Answer:
The 98% confidence interval for the mean amount of money spent on lunch per week for all students is between $13.3 and $16.7.
Step-by-step explanation:
A confidence interval has the following format.
In which is the mean of the sample and M is the margin of error.
In this problem, we have that:
The 98% confidence interval for the mean amount of money spent on lunch per week for all students is between $13.3 and $16.7.
Answer:
The answer is the last one choice,letter D
Step-by-step explanation:
<h2>Carry on learning don't forget to brainlist me</h2>
Answer:
Step-by-step explanation:
0 --> -2
1 ---> 4
2 --> 10
3 --> 16
First you need to distribute that invisible -1 to (9-0). You do this because of PEMDAS. -9+0 will be your outcome first. You can disregard the zero and now multiply 10 * -9 * 5 as these have no x variable. Multiplying all of those you get -450 * 3x. Thats the simplified form of this problem. -1350x if you're teachers looking for that.
Answer: In random sampling, the whole population should have an equal chance of being chosen.
Step-by-step explanation:
In a simple random sample, every member of the population has an equal chance of being selected.
Your sampling frame should include the whole population. To conduct this type of sampling, you can use tools like random number generators or other techniques that are based entirely on chance.
Biased sample
A sample is biased if individuals or groups from the population are not represented in the sample.
In statistics, sampling bias is a bias in which a sample is collected in such a way that some members of the intended population have a lower or higher sampling probability than others.
Affects
It affects the internal validity of an analysis by leading to inaccurate estimation of relationships between variables. It also can affect the external validity of an analysis because the results from a biased sample may not generalize to the population.