stud
bud
Sign up
Log in
Home
Library
Explore
SAT
More
Statistics and Probability Flashcards | StudBud
Explore
/
Statistics and Probability
Types of Bar Graphs
N = 2355, e = 0.05, n =?
Statistics and Probability
35 terms
·
StudBud Administration
·
1 play
Imported from external platform
Flashcards
35 cards
F
Practice quiz
P
Host live
L
Questions
35
Answers
1
N = 2355, e = 0.05, n =?
341
345
351
342
2
Types of Bar Graphs
Cluster
Horizontal
Stacked
Vertical
3
N = 210, e = 5%, n =?
137
139
136
138
4
Methods of Data Collection
Interview, Observation, Registration, Interpolation, Classification
Interview, Questionnaire, Registration, Observation, Experimentation
Observation, Questionnaire, Registration, Qualification, Intervention
Interview, Observation, Registration, Consultation, Palpitation
5
Two Types of Data
Quality and Quantity
Qualitative and Quantitative
Qualifications and Quantum
Quantitative and Queue
6
Precision of Estimates, Statistical Power, and Generalizability are key concepts of Factors Affecting Sample Size.
True
False
7
Is Lotto an example of Simple Random Sampling?
No
I don't know
Maybe
Yes
8
Refers to information collected through observation, experimentation, or research.
Variable
Mean
Data
Mode
9
Math Scores from 22 Students : 22, 20, 25, 22, 23, 19, 25, 30, 28, 23, 22, 21, 29, 27, 30, 24, 23, 22, 21, 26, 30, 30
24.22
23.56
24.63
23.33
10
Variables are ____________?
Observed
Calculated
Measured
Listed
11
__________ represents categories or groups, but these categories have a natural order or ranking.
Ordinal Data
Mobile Data
Nominal Data
Statistical Data
12
Every member of the population has a known, non-zero chance of being selected.
Roulette Sampling
Probability Sampling
Non-Probability Sampling
Raffle Sampling
13
A population is a group to be studied, and population data is a collection of all elements in the population.
False
True
14
If you have a list of 1000 names and you want a sample of 100, you might choose every 10th name. This is an example of?
Stratified
Cluster
Systematic
Simple Random
15
This technique is useful when targeting a specific group of experts or individuals with characteristics.
Quota
Judgement Sampling
Snowball
Purposive Sampling
16
________ can be quantitative (numeric) or qualitative (categorical).
Variable
Statistics
Set
Data
17
The Average, The Middle Value, and The Most Frequent Value.
Measures of Central Tendency
Data Presentation
Measure of Dispersion
Data Collection
18
A branch of Mathematics that deald with analyzing, interpreting, collecting, and presenting the data.
Statistics
Mode
Probability
Mean
19
Hard-to-Locate
Purposive
Snowball
Cluster
Stratified
20
Qualitative variables are also known as categorical variables.
False
True
21
Adequate sample size ensures that results can be generalized to the broader population. [Generalizability]
False
True
22
1500/1 + (1500)(0.05)² =?
312
319
321
315
23
200/1 + (200)(0.05)² =?
135
133
134
132
24
165/1 + (165)(5%)² =?
116
115
120
118
25
________ represents categories or groups with no inherent order or ranking.
Numerical Data
Nominal Data
Statistical Data
Ordinal Data
26
Larger sample sizes provide more precise estimates of population parameters. [Precision of Estimates]
False
True
27
Variables are the characteristics we are interested in.
True
False
28
Population Size are total number of individuals in the group you are studying.
False
True
29
A sample is a subset of data drawn from the population of interest.
False
True
30
Height, weight , speed are examples of Qualitative Variable.
False
True
31
Key concepts of Understanding Slovin's Formula are Population Size (N), Margin of Error (e), and the formula itself.
False
True
32
Simple Random Sampling - Every member of the population has an equal chance of being selected. Is the statement right?
Yes
No
I don't know
Maybe
33
Quota: 150 students
Cluster Sampling
Stratified Sampling
Quota Sampling
Snowball Sampling
34
Based of the specific characteristics.
Purposive
Convenience
Judgement
Cluster
35
NOT every member of the population has a known or equal chance of being selected.
Non-Probability
Non-Stop
Non-Fiction
Non-Pick