Question
Read and watch the action items in the Week 1, 1.4 Analytics - Descriptive Techniques module . These resources are provided to study and complete
Read and watch the action items in the Week 1, 1.4 Analytics - Descriptive Techniques module. These resources are provided to study and complete this submission.
A consulting agency has a specialty of supporting global government entities in a public-private partnership to plan and implement infrastructure improvement needs. This consulting agency is evaluating customers to prioritize which countries to target. A major cost on their construction project is cement, so they researched supplier prices per pound for each quarter over the past several years (attached is this data in an Excel file, select title from 1.4 Course Content to obtain attachment and see assessment rubric with performance criteria for this submission):
What are the descriptive statistics for cement prices? Must use Excel Data Analysis Toolpak and submit Excel file in this dropbox.
Summarize in your own words what happened to cement prices over this time period. Each of the descriptive statistics calculated with the Excel Data Analysis Toolpak should be included in this explanation.
Create a scatter plot, line graph, or other chart of the cement prices.
One Excel file with this information is due end of Sunday of Week 1. Be sure to review dropbox grading assessment rubric with these instructions to understand further expectations on each of the three performance criteria for this assignment.
Date | Dollars |
April2024 | 110.6 |
January2024 | 108.25 |
October2023 | 107.5 |
July2023 | 104.6 |
April2023 | 100.4 |
106.7 | |
October2022 | 109.45 |
July2022 | 105.9 |
April2022 | 102.2 |
January2022 | 105.25 |
October2021 | 109.5 |
July2021 | 100.1 |
July2020 | 101.84 |
April2020 | 100.3 |
January2020 | 105.75 |
October2019 | 113.09 |
July2019 | 99.12 |
April2019 | 102.5 |
January2019 | 105.76 |
October2018 | 107.62 |
July2018 | 99.26 |
April2018 | 101.76 |
January2018 | 105.76 |
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