What is the difference between inference and observation?

• Inference is the same as observation.

• Inference is based on personal opinions, while observation is based on facts.

• Observation is a type of inference.

• Inference is drawing conclusions based on evidence or reasoning, while observation is gathering information through the senses or instruments.

What is the definition of making inferences?

• Drawing conclusions based on available information or evidence.

• Drawing conclusions based on personal opinions rather than evidence or information.

• Ignoring available information and making random conclusions.

• Guessing without any evidence or information.

When drawing a conclusion, what are you doing?

• Guessing randomly

• Ignoring facts and evidence

• Analyzing data and evidence

• Making a judgment or forming an opinion

What is the main purpose of making inferences and drawing conclusions?

Why is it important to differentiate between inference and observation?

• To save time and effort in analyzing data.

• To make information more valid and trustworthy.

• To understand the reliability and validity of the information we have.

• To confuse people and make information less reliable.

What are some common indicators that can help in making inferences?

• conclusions, assumptions, guesses

• randomness, luck, chance

• emotions, personal opinions, biases

• patterns, correlations, trends, data analysis, observations, logical reasoning

What are some common indicators that can help in drawing conclusions?

• emotions, personal beliefs, biases

• opinions, guesses, assumptions

• random selection, intuition, luck

• patterns, trends, correlations, evidence, data, observations, and logical reasoning

Implicit bias is when you have a bias towards or against something without realizing you do.

• True

• False

Confirmation Bias is when you only acknowledge facts or ideas that support what you already believe.

• True

• False

When most people hear the word "Kindergarten Teacher" they think of a female. This is an example of what kind of bias?

• Implicit Bias

• Confirmation Bias