Hypothesis Statements Overview And Template

Hypothesis Statements Overview And Templatethis Document Contains De

This document contains definitions, examples, and a template to complete for your assignment. 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.) Has a second set of eyes looked at it? Everyone has blind spots. Check your work with another entrepreneur and ask the person to tighten up the hypothesis to make sure it is specific, measurable, and realistic. Part 1 – Write a Hypothesis Template Instructions: Select one problem statement and create three versions of hypotheses statements for this problem. Document the problem statement above the chart and complete each row and column as directed in the assignment. Then, write a 250-word summary based on the prompt at the bottom of this document. Problem statement: ______________________________________________________________________ Good Hypothesis Better Version Best Version Independent Variable Dependent Variable Example: The addition of fresh water wells within Rio de Janeiro will help. Example: The addition of fresh water wells within Rio de Janeiro will increase citizens' health. Example: The addition of seven fresh water wells in the town of Rozinho, (near Rio de Janeiro) will decrease doctor visits by 20%. Example: Fresh water wells. Example: Amount of doctor visits. 1. 2. 3. Part 2 – Write a Summary of Your Hypothesis Statement Write a 250-word description of your final hypothesis statement. Describe the independent and dependent variables, and describe how you would objectively define a measurable, testable, replaceable, and meaningful hypothesis. How is your hypothesis measurable? How will you test it? © 2023. Grand Canyon University. All Rights Reserved.

Paper For Above instruction

The core objective of this assignment is to develop a clear and testable hypothesis based on a defined problem statement. A hypothesis serves as a predictive statement that identifies the expected relationship between an independent variable (IV) and a dependent variable (DV). It must be specific, measurable, and testable, facilitating empirical investigation. To effectively formulate hypotheses, it is essential to understand the distinction between assumptions and hypotheses. Assumptions are often vague and untestable, whereas hypotheses are precise and verifiable through experimentation. This process involves creating multiple hypotheses, refining their language, ensuring they eliminate vague terms, and focusing on measurable outcomes.

Consider the example of adding freshwater wells in Rio de Janeiro. The initial hypothesis might state that introducing these wells will help the community. A better hypothesis refines this to predict an increase in health outcomes. The most precise version quantifies the effect—such as decreasing doctor visits by 20%. This progression demonstrates the importance of specificity and measurability.

In constructing hypotheses, the key elements include clearly defining the independent variable (e.g., number of water wells) and the dependent variable (e.g., health outcomes or doctor visits). To make a hypothesis measurable, one must establish exactly what will be observed or quantified—such as the percentage decrease in doctor visits or improvement in health indices. Testing involves designing experiments or observational studies that manipulate the IV and observe changes in the DV, ensuring objectivity and repeatability.

The process further emphasizes eliminating vague language, targeting specific demographics, and assessing the relevance and risk associated with the hypothesis. Peer review or consultation with others can help tighten hypotheses, making them realistic and free from ambiguity. A well-constructed hypothesis will guide empirical testing, support data collection, and ultimately contribute to evidence-based conclusions. This systematic approach ensures the hypothesis is not only scientifically rigorous but also practically applicable, advancing understanding within the chosen context.

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