Answer: D. A single number calculated from the sample that estimates a target population parameter is called a point estimator.
An interval estimator is a range of numbers that contain the target parameter with a high degree of confidence.
Step-by-step explanation:
When we evaluate an range of values for an unknown population parameter, then it is known as interval estimation .
A single number evaluated from the SAMPLE that estimates an unknown population parameter is known as a point estimator.
The general difference between point and interval estimator is the point estimator is a single value of target parameter while interval estimator is a range of numbers to estimate the values about the unknown population.
Answer:
7
Step-by-step explanation:
Answer:
21
Step-by-step explanation:
Answer:
The table shows the number of games a team won and lost last season is explained below in details.
Step-by-step explanation:
"Greg is creating a simulation, using previous year’s wins and losses, to foretell the team's conclusion.
He has six tickets for the team’s matches. The device which is most suitable for application in a simulation that implements the data is Probability.
Probability is the ratio of the probability that an incident will take place. The more eminent is the probability of an incident, there are likewise outcomes that the game will happen.
Answer:
339.5
Step-by-step explanation:
-67.9x+679= y
-67.9*5+679=
-339.5+679= 339.5