g1 Flashcards
Define “Sampling Variability.
.The differences between samples drawn from the same population.
What is a “True Parameter” in statistics
A numerical summary that represents the entire population.
- Explain what “Statistics” refer to in statistical terms
Numerical summaries calculated from a sample to estimate population parameters.
What is the primary benefit of a representative sample?
I
It ensures that the sample statistics match the population parameters.
What is a “Sampling Distribution”?
The distribution of sample means from multiple random samples.
True or False: The Central Limit Theorem guarantees that the sampling distribution will
always be normally distributed, even for small sample sizes.
f
True or False: The standard error of the mean increases as the sample size increases
f
True or False: Sampling variability arises from differences in the measurements taken
within a single sample.
f
True or False: The Central Limit Theorem applies only to populations with a normal
distribution.
f
True or False: A larger sample size will result in a narrower sampling distribution of the
mean.
t
Which of the following best describes “Between Sample Variability”?
) Differences between samples drawn from the same population.
What is the standard error of the mean (SE) formula?
SE = σ / n
the Central Limit Theorem applies, what can you expect about the shape of the
sampling distribution of the sample means?
It will always be normal
- What does the term “Statistical Inference” refer to?
b) Drawing conclusions about a population based on data from a sample.
n statistical terms, what does “Central Limit Theorem” (CLT) imply
The sampling distribution will be normal, regardless of the population distribution.
What is the term used to describe the average of a group of continuous numerical values?
Mean
. What is the term used to describe the most frequent value in a set of data?
mode
This type of categorical variable is to simply count for a category divided by the total number
of subjects
proportions