Answer:
1. Not Independent
2. Independent
3. Not Independent
4. Independent
Step-by-step explanation:
Independent: An event is independent if the outcome of one event doesn't effect the outcome of the other event.
Not independent : An event is Not independent if the outcome of one event effect the outcome of other event.
1. A jar contains twenty coins. Two coins are picked randomly without replacement.
Not Independent because if coins are not replaced the outcome of next event will be effected.
2. A coin is flipped three times.
Independent because when a coin is flipped once its outcome doesn't effect the outcome of the coin flipped again
3. A bag contains 5 red balls and 3 green balls. A red ball is chosen followed by a green ball without replacement.
Not Independent because if balls are not replaced the outcome of next event will be effected.
4. A spinner contains 3 equal sectors labeled A, B and C. The spinner is spun twice.
Independent because when the spinner is spuned once its outcome doesn't effect the outcome of the spinner spun again
Answer:
For x∈ {-∞,-3} y<0, below x-axis
x∈ {-3,-1} y>0, above x-axis
x∈ {-1,4} y<0, below x-axis
x∈ {4,∞} y>0, above x-axis
Step-by-step explanation:
f(x)=
=0



For x∈ {-∞,-3} y<0, below x-axis
x∈ {-3,-1} y>0, above x-axis
x∈ {-1,4} y<0, below x-axis
x∈ {4,∞} y>0, above x-axis
Answer:
It is the second graph, the one with two filled in dots, but no line.
Step-by-step explanation:
The reason it is not the first one is because it has not filled in dots, AND no line, so it's basically saying there is no answer, which is not true.
The reason the third one (the one with a line) is wrong is because, for example, x cannot be 1, because 1 ≠ 2, and if there is a line, it should be true.
Answer: 9% parameter, 3% statistic
Step-by-step explanation: Parameter and statistic are are statistical terms used to describe a group or observation.
However, the distinction between a parameter and a statistic is in the measured observation.
Parameter is used to describe an entire population while statistic is used to describe a sample.
Where a population refers to the entire number of people or inhabitant of a particular country while a sample refers to a subset of observation drawn randomly from a population which serves a representative of the entire population.
In the question above, 9% is used to make a description of the whole American population who are at least 75 years of age. While,
3% is used to describe a subset of the American population (sample) who are 75 years or older.