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Topic:

E-commerce Security Threats Impact on the Adoption of the Digital Solution

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The purpose of this assignment is to choose one market disruption problem from Topic 1, then develop three different hypotheses, and identify the associated independent and dependent variables that are measurable, testable, and meaningful. Consider all potential issues from the Topic 1 assignment and choose a single problem to potentially solve. Be sure to select a problem that is not yet solved. Remember, a hypothesis is just an "I think" statement that needs to be fully developed with potential solutions and variables. Ultimately, much time and money could be spent on this issue, so it is imperative to spend time upfront with this brainstorming process around various hypotheses.
Use the "Hypothesis Statements - Overview and Template" resource to complete this assignment. You will need to complete Parts 1 and 2 in the template. Complete the hypotheses grid using good, better, and best versions of the three hypotheses related to the single problem you have identified and the solution you have proposed for the problem. Include the dependent and independent variables for each. You will also compose a short summary in Part 2 within the template. Note: This assignment will impact future assignments throughout the course, including the Topic 5 individual assignment, the Draft Summary Business Model Canvas.

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Hypothesis Statements – Overview and Template
This document contains definitions, examples, and a template to complete for your assignment.
Hypothesis Statements Overview
A hypothesis is a prediction about the relationship between two variables. Hypotheses statements often start as an educated guess about how one variable affects a second variable. A hypothesis statement must be testable (i.e., you can verify or falsify with observable evidence).
Most hypothesis are written in the form of an If/Then statements. Examples of If/Then statements are:
* If you drink coffee before going to bed, then it will take longer to fall asleep.
* If you get at least 8 hours of sleep, you will do better on tests than if you get less sleep.
* If you reduce your consumption of sugar, you will lose weight.
A good hypothesis contains the three elements listed below:
1 The dependent variable(s): Who or what you can vary or control.
2 The independent variable(s): Who or what you predict will affect the dependent variable.
3 What you predict the effect will be.
A good hypothesis statement is written as, IF (the Dependent Variable) THEN (Independent Variable) is affected in a specific way.
Assumptions Versus Hypothesis
There are general differences between an assumption and a hypothesis.
* Assumptions are vague, optimistic, and untestable. Vague = harder to prove or disprove.
* Hypotheses must be specific to be tested. You can design experiments to generate data that support or reject your hypothesis.
Here are some examples of assumptions vs. hypotheses:
Assumption

Hypothesis

Independent Variable (IV)

Dependent Variable (DV)

If you drink coffee before going to bed, then it will take longer to fall asleep.

Consumption of 500 mg of coffee within 1 hour of bedtime will delay time to fall asleep by over 30 minutes.

Caffeine consumption

Time to fall asleep

If you get at least 8 hours of sleep, you will do better on tests than if you get less sleep.

Students who sleep at least 8 hours of the night before will improve test scores by 10%.

Number of hours of sleep

Test score improvement

If you reduce your consumption of sugar, you will lose weight.

Patients who reduce sugar consumption to below 25 grams daily for 90 days will experience 2% weight loss.

Sugar consumption over the next 90 days

Weight loss

Hypothesis Best Practices
Review the examples provided below for tips on writing a strong hypothesis.
Symptom

Fix

Are there vague words like “some people” or “customer”?

Be specific. Create a well-defined persona defining the specific demographic group you are targeting.

Can it be measured specifically, or does it contain vague concepts that cannot be tested?

Create a measurable hypothesis. Eliminate hedging words like “maybe,” “better,” “some,” and convert to If/Then statement.

Is it actually risky?

If it is not truly risky, it is not relevant and does not need to be tested right now. (It may get riskier later and resurface.)

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