Statistical Questions and Data Analysis

The video tutorial explains the importance of using statistical questions in data collection to ensure a variety of results, which is crucial for making inferences about a population. It differentiates between statistical and non-statistical questions, providing examples and analyzing specific questions to determine their statistical nature. The tutorial also guides on choosing the best statistical question and demonstrates how to rewrite non-statistical questions to make them suitable for data collection.

What is a key characteristic of a statistical question?

• It is specific to one individual.

• It is always a yes/no question.

• It expects a variety of different answers.

• It has only one possible answer.

Why is 'How old are the players on the basketball team?' considered a statistical question?

• Because it is specific to one player.

• Because it is a yes/no question.

• Because it expects a variety of answers.

• Because all players are the same age.

Which of the following is a non-statistical question?

• How tall are you?

• How many days does it snow in March in each state?

• How tall are the students in the class?

• How old are the students in the summer camp?

What makes 'How many days does it typically snow in March in each state?' a statistical question?

• It only applies to one state.

• It expects different answers for each state.

• It expects the same answer for all states.

• It is a yes/no question.

Why is 'What is the age of the youngest student in the summer camp?' not a statistical question?

• It expects a variety of answers.

• It is specific to one individual.

• It is a yes/no question.

• It applies to multiple students.

Which question would provide more varied data: 'How many servings of fruit and vegetables do students consume each day?' or 'Which vegetable do students prefer: asparagus or broccoli?'

• Neither question provides varied data.

• Both questions provide the same amount of data.

• The second question, because it is a yes/no question.

• The first question, because it provides numerical data.

What is a limitation of the question 'Do you watch TikTok videos every day?'

• It only allows for two possible answers.

• It is too specific to one individual.

• It is a statistical question.

• It provides a variety of answers.

How can the question 'Do you watch TikTok videos every day?' be revised to become statistical?

• By asking if students watch videos every day.

• By asking if students prefer TikTok or YouTube.

• By asking how many hours students spend watching TikTok videos each day.

• By asking about a specific individual's habits.

What is the benefit of changing 'Do you watch TikTok videos every day?' to 'How many hours each day do students spend watching TikTok videos?'

• It allows for a variety of numerical answers.

• It provides a single answer.

• It becomes a yes/no question.

• It becomes specific to one student.

Why is it important to have a variety of answers in a statistical question?

• To focus on individual responses.

• To limit the data collected.

• To make inferences about a population.

• To ensure the question is specific.