23 Jun The purpose of this assignment is to create a design challenge that highlights various problem-solving techniques. This assignment will build on the concepts in your Topic 2 ‘Hypothe
Assessment Description
The purpose of this assignment is to create a design challenge that highlights various problem-solving techniques. This assignment will build on the concepts in your Topic 2 "Hypothesis Statements – Overview and Template" assignment.
To complete this assignment, create a PowerPoint presentation that is 10-12 slides (including title and reference slides). Include a minimum of two scholarly sources in your presentation. Address the following:
- What problem are you trying to solve based on your problem statement and hypothesis from Topic 2?
- Who is most affected by the problem (i.e., your target customer) and where/when does the problem affect the customer?
- Identify the key demographic factors of your target customer.
- Consider what new technologies are being developed and are emerging through the hype cycle. Imagine three of the emerging technologies within the next 2-5 years that might enable a solution to your problem. Conduct research on companies or groups that are working on these emerging technologies. Discuss how human-centered design and technological advances could offer possible solutions to the problem you are trying to solve.
- What are some of the initial constraints that may limit or hamper the introduction of your new technology? For example, does the target customer segment have money to pay for it? Is a particular resource too expensive? Does the target need to be educated about how to use the product?
- What are some possible variants to the design challenge? For example, are there substitute resources, different adjustments to the value property, or other modifications to the business model that could make it viable?
- Describe the value your solution has created for customers.
Refer to the resource, "Creating Effective PowerPoint Presentations," located in the Student Success Center, for additional guidance on completing this assignment in the appropriate style.
While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.
This assign
- Please do not copy a word paper into PowerPoint or add extensive note. Notes are not required and if used should not exceed 3-4 sentences.
- Additional slides are acceptable. Please use PowerPoint elements, pictures, graphs, charts and summarize your points.
- Please find this supplemental video on HCD-https://youtu.be/0bxtEqM2TQU
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Hypothesis Statements
Hypothesis Template
Problem statement: Introducing electric vehicles (EVs) disrupts the traditional automotive market.
|
Good Hypothesis |
Better Version |
Best Version |
Independent Variable |
Dependent Variable |
|
|
1. |
Introducing EVs benefits the environment. |
The increase in EVs will reduce carbon dioxide emissions. |
A 30% rise in EV usage will lead to a 20% decrease in CO2 emissions in city X over the next five years. |
Percentage increase in EV usage. |
Reduction in CO2 emissions. |
|
2. |
EVs can change the dynamics of the automotive market. |
More EVs will reduce the demand for traditional cars. |
A 20% increase in EV market share will result in a 10% decrease in City X’s gasoline sales in the next three years. |
Increase in EV market share. |
Decrease in traditional car sales. |
|
3. |
EVs can impact the oil industry. |
The rise in EVs will lead to reduced oil consumption. |
A 25% increase in EV adoption will result in a 15% decrease in oil consumption in City X in the next decade. |
Increase in EV adoption. |
Decrease in oil consumption. |
Summary Hypothesis Statement
My final hypothesis statement from the three versions posits that a 25% increase in electric vehicle (EV) adoption will lead to a 15% decrease in oil consumption in city X in the next decade. The hypothesis addresses the market disruption problem caused by the introduction of EVs and their potential impact on traditional industries like oil. In this hypothesis, the independent variable is the increase in EV adoption. This variable represents the factor we would manipulate or change to observe the effects on the dependent variable. The dependent variable, on the other hand, is the decrease in oil consumption. These variables measure the outcome or result we are interested in, which the independent variable influences.
The independent and dependent variables must be quantified to make this hypothesis measurable (Cox et al., 2020). A change in the market share of EVs during the following ten years in City X can be used to gauge the growth in EV adoption. Industry sales data and registration records can be used to determine this. The reduction in oil use can be measured by looking at data on oil use in city X during the same time. To test this theory, we can gather past information on EV adoption and oil use in city X. The correlations and patterns between these variables can then be examined. We can determine whether a 25% rise in EV adoption is consistent with a 15% drop in oil use by comparing the statistics with the hypothesis. Regression analysis is one statistical tool that may be used to analyze the relationship and assess its importance (Marcoulides & Raykov, 2019). The hypothesis' replicability requirement is satisfied since it can be updated or altered if false or new information becomes available. This enables adaptability and flexibility in response to new information or findings.
References
Cox, C. R., Moscardini, E. H., Cohen, A. S., & Tucker, R. P. (2020). Machine learning for sociology: A practical review of exploratory and hypothesis-driven approaches. Clinical Psychology Review, 82, 101940. https://doi.org/10.1016/j.cpr.2020.101940
Marcoulides, K. M., & Raykov, T. (2019). Evaluation of variance inflation factors in Regression Models Using Latent Variable Modeling Methods. Educational and Psychological Measurement, 79(5), 874–882. https://doi.org/10.1177/0013164418817803
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