- Why might Two scientists develop different hypotheses based on the same observations?
- How is a hypothesis different from an observation?
- Why should a hypothesis be based on previous research and observations?
- What 2 factors must a hypothesis have?
- How do you know if there is sufficient evidence in hypothesis testing?
- How do you know if the hypothesis is accepted?
- What conclusion would you draw at the 5 significance level?

## Why might Two scientists develop different hypotheses based on the same observations?

They communicate their results because science depends on the exchange of information. Why might two scientists develop different hypotheses based on the same observations? simply communicate the results of the experiment.

## How is a hypothesis different from an observation?

explain the relationship between observation and hypothesis? observation is what you have gathered, after you look over it you my hypothesis of what you gathered. hypothesis is an explaination of the observation.

## Why should a hypothesis be based on previous research and observations?

Basically, a hypothesis is a prediction. It is an educated guess as to how a scientific experiment will turn out. It is an educated guess because it is based on previous research, training, observation, and a review of the relevant research literature.

## What 2 factors must a hypothesis have?

A scientific hypothesis must meet 2 requirements:

- A scientific hypothesis must be testable, and;
- A scientific hypothesis must be falsifiable.

## How do you know if there is sufficient evidence in hypothesis testing?

The p-value is the probability of observing such a sample mean when the null hypothesis is true. If the probability is too small (less than the level of significance), then we believe we have enough statistical evidence to reject the null hypothesis and support the alternative claim.

## How do you know if the hypothesis is accepted?

Statistical decision for hypothesis testing In Hypothesis testing, if the significance value of the test is greater than the predetermined significance level, then we accept the null hypothesis. If the significance value is less than the predetermined value, then we should reject the null hypothesis.

## What conclusion would you draw at the 5 significance level?

At the 5% significance level we have good (not strong) evidence to reject the null hypothesis since the p- value is less than 5%. That is, we can conclude that more than 5.2% of the nation’s children have congenital abnormalities.