g1 Flashcards

1
Q

Define “Sampling Variability.

A

.The differences between samples drawn from the same population.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is a “True Parameter” in statistics

A

A numerical summary that represents the entire population.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q
  1. Explain what “Statistics” refer to in statistical terms
A

Numerical summaries calculated from a sample to estimate population parameters.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is the primary benefit of a representative sample?
I

A

It ensures that the sample statistics match the population parameters.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is a “Sampling Distribution”?

A

The distribution of sample means from multiple random samples.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

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

A

f

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

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

A

f

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

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

A

f

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

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

A

f

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

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

A

t

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

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

A

) Differences between samples drawn from the same population.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

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

A

SE = σ / n

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

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

A

It will always be normal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q
  1. What does the term “Statistical Inference” refer to?
A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

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

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

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

A

Mean

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

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

A

mode

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

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

A

proportions

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

is the proportion times 100

A

%

20
Q

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

A

counts

21
Q

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

A

mode

22
Q

This is the lowest value in Numerical summary

A

minimum

23
Q

This is the highest value in Numerical summary

A

maximum

24
Q

Numerical summaries that describes the population

A

parameters

25
Q
  1. Numerical summaries that describes the samplr
A

parameter

26
Q

Range is the square root of the variance.

A

f

27
Q
  1. Median measures the Center of the Middle value of the responses.
A

t

28
Q

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

A

False

29
Q

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

A

False

30
Q
  1. Interquartile range is third quartile minus First quartil
A

True

31
Q

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

A

Categorical

32
Q

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

A

C.Categorical Variables

33
Q

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

A

.Continuous

34
Q
  1. Are categorical variables with different levels or categories whose order matters.
A

A.Ordinal Variable

35
Q

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

A

D.Nominal
Variables

35
Q
A
36
Q

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.

A

Graphical summaries

37
Q

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

A

Bernoulli and Binomial Distribution

38
Q

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

A

Percentiles

39
Q

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

A

Count variable

40
Q

It is an uncountable variable.

A

Categorical variables

41
Q

Categorical variables can be shown as a table or graph

A

t

42
Q

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

A

f

43
Q

3.Dichotomous Variables can only have only numerical values

A

f

44
Q

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

A

TRUE

45
Q

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

A

FALSE