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
is the proportion times 100
%
The total number of subjects with a particular category or level is
counts
This is the common response on How to Find it in the Numerical Summary
mode
This is the lowest value in Numerical summary
minimum
This is the highest value in Numerical summary
maximum
Numerical summaries that describes the population
parameters
- Numerical summaries that describes the samplr
parameter
Range is the square root of the variance.
f
- Median measures the Center of the Middle value of the responses.
t
First quartile are the Middle value of the last half of the responses
False
Third quartile are the Middle value of the First half of the response
False
- Interquartile range is third quartile minus First quartil
True
These measurements represent a limited set of possible values, such as the child being defined as obese or
non-obese. B.
Categorical
Are variables whose potential measurements for each subject are limited to a certain set of values.
C.Categorical Variables
These measurements represent an unlimited set of possible values, such as the child’s BMI measured in
kg/m2. E
.Continuous
- Are categorical variables with different levels or categories whose order matters.
A.Ordinal Variable
Are categorical variables with different levels or categories whose order does not matter.
D.Nominal
Variables
The distribution of a variable consists of a summary of the possible values the variable can have and the
number of subjects with each of these values.
Graphical summaries
Models a single trial with two outcomes (success and failure) and has one parameter representing the
probability of success.
Bernoulli and Binomial Distribution
A statistical concept used to describe the relative position of a particular data point within a dataset.
Percentiles
Are discrete variables that represent the number of times an event or outcome occurs within a specified
period, area, or set of conditions.
Count variable
It is an uncountable variable.
Categorical variables
Categorical variables can be shown as a table or graph
t
Continuous Variables are a very special kind of categorical variable that can have only two levels.
f
3.Dichotomous Variables can only have only numerical values
f
4.Nominal Variables are categorical variables with different levels or categories whose order does not matte
TRUE
5.Categorial Variable are categorical variables with different levels or categories whose order matters
FALSE
