Gift Preferences Survey Results

Oct 13, 2025 by orovajewels.com 68 views

A Company Boss's Gift Conundrum: A Statistical Analysis

As a company boss, it's essential to show appreciation and gratitude towards employees for their hard work and dedication. One way to do this is by ordering a gift for each of them. However, with a large number of employees, it can be challenging to determine the most popular gift. In this scenario, the company boss takes a sample of 30 employees to gather information about their gift preferences. The table below shows the results of this survey.

Gift Preferences Survey Results

Gift	Number of Employees
Watch	15
Phone	8
Laptop	4
Tablet	2
Headphones	1

The company boss is planning to order a gift for each of the 110 employees in the company. To make an informed decision, he takes a sample of 30 employees to gather information about their gift preferences. The results of this survey are shown in the table above.

Interpretation of Results

From the table, we can see that the most popular gift among the sampled employees is the watch, with 15 employees preferring it. This is followed by the phone, with 8 employees preferring it. The laptop and tablet are the least preferred gifts, with only 4 and 2 employees preferring them, respectively.

Hypothesis Testing

To determine whether the sample results are representative of the entire population, we can perform a hypothesis test. Let's assume that the population proportion of employees who prefer a watch is p. We can use the sample proportion to estimate p.

Sample Proportion

The sample proportion of employees who prefer a watch is 15/30 = 0.5.

Population Proportion

We can use the sample proportion to estimate the population proportion. Let's assume that the population proportion is p.

Null Hypothesis

H0: p = 0.5 (i.e., the population proportion of employees who prefer a watch is 0.5)

Alternative Hypothesis

H1: p ≠ 0.5 (i.e., the population proportion of employees who prefer a watch is not 0.5)

Test Statistic

We can use the following test statistic to test the null hypothesis:

t = (x̄ - μ) / (s / √n)

where x̄ is the sample mean, μ is the population mean, s is the sample standard deviation, and n is the sample size.

P-Value

The p-value is the probability of observing a test statistic at least as extreme as the one we obtained, assuming that the null hypothesis is true.

Conclusion

Based on the sample results, we can conclude that the population proportion of employees who prefer a watch is likely to be different from 0.5. This suggests that the sample results are not representative of the entire population.

Implications

The results of this survey have several implications for the company boss. Firstly, it suggests that the company should consider ordering a gift that is more popular among employees, such as a watch. Secondly, it highlights the importance of taking a representative sample of employees to gather information about their gift preferences.

Limitations

There are several limitations to this study. Firstly, the sample size is relatively small, which may not be representative of the entire population. Secondly, the survey only asked employees about their gift preferences, which may not be the only factor that influences their decision.

Future Research

Future research could involve taking a larger sample of employees to gather more information about their gift preferences. Additionally, researchers could investigate other factors that influence employees' gift preferences, such as age, gender, and job title.

Conclusion

In conclusion, the results of this survey suggest that the company boss should consider ordering a gift that is more popular among employees, such as a watch. However, the sample results are not representative of the entire population, and further research is needed to confirm these findings.

Recommendations

Based on the results of this survey, the company boss is recommended to:

Order a gift that is more popular among employees, such as a watch
Take a larger sample of employees to gather more information about their gift preferences
Investigate other factors that influence employees' gift preferences, such as age, gender, and job title

References

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Appendix

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Business Implications

The results of this survey have several business implications. Firstly, it highlights the importance of taking a representative sample of employees to gather information about their gift preferences. Secondly, it suggests that the company should consider ordering a gift that is more popular among employees, such as a watch. This can help to increase employee satisfaction and engagement, which can ultimately lead to improved business outcomes.

Conclusion

Q: What is the purpose of taking a sample of employees to gather information about their gift preferences? A: The purpose of taking a sample of employees is to gather information about their gift preferences in a cost-effective and efficient manner. This allows the company boss to make an informed decision about which gift to order for the entire company.

Q: How was the sample of 30 employees selected? A: The sample of 30 employees was likely selected randomly from the population of 110 employees. This ensures that the sample is representative of the entire population.

Q: What is the most popular gift among the sampled employees? A: The most popular gift among the sampled employees is the watch, with 15 employees preferring it.

Q: What is the least popular gift among the sampled employees? A: The least popular gift among the sampled employees is the headphones, with only 1 employee preferring it.

Q: Can we assume that the sample results are representative of the entire population? A: No, we cannot assume that the sample results are representative of the entire population. The sample size is relatively small, and there may be other factors that influence employees' gift preferences.

Q: What is the population proportion of employees who prefer a watch? A: We can use the sample proportion to estimate the population proportion. Let's assume that the population proportion is p. We can use the sample proportion to estimate p.

Q: What is the null hypothesis in this scenario? A: The null hypothesis is that the population proportion of employees who prefer a watch is 0.5 (i.e., H0: p = 0.5).

Q: What is the alternative hypothesis in this scenario? A: The alternative hypothesis is that the population proportion of employees who prefer a watch is not 0.5 (i.e., H1: p ≠ 0.5).

Q: What is the test statistic in this scenario? A: The test statistic is the t-statistic, which is calculated as (x̄ - μ) / (s / √n), where x̄ is the sample mean, μ is the population mean, s is the sample standard deviation, and n is the sample size.

Q: What is the p-value in this scenario? A: The p-value is the probability of observing a test statistic at least as extreme as the one we obtained, assuming that the null hypothesis is true.

Q: What are the implications of the results of this survey? A: The results of this survey suggest that the company should consider ordering a gift that is more popular among employees, such as a watch. Additionally, the survey highlights the importance of taking a representative sample of employees to gather information about their gift preferences.

Q: What are the limitations of this study? A: The limitations of this study include the small sample size and the fact that the survey only asked employees about their gift preferences.

Q: What are some potential future research directions? A: Some potential future research directions include taking a larger sample of employees to gather more information about their gift preferences and investigating other factors that influence employees' gift preferences, such as age, gender, and job title.

Q: What are the business implications of the results of this survey? A: The results of this survey have several business implications, including the importance of taking a representative sample of employees to gather information about their gift preferences and the need to consider ordering a gift that is more popular among employees, such as a watch. This can help to increase employee satisfaction and engagement, which can ultimately lead to improved business outcomes.