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Table of Contents

- What does it mean to operationalize a hypothesis?
- What is a conceptual hypothesis example?
- What is type of hypothesis?
- What is hypothesis testing and its types?
- What are the four types of hypothesis?
- What are the two types of hypothesis used in a hypothesis test?
- What does the alternative hypothesis represent?
- What sign applies to a null hypothesis?

The **hypothesis** that in an **experiment**, the results of the **experimental** group will differ significantly from those of a control group, and that the difference will be caused by the independent variable (or variables) under investigation.

**Operationalization means** turning abstract concepts into measurable observations. Although some concepts, like height or age, are easily measured, others, like spirituality or anxiety, are not. Through **operationalization**, you can systematically collect data on processes and phenomena that aren’t directly observable.

A **CONCEPTUAL HYPOTHESIS** links at least two **conceptual** variables. Typically, this is stated in some type of cause and effect manner. **EXAMPLE**: Aerobic exercise. will reduce.

A **hypothesis** is an approximate explanation that relates to the set of facts that can be tested by certain further investigations. There are basically two **types**, namely, null **hypothesis** and alternative **hypothesis**.

**Hypothesis testing** is an act in statistics whereby an analyst **tests** an assumption regarding a population parameter. The methodology employed by the analyst depends on the nature of the data used and the reason for the analysis. **Hypothesis testing** is used to assess the plausibility of a **hypothesis** by using sample data.

There are **four types of hypothesis** scientists can use in their experimental designs: null, directional, nondirectional and causal **hypotheses**.

The **two types of hypotheses used in a hypothesis test** are the null **hypothesis** and the alternative **hypothesis**. The alternative **hypothesis** is the complement of the null **hypothesis**.

In statistical **hypothesis** testing, the **alternative hypothesis** is a position that states something is happening, a new theory is preferred instead of an old one (null **hypothesis**).

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