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University of Phoenix Parking Lot Occupancy Planning Discussion
Assignment ContentPurpose This assignment illustrates how data analytics can be used to create strategies for sustainab ...
University of Phoenix Parking Lot Occupancy Planning Discussion
Assignment ContentPurpose This assignment illustrates how data analytics can be used to create strategies for sustainable organizational success while integrating the organization’s mission with societal values. You’ll apply statistical time series modeling techniques to identify patterns and develop time-dependent demand models. You’ll practice organizing and delivering a presentation to senior decision-makers. The PowerPoint presentation includes an audio component in addition to speaker notes. Resources: Microsoft Excel®, DAT565_v3_Wk6_Data_File Scenario: A city’s administration isn’t driven by the goal of maximizing revenues or profits but instead looks at improving the quality of life of its residents. Many American cities are confronted with high traffic and congestion. Finding parking spaces, whether in the street or a parking lot, can be time consuming and contribute to congestion. Some cities have rolled out data-driven parking space management to reduce congestion and make traffic more fluid. You’re a data analyst working for a mid-size city that has anticipated significant increments in population and car traffic. The city is evaluating whether it makes sense to invest in infrastructure to count and report the number of parking spaces available at the different parking lots downtown. This data would be collected and processed in real-time, feeding an app that motorists can access to find parking space availability in different parking lots throughout the city. Instructions: Work with the provided Excel database. This database has the following columns:LotCode: A unique code that identifies the parking lotLotCapacity: A number with the respective parking lot capacityLotOccupancy: A number with the current number of cars in the parking lotTimeStamp: A day/time combination indicating the moment when occupancy was measuredDay: The day of the week corresponding to the TimeStampInsert a new column, OccupancyRate, recording occupancy rate as a percentage with one decimal. For instance, if the current LotOccupancy is 61 and LotCapacity is 577, then the OccupancyRate would be reported as 10.6 (or 10.6%).Using the OccupancyRate and Day columns, construct box plots for each day of the week. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Is the median occupancy rate approximately the same throughout the week? If not, which days have lower median occupancy rates? Which days have higher median occupancy rates? Is this what you expected?Using the OccupancyRate and LotCode columns,construct box plots for each parking lot. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Do all parking lots experience approximately equal occupancy rates?Are some parking lots more frequented than others? Is this what you expected?Select any 2 parking lots. For each one, prepare as catter plot showing occupancy rate against TimeStamp for the week 11/20/2016 –11/26/2016. Are occupancy rates time dependent? If so, which times seem to experience highest occupancy rates? Is this what you expected?Presentation: Create 2 powerpoint slides with speaker notes . Your audience is the City Council members who are responsible for deciding whether the city invests in resources to set in motion the smart parking space app. Complete the following: Utilize box plots showing the occupancy rates for each parking lot. Include your interpretation of results.
The Cookie Factory wants to sell chocolate chip and peanut butter cookies in
The Cookie Factory wants to sell chocolate chip and peanut butter cookies in combination packages of 6-12 cookies. At le ...
The Cookie Factory wants to sell chocolate chip and peanut butter cookies in
The Cookie Factory wants to sell chocolate chip and peanut butter cookies in combination packages of 6-12 cookies. At least three of each type of cookie should be in each package. The cost of making a chocolate chip cookie is 19 cents, and the selling price is 44 cents each. The cost of making a peanut butter cookie is 13 cents, and the selling price is 39 cents. How many of each type of cookie should be in each package to maximize the profit?
Testing for Correlation and Bivariate Regression
To prepare for this Assignment:Review this week’s Learning Resources and media program related to regression and correla ...
Testing for Correlation and Bivariate Regression
To prepare for this Assignment:Review this week’s Learning Resources and media program related to regression and correlation.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.Based on the dataset you chose, construct a research question that can be answered with a Pearson correlation and bivariate regression.Once you perform your correlation and bivariate regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Assignment:Write a 2- to 3-paragraph analysis of your correlation and bivariate regression results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.
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Most Popular Content
University of Phoenix Parking Lot Occupancy Planning Discussion
Assignment ContentPurpose This assignment illustrates how data analytics can be used to create strategies for sustainab ...
University of Phoenix Parking Lot Occupancy Planning Discussion
Assignment ContentPurpose This assignment illustrates how data analytics can be used to create strategies for sustainable organizational success while integrating the organization’s mission with societal values. You’ll apply statistical time series modeling techniques to identify patterns and develop time-dependent demand models. You’ll practice organizing and delivering a presentation to senior decision-makers. The PowerPoint presentation includes an audio component in addition to speaker notes. Resources: Microsoft Excel®, DAT565_v3_Wk6_Data_File Scenario: A city’s administration isn’t driven by the goal of maximizing revenues or profits but instead looks at improving the quality of life of its residents. Many American cities are confronted with high traffic and congestion. Finding parking spaces, whether in the street or a parking lot, can be time consuming and contribute to congestion. Some cities have rolled out data-driven parking space management to reduce congestion and make traffic more fluid. You’re a data analyst working for a mid-size city that has anticipated significant increments in population and car traffic. The city is evaluating whether it makes sense to invest in infrastructure to count and report the number of parking spaces available at the different parking lots downtown. This data would be collected and processed in real-time, feeding an app that motorists can access to find parking space availability in different parking lots throughout the city. Instructions: Work with the provided Excel database. This database has the following columns:LotCode: A unique code that identifies the parking lotLotCapacity: A number with the respective parking lot capacityLotOccupancy: A number with the current number of cars in the parking lotTimeStamp: A day/time combination indicating the moment when occupancy was measuredDay: The day of the week corresponding to the TimeStampInsert a new column, OccupancyRate, recording occupancy rate as a percentage with one decimal. For instance, if the current LotOccupancy is 61 and LotCapacity is 577, then the OccupancyRate would be reported as 10.6 (or 10.6%).Using the OccupancyRate and Day columns, construct box plots for each day of the week. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Is the median occupancy rate approximately the same throughout the week? If not, which days have lower median occupancy rates? Which days have higher median occupancy rates? Is this what you expected?Using the OccupancyRate and LotCode columns,construct box plots for each parking lot. You can use Insert > Insert Statistic Chart >Box and Whisker for this purpose. Do all parking lots experience approximately equal occupancy rates?Are some parking lots more frequented than others? Is this what you expected?Select any 2 parking lots. For each one, prepare as catter plot showing occupancy rate against TimeStamp for the week 11/20/2016 –11/26/2016. Are occupancy rates time dependent? If so, which times seem to experience highest occupancy rates? Is this what you expected?Presentation: Create 2 powerpoint slides with speaker notes . Your audience is the City Council members who are responsible for deciding whether the city invests in resources to set in motion the smart parking space app. Complete the following: Utilize box plots showing the occupancy rates for each parking lot. Include your interpretation of results.
The Cookie Factory wants to sell chocolate chip and peanut butter cookies in
The Cookie Factory wants to sell chocolate chip and peanut butter cookies in combination packages of 6-12 cookies. At le ...
The Cookie Factory wants to sell chocolate chip and peanut butter cookies in
The Cookie Factory wants to sell chocolate chip and peanut butter cookies in combination packages of 6-12 cookies. At least three of each type of cookie should be in each package. The cost of making a chocolate chip cookie is 19 cents, and the selling price is 44 cents each. The cost of making a peanut butter cookie is 13 cents, and the selling price is 39 cents. How many of each type of cookie should be in each package to maximize the profit?
Testing for Correlation and Bivariate Regression
To prepare for this Assignment:Review this week’s Learning Resources and media program related to regression and correla ...
Testing for Correlation and Bivariate Regression
To prepare for this Assignment:Review this week’s Learning Resources and media program related to regression and correlation.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.Based on the dataset you chose, construct a research question that can be answered with a Pearson correlation and bivariate regression.Once you perform your correlation and bivariate regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Assignment:Write a 2- to 3-paragraph analysis of your correlation and bivariate regression results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.
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