Math 3 Chapter 6

Front

What is the mean of a sampling distribution?

Back

The mean of a sampling distribution is the average of all possible sample means, which estimates the population mean.

Front

How do you estimate the mean from a simulation of coin flips?

Back

By calculating the proportion of 'Tails' obtained from the simulation and averaging it over multiple trials.

Front

What is the importance of random sampling?

Back

Random sampling is important because it helps to decrease bias, ensuring that the sample represents the population accurately.

Front

What does a statistic describe?

Back

A statistic is a number that describes a sample, providing insights about the population from which the sample is drawn.

Front

Why is a larger sample size beneficial?

Back

A larger sample size reduces the margin of error, leading to more reliable and accurate results.

Front

What is the margin of error?

Back

The margin of error is a measure of the uncertainty in the results of a survey or experiment, indicating how much the results could vary.

Front

What is a sampling distribution?

Back

A sampling distribution is the probability distribution of a statistic (like the mean) obtained from a large number of samples drawn from a specific population.

Front

How can you visually represent a sampling distribution?

Back

A sampling distribution can be represented using a histogram or a normal curve, showing the frequency of different sample means.

Front

What is bias in sampling?

Back

Bias in sampling occurs when certain members of the population are systematically favored over others, leading to inaccurate results.

Front

What is the difference between a population and a sample?

Back

A population includes all members of a specified group, while a sample is a subset of the population used for analysis.