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Question 1

Define “Sampling Variability.

Answer 1

.The differences between samples drawn from the same population.

Question 2

What is a “True Parameter” in statistics

Answer 2

A numerical summary that represents the entire population.

Question 3

3. Explain what “Statistics” refer to in statistical terms

Answer 3

Numerical summaries calculated from a sample to estimate population parameters.

Question 4

What is the primary benefit of a representative sample?
I

Answer 4

It ensures that the sample statistics match the population parameters.

Question 5

What is a “Sampling Distribution”?

Answer 5

The distribution of sample means from multiple random samples.

Question 6

True or False: The Central Limit Theorem guarantees that the sampling distribution will
always be normally distributed, even for small sample sizes.

Answer 6

f

Question 7

True or False: The standard error of the mean increases as the sample size increases

Answer 7

f

Question 8

True or False: Sampling variability arises from differences in the measurements taken
within a single sample.

Answer 8

f

Question 9

True or False: The Central Limit Theorem applies only to populations with a normal
distribution.

Answer 9

f

Question 10

True or False: A larger sample size will result in a narrower sampling distribution of the
mean.

Answer 10

t

Question 11

Which of the following best describes “Between Sample Variability”?

Answer 11

) Differences between samples drawn from the same population.

Question 12

What is the standard error of the mean (SE) formula?

Answer 12

SE = σ / n

Question 13

the Central Limit Theorem applies, what can you expect about the shape of the
sampling distribution of the sample means?

Answer 13

It will always be normal

Question 14

4. What does the term “Statistical Inference” refer to?

Answer 14

b) Drawing conclusions about a population based on data from a sample.

Question 15

n statistical terms, what does “Central Limit Theorem” (CLT) imply

Answer 15

The sampling distribution will be normal, regardless of the population distribution.

Question 16

What is the term used to describe the average of a group of continuous numerical values?

Answer 16

Mean

Question 17

. What is the term used to describe the most frequent value in a set of data?

Answer 17

mode

Question 18

This type of categorical variable is to simply count for a category divided by the total number
of subjects

Answer 18

proportions

Question 19

is the proportion times 100

Answer 19

%

Question 20

The total number of subjects with a particular category or level is

Answer 20

counts

Question 21

This is the common response on How to Find it in the Numerical Summary

Answer 21

mode

Question 22

This is the lowest value in Numerical summary

Answer 22

minimum

Question 23

This is the highest value in Numerical summary

Answer 23

maximum

Question 24

Numerical summaries that describes the population

Answer 24

parameters

Question 25

0. Numerical summaries that describes the samplr

Answer 25

parameter

Question 26

Range is the square root of the variance.

Answer 26

f

Question 27

2. Median measures the Center of the Middle value of the responses.

Answer 27

t

Question 28

First quartile are the Middle value of the last half of the responses

Answer 28

False

Question 29

Third quartile are the Middle value of the First half of the response

Answer 29

False

Question 30

5. Interquartile range is third quartile minus First quartil

Answer 30

True

Question 31

These measurements represent a limited set of possible values, such as the child being defined as obese or non-obese. B.

Answer 31

Categorical

Question 32

Are variables whose potential measurements for each subject are limited to a certain set of values.

Answer 32

C.Categorical Variables

Question 33

These measurements represent an unlimited set of possible values, such as the child’s BMI measured in kg/m2. E

Answer 33

.Continuous

Question 34

4. Are categorical variables with different levels or categories whose order matters.

Answer 34

A.Ordinal Variable

Question 35

Are categorical variables with different levels or categories whose order does not matter.

Answer 35

D.Nominal Variables

Question 36

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.

Answer 36

Graphical summaries

Question 37

Models a single trial with two outcomes (success and failure) and has one parameter representing the probability of success.

Answer 37

Bernoulli and Binomial Distribution

Question 38

A statistical concept used to describe the relative position of a particular data point within a dataset.

Answer 38

Percentiles

Question 39

Are discrete variables that represent the number of times an event or outcome occurs within a specified period, area, or set of conditions.

Answer 39

Count variable

Question 40

It is an uncountable variable.

Answer 40

Categorical variables

Question 41

Categorical variables can be shown as a table or graph

Answer 41

t

Question 42

Continuous Variables are a very special kind of categorical variable that can have only two levels.

Answer 42

f

Question 43

3.Dichotomous Variables can only have only numerical values

Answer 43

f

Question 44

4.Nominal Variables are categorical variables with different levels or categories whose order does not matte

Answer 44

TRUE

Question 45

5.Categorial Variable are categorical variables with different levels or categories whose order matters

Answer 45

FALSE