The Institute of Chartered Accountants ol Pakistan PAKISTAN Which of the following MS Excel formulas will help to compute cube of a number stored in cell A1? SELECT THE MOST APPROPRIATE OPTION = A1 A1 A1 = A1+A1 +A1 O =A1^(1/3) O=A1'3
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- For this simple analysis, the sample set is provided for you. You just need to answer the questions below. To develop a strategy for reducing urban footprints, we need to know where to focus our efforts. Use the sample set of cities in this study (https://www.footprintnetwork.org/2017/02/18/city-footprints-data-action/) to answer the following questions: 1. For cities with the smallest overall footprints, was the transportation footprint usually smaller as well? 2. For cities with the smallest overall footprints, was the food footprint consistently smaller? 3. For cities with the smallest footprints, was the "goods" category (non-food consumption) generally smaller? 4. This question involves a rarely-noticed metric: government. Did the footprint of governments correlate with the overall footprints of these cities? In other words, if the overall footprint was less, was the government footprint correspondingly less? 5. Based on these data, in what category would you propose…Which of the following is an improper use of data collected by a business or organization? A) calculation of a credit score B) control customer precipitation and need C) obtain a competitive advantage D) identification and contact of customersBased on the information in the table, answer the following questions (a – d) and ensureto show your work.a) By using appropriate cell formatting techniques outlined in this module,reproduce the above spreadsheet in Excel. Take a clear screenshot andinsert it into your portfolio as your answer to this question. Ensure you include row and column identifiers in your screenshot, so it is clear thatyou have used Excel to reproduce the table.b) Use Excel or otherwise to find the mean average monthly cost of a SIMonly contract. Please round your answer to the nearest integer.c)i) Use Excel to find the median number of Gigabytes (GB) of data onoffer by the ten mobile networks. Please include the formula youuse.ii) Use Excel to find the mean average of Gigabytes (GB) of data onoffer by the ten mobile networks. Please include the formula you use. iii) Based on your two answers in part i) and ii), which answer wouldgive a better indication of the average number of Gigabytes (GB)of data on offer…
- Read the original whitepaper by Vogels et al. https://www.allthingsdistributed.com/files/amazon-dynamo-sosp2007.pdf What are the goals? What are the system assumptions? What is an SLA? Why are they important? Why design for the 99th percentile instead of the average? Does Dynamo favor Availability or Consistency? How does Dynamo detect membership and recover from lost nodes? What are some lessons learned?Choose a publicly traded security for which you can find a series of historical values Make a conjecture about related data (at least two data series) that might be used as predictors for this series of values Find online data sources to get current data for both the predictors and the values of the security (up to 12/31/20 or more recent, if possible) Download this data and copy it into Excel Create graphs of the data Use Excel to conduct a regression of the values of the security against the predictors and verify the validity of underlying assumptions Eliminate outliers if necessary Check for homoscedasticity and serial correlation Look for evidence of multicollinearity and eliminate redundant predictors if necessary Submit written report & Excel spreadsheet Report can be .doc or .pdf Document regression inputs with text comments Submit to D2L folder Report should: Clearly state the conjecture being investigated Clearly describe the data sources used & data…• Choose a publicly traded security for which you can find a series of historical values • Make a conjecture about related data (at least two data series) that might be used as predictors for this series of values – Find online data sources to get current data for both the predictors and the values of the security (up to 12/31/20 or more recent, if possible)– Download this data and copy it into Excel– Create graphs of the data– Use Excel to conduct a regression of the values of the security against the predictors and verify the validity of underlying assumptions – Eliminate outliers if necessary– Check for homoscedasticity and serial correlation – Look for evidence of multicollinearity and eliminate redundant predictors if necessary – Submit written report & Excel spreadsheet – Report can be .doc or .pdf– Document regression inputs with text commentsTo do – Submit to D2L folder– Report should: – Clearly state the conjecture being…
- Choose a publicly traded security for which you can find a series of historical values Make a conjecture about related data (at least two data series) that might be used as predictors for this series of values Find online data sources to get current data for both the predictors and the values of the security (up to 12/31/20 or more recent, if possible) Download this data and copy it into Excel Create graphs of the data Use Excel to conduct a regression of the values of the security against the predictors and verify the validity of underlying assumptions Eliminate outliers if necessary Check for homoscedasticity and serial correlation Look for evidence of multicollinearity and eliminate redundant predictors if necessaryWe will be able to find IoT examples in all parts of our lives. Use the reading assignments and online search to identify a concrete example of an IoT system (existing or futuristic) in each of the following application areas: 1. Home 2. Healthcare 3. Transportation 4. and community (i.e., four examples in total). For each example, provide a description of 1. what the problem is that the IoT solves? 2. how it solves it? 3. who the users are? 4. and what is the risk of the example is (e.g., in terms of ethical concerns, privacy, safety, etc.)? Answer only if you are sure of the questions ask, tqWe will be able to find IoT examples in all parts of our lives. Use the reading assignments and online search to identify a concrete example of an IoT system (existing or futuristic) in each of the following application areas: 1. Home 2. Healthcare 3. Transportation 4. and community (i.e., four examples in total). For each example, provide a description of 1. what the problem is that the IoT solves? 2. how it solves it? 3. who the users are? 4. and what is the risk of the example is (e.g., in terms of ethical concerns, privacy, safety, etc.)?
- If your future boss asks you to combine Power BI and Google Analytics together for use on an IT project, you would say: Question 48 options: a) Google Analytics was created by Google Inc, while Power BI was created by Microsoft Inc, and there have inherent incompatibilities which would make such an implementation difficult b) Power BI would be excellent at importing and displaying data collected from Google Analytics, but not necessarily the reverse. c) Power BI would best be avoided at all costs since it only works on PC products, while Google Analytics is compatible with all sorts of hardware and software. d) Google Analytics would be best linking with XL spreadsheets of business sales data, and not to the cloud services available thru Power BIFrom this Excel spreadsheet, what information can be used to create a chart? a) Can this information be used to make a pivot chart? b) Provive an example of a chart made from this information.. Choose a publicly traded security for which you can find a series of historical values. Make a conjecture about related data (at least two data series), that might be used as predictors for this series of values. Find online data sources to get current data for both the predictors and the values of the security (up to 12/31/20 or more recent, if possible) Download this data and copy it into Excel, Create graphs of the data . Use Excel to conduct a regression of the values of the security against the predictors and verify the validity of underlying assumptions eliminate outliers if necessary, check for homoscedasticity and serial correlation, look for evidence of multicollinearity and eliminate redundant predictors if necessary . Submit written report & Excel spreadsheet, Report can be .doc or .pdf. Document regression inputs with text comments, Report should clearly state the conjecture being investigated, clearly describe the data sources used & data handling, include links…