METH PHASE TWO

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Western University *

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4624

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Statistics

Date

Feb 20, 2024

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9

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METH - 7024 Applied Research Methods Client Project Phase Two Reham Al Balkhi, Mandy Babbey and Garrett MacMillan November 21, 2022 Dr. John Drozd
B. Variable Included a Mean? Key Takeaway(s) from Graph Have you attended any live music events in the past year? No That 223 respondents have attend live music events, which is not significantly higher than those who did not attend live music events. How many live music events did you attend in the last year? Yes That the data is skewed toward attending 0-10 live music events within a year. As well, 60 events attended it an outlier that contributes to the standard deviation calculation. What percentage of the live music events that you attended were at a Bar/Pub/Nightclub/Tavern? Yes Most individuals attended only 1 music event at a bar/pub. nightclub/tavern with the second largest amount being 5 events. The average amount of events was 2.6. How much on average do you typically pay to watch live music at a Bar/Pub/Night Club/Tavern? Yes On average respondents typically pay $23.61, however due to the outliers of over $150 the data is skewed. Looking at the information most respondents are willing to pay in the 0-20 dollar range. What is your top genre of music to watch live at a Bar/Pub/Night Club/Tavern? No The most popular genre of music was rock, followed by county music, the lowest interest was punk. Are you currently employed? No Full time employed and part time employed were the majority for respondents. Indicating that most respondents are employed. What activities have you engaged in at Palasad Socialbowl in the past year ? No The most popular answer for activities was dining followed by bowling, with very few indicating “other” as an activity, and a very small percentage attended corporate events.
Variable Included a Mean? Key Takeaway(s) from Graph What is the best way for business to reach you regarding events and offers? No The majority of respondents prefer to be reached through social media, followed by email. Therefore the business should take interest in what social media platforms work best to reach their patrons and what content provides the best click streams. It appears that print was the least popular way to reach patrons. What social media sites do you visit multiple times per week? No The respondents favored Instagram followed by Facebook as the social media sites they visit multiple time per week. Client should use these forms of social media to provide information about events and what is happening at Palasad. How likely are you to visit Palasad Socialbowl if there was live music? Yes Based on the data the majority of respondents are less likely to attend Palasad Socialbowl if there was live music. However, when examining the average it appears that there are neutral feelings at 3,51 out of 5. What is you annual household income? No The annual household income is skewed toward a household income under $15,000, The client should investigate how this correlates with other data in order to determine how to adjust operations to address this wage level. What is your age? No The majority of the respondents skewed younger, with the average age being 19-24 years. How much would you expect to pay as a cover charge for live music at Palasad Socialbowl? Yes The data shows that the majority of respondents would pay between $5-10 as a cover charge with the average being $8.69.
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C. For question 3 in the survey “Approximately, how many live music events have you attended in the last year”, looking at the data collected we can see that the numbers range from 1 to 60. Therefore because the data can be categorized, grouping the data would be the best way. I would then create a bar chart to show the data so the client would have a good idea of how many live music events were attended. Included in the data would be the number of individuals that did not provide a response to the question as well. For question 5 in the survey “How much, on average, do you usually pay to see live music at a Bar/Pub/Nightclub/ Tavern?”. For these questions I would again categorize the answers that were provided and create a bar chart so the client could see the range of money on average was paid for cover, the chart would also include the non-response rate since it was very high in this question, only 134 out of 404 respondents answered. The range of answers is very skewed as well since some have indicated $0 while the top range is $160. Grouping the amounts from 0-20, 21-40, 41-60, 61-80, 81-100, 101-120, 121-140,141-160. If we wanted to take a closer look and break it down further, we would be able to cut groups in order to get a better idea of each category and show the client the most common amount average. For question 6 where the “Other” category exists, I would look at the data to determine how many respondents provided an answer. If there were a lot of answers we could then examine if any of them were the same. If they were then grouping them and showing them on a bar graph to the client would be a good way to show the unique answers. However in our survey there were only a few responses and none were the same. I would create a word cloud to show the few answers that were supplied by the respondents. For question 9, “Approximately, how many times have your visited Palasad Socialbowl in the last year”. The same technique of reviewing the data for questions 3 and 5 would be applied. In this case creating bins would be the best way to break down the data and organize it. Again, we could cut the group down further if we wanted to see the numbers broken down further, but a bar graph should do a fair job at producing the data that is required. For question 10 under the “other”, since there were only two recorded responses, the best approach would be to add sentences to the graph that shows what activities respondents participated in. Since both of the respondents supplied the same answer, noting that the other activity noted was “birthday parties”, should provide the client with relevant data. For question 12, “What bands or type of bands would you like to see at Palasad, if any?”. For this questions looking for common answers and then coding the answers would probably be the best way to organize the information. Since there are several answers that are the same or are very similar depending on the writing of the respondents, grouping the answers so the client can see the most popular answers, and then the suggestions that trickle down from there would best serve the client in helping make a determination on what types of bands the crowds attending would like to listen to.
For question 14, providing quotes for the comments would be the best way to convey the information. Since there are several and unique answers summarizing some of the answers and the ones that stand out the most would be helpful to the client. For question 15 creating bins based on the answers then producing a bar chart would be the best way to display the answers. Providing the mean will also help determine what the best point would be to charge. Question 16 which asks to provide comment on paying cover, has very similar answers to question 14. Since some of the answers are exactly the same as 14, providing quotes and summarizing would be the best way to convey the information to the client. Question 17, would be completed in a similar way that the previous other questions were recorded. Since no one provided an answer to the other section in this question no further data would need to be provide to the client. For question 18 since the common answer was “none” it was already coded to reflect this answer. To show the data to the client I would include this in the chart of the answers for what social media sites do you visit multiple times a week. This would allow the client to see how many respondents do not use social media. Question 19, based on the data, if someone had commented in the “other” section with a specific status of employment, this information would be best conveyed in a sentence on the chart that was provided to the client. The information would not be statistically significant but could provide insight perhaps. For question 22 it appears that no one typed in another answer, but if someone one had it would be a combination of a bar chart and sentences to explain what was classified as “other”. For question 23 grouping into bins and then creating a chart would be the best way to convey the information for age. For further analysis it would allow you to use a cut point as well. For question 24 grouping into bing and the creating a chart would be the best way to convey the information for income. Again, creating this would also allow you to use a cut point to complete a univariant analysis. For question 25, putting quotes together would be the best way to collect and distribute the information for the client. Summarizing what was said and then using the quotes that best reflect the problem that is being solved would help the client to determine direction to go with their operations while providing insight into the consumers thoughts of Palasad Socialbowl,
D.)
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E.) When we want to divide a continuous variable into groups, we utilize this manipulation approach to categorize the data. In the instance of this data set, we have age in years categorized into age groups, as well as household income amounts categorized into income levels. This example has household income, which is a variable in the dataset, which refers to the total amount of income in the household. The goal is to categorize this specific variable into different groups that are dependent on the specific sizes like large and small amounts of income in each household. To do so we need to Click on the Transform menu and select Recode into different variables. The variable you wish to categorize should be selected, and then you should click the arrow to transfer it to the middle pane. Give the new variable's name and label (description) on the right pane, then click change. You can specify the categories and add their values using the dialogue box that appears. The next option is to record different variables, and for this we can record the variable “Have you attended any live music events in the past year?” to go from 1= YES, 2 = NO to 0 = YES, 1 = NO. The reasoning behind this is that we want to assign different codes to a categorical variable, which enables us to recode into various variables so that we can utilize the original variable in the future while maintaining the original data's integrity. To do so we want to go to the Transform menu, then to recode into different variables. Selecting the variable that needs to be recorded allows for you to rename and once you click change you will be able to adjust the variables 0 and 1 in the dialogue box and alter the code.  Finally we can compute a completely new variable, for the reason of being interested in changing a variable's average, a ratio between two variables, or the sum of a few specific variables. For this data set, we can alter the variable “How much would you expect to pay as a cover charge for live music at Palasad Socialbowl?” and generalize the amounts into more distinct groups. To do this we can go to the Transform Menu and select compute to group together relative amounts that people are willing to pay for a cover fee.
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