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Business Research Project Part 4

Darrick Hogan, Sasha Bell, Raymonde Coffy, Cassandra Parker, Victoria Gosa & Beverly Smith

QNT/561

July 28, 2014

Professor Joseph Hamel

Business Research Project Part 4

In week four, the team developed descriptive statistics and interpretation analysis to understand descriptive statistics better. The team had to collaborate using the descriptive analysis and interpretation to compare strengths, weaknesses, and the differences that would give the team the best tactic to have a reliable descriptive analysis and interpretation.

Strengths and Weaknesses of Data Analysis

The mean, mode, standard deviation, and confidence interval provided, which supported by a histogram, a chart, and raw data. The calculations allowed the team to discern if data normally distributed or skewed. It allowed the team to validate the skewers or normal distribution by comparing against the graphs and histograms. The team also established a 95% confidence interval. As the project continues, the confidence interval can be used to establish how much confidence the team can have in the results.

Weaknesses

The team needs to go more in depth with discerning the relationship between the two variables presented. Data could have been more supportive. The team still has to determine if the customer experience impacts the frequency in which customers’ comeback to drink at the Coffee Shop. Validity of the hypotheses has not been achieved yet.

Numeric Variable Frequency of Coffee Drinking 1

This survey completed on 100 customers that drink coffee in coffee shops. The survey shows that about 100 customers drink on average 10.35 cups of coffee per week. The standard deviation is 7.624. I want 95% confidence interval which is -4.699.

Numeric Variable Coffee Experience 2

This survey completed with 100 customers that drink coffee in coffee shops to allow customers to rate their whole coffee experience. The averages of customers were extremely satisfied with their coffee experience. The standard deviation is 0.925. I want 95% confidence interval which is 1.637.

Differences in the Data Analysis

There are a few differences in this week assignment. One difference in the studies is with frequency of drinking coffee. While one study focused on the purchases the coffee shop made each day, the other studies focused on how many times the coffee shop visited, and the average cups of coffee bought per week. Another difference in the studies was with the customer’s experiences. One study provided a survey on 50 randomly selected customers did on a rating scale from 1 to 5 to get an average of how their experience was, while the other study did a survey on 100 customers that drink coffee in the coffee shop.

Conclusion

In this week’s assignment, Team C developed an analysis of the data team members presented in week four individual assignments. This paper identified the strengths, weaknesses, and differences of the descriptive analysis and interpretation data. The team changed the data and determined that more supportive data to complete the research. The team gathered the information from all the data and presented a more uniform descriptive statistics interpretation.

References