StudyHub

1. Determine two methods to be used for consumer researchin developing the marketing plan. Provide rationale (Slide 1).
2. Keeping the target audience in mind, determine three traditional marketing methodsyou will use in developing the marketing plan and provide a rationale. Your response should address the following (Slides 2–4):

1. How will identified methods help in the acquisition of new customers?
2. How will identified methods help in the retention of existing customers?
3. What are the advantages and disadvantages of identified methods?
   3. Keeping the target audience in mind, determine three digital marketing methodsyou will use in developing the marketing plan and provide a rationale. Your response should address the following (Slides 5–7):
4. How will identified methods help in the acquisition of new customers?
5. How will identified methods help in the retention of existing customers?
6. What are the advantages and disadvantages of identified methods?
   4. Explain how the traditional and digital marketing methods you have selected will work together to optimize the brand. Your response should address the following (Slide 8):
7. Which method do you think could be most impactful in addressing your target audiences?
8. Which method do you think could be most effective in branding?
9. Can both digital and traditional marketing support the brand and growth of the business?
   5. Explain the crisis management strategiesthat should be implemented prior to reopening. Your response should address the following (Slide 9):
10. How can we focus on customer expectations to improve brand damage from the incident?
11. How can we support our employees’ needs in reopening the park?
12. What possible crises could arise relevant to the incident and reopening?
    6. Determine one legal and one ethical issuethat could arise and negatively impact the organization’s brand image upon reopening, and provide proactive steps that could be taken now to prevent them (Slide 10).

What to Submit

Submit a narrated PowerPoint presentation with 10–12 slides.

Part B

Hypothesis Testing: Data set 2 presents a sample of the number of defective flash drives produced by a small manufacturing company over the last 30 weeks. The company’s operations manager believes that the number of defects produced by the process is less than seven defective flash drives per week. Use this online calculator (or any statistical package that you are comfortable with) to construct a hypothesis test to verify the operations manager’s claim. Your hypothesis test should include null and alternative hypotheses, a t test statistic value, a p-value, a decision, and a conclusion. Submit a Word file that includes the hypothesis test.

Specifically, the following critical elements must be addressed:

1. Methodology
2. Analysis

Part C

The vice-president of administration at your company wonders whether employees are taking adequate amounts of vacation time. Employee burnout is a concern. Research suggests that an employee taking less than 1.4 weeks of vacation annually is very likely to experience burnout. You are asked to analyze the employee vacation data and conduct a hypothesis test with the following results:

t = 2.93
p = 0.0084

1. What factors should the vice-president consider in determining the presence of employee burnout?
2. Do employees take more than 1.4 weeks of vacation?
3. What reasons should the vice-president provide to the president to justify the recommendation on employee burnout?
4. Based on the data, is the presence of employee burnout an issue that may negatively impact the company?

Hypothesis Test
Context:
The operations manager believes the mean number of defective flash drives produced per week is less than 7.

I. Methodology
Null Hypothesis (H₀): μ ≥ 7 (The average number of defects is greater than or equal to 7)

Alternative Hypothesis (H₁): μ < 7 (The average number of defects is less than 7)

Test Used: One-sample t-test

Significance Level (α): 0.05

II. Analysis
Sample Mean: 6.03

Sample Size: 30 weeks

Hypothesized Mean: 7

t-Statistic: -3.73

One-tailed p-value: 0.0004

Decision & Conclusion:
Since the p-value (0.0004) is less than the significance level (0.05), and the t-statistic is negative, we reject the null hypothesis.

Conclusion: There is statistically significant evidence to support the operations manager’s claim that the average number of defective flash drives per week is less than 7.

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