?

5.What is the expected value (mean) and variance?

To estimate the mean number of visitors(per/week) to the W.I.U Main Library, a random sample of 12 weeks selected. The sample mean is found to be 2509 visitors with a sample standard deviation of 630 visitors.

(a) Estimate the mean number of visitors per week to the WIU library with a 95% confidence interval.

(b) What is the critical value and degrees of freedom in above confidence interval?

(c) What does this interval mean?

If you wanted to calculate a 90% confidence interval for the difference in average
number of friendship contacts between primary aged boys and girls and we are
pretending that df=12, what t scores would you use? (assuming equal variances again)
A. ☐+/- 1.356
B. ☐+/- 2.681
C. ☐+/- 1.782
D. ☐+/- 2.179
E. ☐+/- 3.055
9. Suppose you calculated your 90% interval as described above and your lower
confidence limit was
–2.75 and your upper confidence limit was 3.20. What would that mean?
A. ☐It would mean that boys have 2.75 fewer contacts than girls on average
B. ☐It means that girls have 8.95 more contacts on average than boys
C. ☐It means that there may be no difference between the average number of
contacts for boys and girls
D. ☐It means that girls definitely have more contacts than boys
E. ☐It means that girls have 3.20 times more friendship contacts than boys
10. If you were to increase your confidence level to 99%, holding everything else
constant
A. ☐Your interval would be more precise
B. ☐You would be less likely to miss the population value
C. ☐Your interval would be wider
D. ☐You would have less confidence
E. ☐You would have to change your df

4. Did the class of service play a role in the survival of passengers in the infamous Titanic disaster? The data shown represents the survival status of passengers by class of service.

Is class of service independent of survival rate? Use the ? = 0.10 level of significance. (Show all six steps for hypothesis testing.)

Show your work for calculating the test statistic by writing terms ?, ?, (?−?)2 for each cell. ?

. Lead concentrations in drinking water should be below the EPA action level of 15 parts per billion (ppb). We want to know if drinking water,  is safe or not, and will conduct a hypothesis test shown below ?0: Water is safe vs. ??: Water is not safe to drink

(explanation please)

(a) Describe the type I error in the context of the problem and give potential consequences of such error.

(b) Describe the type II error in the context of the problem and give potential consequences of such error.

(c) Considering the potential consequences of type I and type II errors, what would be the more detrimental error to commit? Explain/Defend your answer.

(d) Considering the potential consequences of errors from

(c), which one (1%, 5%, or 10%) should you choose for a significance level? Explain why.

Suppose that weekly expenses for two student organizations are thought to be similar. A random sample of 10 weeks yields the following weekly expenses for each organization:

Organization A           Organization B

     $ 119.25                      $ 111.99

     $ 123.71                      $ 116.62

     $ 121.32                      $ 114.88

     $ 121.72                      $ 115.38

     $ 122.34                      $ 115.11

     $ 122.42                      $ 114.40

     $ 120.14                      $ 117.02

     $ 123.63                      $ 113.91

     $ 122.19                      $ 116.89

     $ 122.44                      $ 121.87

Use a Wilcoxon Rank Sum Test to determine whether expenses differ for the two organizations. Test at the 0.05 level.