Table of Contents

- 1 What is the claim in hypothesis testing?
- 2 What is a claim or hypothesis?
- 3 What are the 6 steps of hypothesis testing?
- 4 What does a 0.05 mean?
- 5 What are 6 parts of hypothesis?
- 6 What does p-value of 0.5 mean?
- 7 What happens if you reject the null hypothesis?
- 8 What does non critical mean in hypothesis testing?

## What is the claim in hypothesis testing?

Hypothesis testing is a procedure, based on sample evidence and probability, used to test claims regarding a characteristic of a population. A hypothesis is a claim or statement about a characteristic of a population of interest to us.

## What is a claim or hypothesis?

A claim is a telling of an event hopefully convincing the hearer of that event. A hypothesis claims that an event happened because of (something).

**What is the process to conduct a test of hypothesis?**

There are 5 main steps in hypothesis testing:

- State your research hypothesis as a null (Ho) and alternate (Ha) hypothesis.
- Collect data in a way designed to test the hypothesis.
- Perform an appropriate statistical test.
- Decide whether the null hypothesis is supported or refuted.

**Why do we conduct hypothesis testing?**

The purpose of hypothesis testing is to determine whether there is enough statistical evidence in favor of a certain belief, or hypothesis, about a parameter. These questions/hypotheses are similar in spirit to the discrimination example studied earlier.

### What are the 6 steps of hypothesis testing?

SIX STEPS FOR HYPOTHESIS TESTING.

### What does a 0.05 mean?

What Is the Significance Level (Alpha)? The significance level, also denoted as alpha or α, is the probability of rejecting the null hypothesis when it is true. For example, a significance level of 0.05 indicates a 5% risk of concluding that a difference exists when there is no actual difference.

**What are the steps of hypothesis?**

- Step 1: Specify the Null Hypothesis.
- Step 2: Specify the Alternative Hypothesis.
- Step 3: Set the Significance Level (a)
- Step 4: Calculate the Test Statistic and Corresponding P-Value.
- Step 5: Drawing a Conclusion.

**What are the six steps of hypothesis testing?**

## What are 6 parts of hypothesis?

## What does p-value of 0.5 mean?

Mathematical probabilities like p-values range from 0 (no chance) to 1 (absolute certainty). So 0.5 means a 50 per cent chance and 0.05 means a 5 per cent chance. In most sciences, results yielding a p-value of . 05 are considered on the borderline of statistical significance.

**What does p-value of 1 mean?**

When the data is perfectly described by the resticted model, the probability to get data that is less well described is 1. For instance, if the sample means in two groups are identical, the p-values of a t-test is 1.

**What is the general idea of hypothesis testing?**

In reviewing hypothesis tests, we start first with the general idea. Then, we keep returning to the basic procedures of hypothesis testing, each time adding a little more detail. The general idea of hypothesis testing involves: Making an initial assumption. Collecting evidence (data).

### What happens if you reject the null hypothesis?

The alternative hypothesis stands. If the test statistic is not in our critical region, then we fail to reject the null hypothesis. This does not prove that the null hypothesis is true, but gives a way to quantify how likely it is to be true. We now state the results of the hypothesis test in such a way that the original claim is addressed.

### What does non critical mean in hypothesis testing?

Non-critical or Non-rejection Region– the range of values for the test value that indicates that the difference was probably due to chance and that the null hypothesis should not be rejected. CH8: Hypothesis Testing Santorico – Page 282

**How is the critical value of a hypothesis determined?**

Critical Value (CV) – separates the critical region from the non-critical region, i.e., when we should reject H 0 from when we should not reject H 0. The location of the critical value depends on the inequality sign of the alternative hypothesis. Depending on the distribution of the test value, you