A statement about the value of a population parameter. In case of two hypotheses, the statement assumed to be true is called the null hypothesis (notation

**H0**) and the contradictory statement is called the alternate hypothesis (notation**Ha**).1

## What is the difference between ho and ha?

We will then test the alternative hypothesis (

**Ha**) , If the "p" value is less than the level of significance (alpha, ) we reject**Ho**. If the "p" value is greater than or equal to the level of significance then we can not reject**Ho**.2

## What is the difference between the null and alternative hypothesis?

The

**null hypothesis**is that the researcher's prediction is not true. The**alternative hypothesis**is that the researcher's predicted**difference**is true. So, the two sample t-test gives us a way to decide**between a null hypothesis and an alternative hypothesis**.3

## What is a Type 1 error?

**Type**I and

**type**II

**errors**. In statistical hypothesis testing, a

**type I error**is the rejection of a true null hypothesis (also known as a "false positive" finding), while a

**type**II

**error**is failing to reject a false null hypothesis (also known as a "false negative" finding).

4

## What is the definition of Type 2 error?

A

**type II error**is a statistical term used within the context of hypothesis testing that describes the**error**that occurs when one accepts a null hypothesis that is actually false. The**error**rejects the alternative hypothesis, even though it does not occur due to chance.5

## What is the Ho hypothesis?

Null

**Hypothesis**(**Ho**) A null**hypothesis**(H0) is a stated assumption that there is no difference in parameters (mean, variance, DPMO) for two or more populations. According to the null**hypothesis**, any observed difference in samples is due to chance or sampling error.6

## When can we reject the null hypothesis?

Set the significance level, α, the probability of making a Type I error to be small — 0.01, 0.05, or 0.10. Compare the P-value to α. If the P-value is less than (or equal to) α,

**reject the null hypothesis**in favor of the alternative**hypothesis**. If the P-value is greater than α, do not**reject the null hypothesis**.7

## How do you test a hypothesis?

**Example of performing a basic hypothesis test**

- Specify the hypotheses. First, the manager formulates the hypotheses.
- Choose a significance level (also called alpha or α).
- Collect the data.
- Compare the p-value from the test to the significance level.
- Decide whether to reject or fail to reject the null hypothesis.

8

## What is the h0 in statistics?

A

**statistical**test in which the alternative hypothesis specifies that the population. parameter lies entirely above or below the value specified in**H0 is**a one-sided (or one-tailed) test, e.g.9

## What a P value does not tell you?

**A p**-

**value**can

**tell you**that a difference is statistically significant, but it

**tells you**nothing about the size or magnitude of the difference. "

**The p**-

**value**is low, so the alternative hypothesis is true." If

**you**use an alpha level of 0.05, there's a 5% chance

**you**will incorrectly reject the null hypothesis.

10

## What is power Type 2 error?

The

**power**of a test is the probability that the test will reject the null hypothesis when the alternative hypothesis is true. In other words, the probability of not making a**Type II error**.**Type II error**(β): the probability of failing to rejecting the null hypothesis (when the null hypothesis is not true).11

## What does a negative test statistic mean?

In the case of a one-sided alternative, the sign of the t-

**statistic**matters A LOT. A**negative**sign implies that the sample**mean**is less than the hypothesized**mean**. This would be evidence against the null hypothesis IF (and only if) the alternative was that the true**mean**is LESS than the hypothesized value.12

## What does ha stand for in size?

A hectare is a unit of area equal to 10,000 square meters. Usually used to

**measure**land. A square 100 meters on each side has an area of 1 hectare. Symbol:**ha**. 1**ha**= 2.47 Acres approximately.13

## What does h0 stand for in statistics?

Clearly, a test

**statistic**is a random variable. A test is a function mapping values of the test**statistic**into {0,1}, where. • “0” implies that you accept the null**hypothesis H0**⇔ reject the alternative**hypothesis**H1.14

## What is the level of significance of a test?

The null hypothesis is rejected if the p-value is less than a predetermined

**level**, α. α is called the**significance level**, and is the probability of rejecting the null hypothesis given that it is true (a type I error).