Chapter 5 Review

Define the Central Limit Theorem

• As the number of samples increases, the shape of the distribution becomes more narrow

• As the number of samples decreases, the shape of the distribution becomes more narrow

• As the number of samples increases, the shape of the distribution becomes wider

• As the number of samples decreases, the shape of the distribution becomes wider

Define the law of Large Numbers

• As the number of samples
  increases, the proportion of
  successes gets closer to the true
  proportion.

• As the number of samples
  decreases, the proportion of
  successes gets closer to the true
  proportion.

• As the number of samples
  increases, the proportion of
  successes gets farther to the true
  proportion.

• As the number of samples
  decreases, the proportion of
  successes gets farther to the true
  proportion.

The probability of a teenager eating breakfast is 0.61, If 100 teenagers were randomly surveyed on if they eat breakfast will exactly 61 of them have eaten breakfast that day.

• False

• True

Tags

CCSS.7.SP.C.6

What does the dot at 15 Represent

• One runner who ran 15 km

• A member at the running club that ran 15 km

• The amount of people at the Running club

• A runner who runs 15km a day

Tags

CCSS.2.MD.D.9

What is the probability that members of the Running Club will run more than 18

• 0%

• 25%

• 17%

• 7%

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Define Probability Model

• A model that has probability.

• A probability model
  is a description of
  some chance process
  that consists of a signle
  parts: a list of all
  possible outcomes.
  

• A probability model
  is a description of
  some chance process
  that consists of five
  parts.

• A probability model
  is a description of
  some chance process
  that consists of two
  parts: a list of all
  possible outcomes
  and the probability
  for each outcome.

Tags

CCSS.7.SP.C.7A

Define Sample Space

• Any collection of
  outcomes from
  some chance
  process.

• A probability model
  is a description of
  some chance process
  that consists of two
  parts: a list of all
  possible outcomes
  and the probability
  for each outcome.

• The list of all
  possible outcomes
  in a given
  probability model.

• The symbols P(A)
  represent the
  “probability of event
  A occurring”

Define Event

• The symbols P(A)
  represent the
  “probability of event
  A occurring”

• Any collection of
  outcomes from
  some chance
  process.

• The list of all
  possible outcomes
  in a given
  probability model.

• A probability model
  is a description of
  some chance process
  that consists of two
  parts: a list of all
  possible outcomes
  and the probability
  for each outcome.

Define Probability Symbol

• The list of all
  possible outcomes
  in a given
  probability model.

• Any collection of
  outcomes from
  some chance
  process.

• All of the above

• The symbols P(A)
  represent the
  “probability of event
  A occurring

Tags

CCSS.7.SP.C.5

What are the 2 properties of a valid probability Model

• All probabilities need to be between 1 and 0

• Probabilities can be between any numbers

• The sum of the probabilities in a model needs to = 1

• The sum of the probabilities in a model needs to be greater than 1

Tags

CCSS.7.SP.C.7A