I'm looking at relationship in my variables, i use.....

Path analysis, multiple regression

Coefficient of Determination (R Squared)

is a regression quality parameter, is calculated from the correlation coefficient

Beside the Descriptive statistics, we have:

Predictive Statistics, Inferential statistics

What do you DO in statistics?

Analyze data, draw conclusions and report, Collect and describe data.

Descriptive statistics aims to:

Check how the data spread, check where the data central point is located, See if the dataset skwed, Measure the data tendency /dispersion /distribution

Data collection methods include:

Interview /questionnaires / observation /survey, Non-probability methods, Probability Methods

risk of wrongly rejecting the null hypothesis of equal means, Parameter measuring the truthfulness of the null hypothesis, area (probability) in the tails of the t-distribution

Based on the following test result table, find the mistake (s)

False positive = 99, True Negative = 901

Find the mistakes. In probability,

probability event is a collection of object

What is the name of this graph and its used?

box plot, use to visualize the data distribution parameters

For a population sample, what does a statistic mean?

Sample size + mean + variance + std deviation, Sample summaries

Data collection methods include:

Probability Methods, Non-probability methods, Interview /questionnaires / observation /survey

For a population sample, what does a statistic mean?

Sample summaries, Sample size + mean + variance + std deviation

In statistics, "Age" is usually a

quantitative variable, discrete variable

in Statistics, what is a population?

A collection of object interesting for study

In statistics, "Age" is usually a

discrete variable, quantitative variable

What can be the used of an experiment?

Product design & development, Process characterization & optimization, Evaluation of material properties

Conditional probability is used to

check if 2 event are independent., calculate the disease prevalence and sensitivity, analyze the false positive and negative in decision process

in Statistics, what is a population?

A collection of object interesting for study

What is the importance of the t-test?

Hypothesis testing in more that 2 level factorial design, provide objective comparison of experiments

2 events A and B are independents if

P(A | B) = P(A), P(A and B) = P(A)xP(B)

Why are we doing statistics?

Give credit to your work, Make inference about population using small ample, Evaluate numerical facts / interpret the results of sampling

What is false about random variables?

can be continuous, but not discrete

What does this picture represent?

The hypothesis testing framework, a common normal distribution, the distribution of 2 samples

Find the mistakes. In probability,

probability event is a collection of object

in Statistics, what is a sample?

a sub-population, an experimental condition in my lab experimental design

Based on the distribution shown in the picture,

the data follow a normal distribution with mean=0, the critical region is between -0.02518 and +0.02518, the p-value can be 0.042 if t= -2.20

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BME-710-FA17-SDA-Global Quiz

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Questions 85

Answers

1
Based on the following test result, what is the prevalence and the sensitivity of this disease?
P = 99/44155
43123/43155
P = 99/1000
S = 99/131
2
Based on the following test result, what is the prevalence and the sensitivity of this disease?
P = 99/1000
S = 99/131
43123/43155
P = 99/44155
3
I'm looking at relationship in my variables, i use.....
Variance
Path analysis
ANOVA
multiple regression
4
Coefficient of Determination (R Squared)
all of the above
is a regression quality parameter
Used to check the difference between 3 variables
is calculated from the correlation coefficient
5
Beside the Descriptive statistics, we have:
Preferential statistics
Analytic statistics
Predictive Statistics
Inferential statistics
6
What do you DO in statistics?
Analyze data, draw conclusions and report
None of the above
Collect and describe data.
Setup and experiment
7
Descriptive statistics aims to:
Check how the data spread
check where the data central point is located
See if the dataset skwed
Measure the data tendency /dispersion /distribution
8
Data collection methods include:
Interview /questionnaires / observation /survey / clustering
Interview /questionnaires / observation /survey
Non-probability methods
Probability Methods
9
What is a p-value?
risk of wrongly rejecting the null hypothesis of equal means
Parameter measuring the truthfulness of the null hypothesis
the confidence error
area (probability) in the tails of the t-distribution
10
Based on the following test result table, find the mistake (s)
False positive = 99
True Negative = 901
True positive = 99
False Negative = 32
11
What is an Experiment?
None of the above
a series of test
a test integrated in a series of tests
a test
12
Find the mistakes. In probability,
probability law is a set of operations
probability operation connect a set of event
probability event is a collection of object
we have objective probability and subjective probability
13
What is the name of this graph and its used?
box plot
use to visualize the data distribution parameters
dot plot
bar graph
14
For a population sample, what does a statistic mean?
None of the above
Population size + proportion + mean + variance + std dev
Sample size + mean + variance + std deviation
Sample summaries
15
the following figure describe:
continuous distribution mean and stdev
mean and stdev of binomial distribution with n runs
Population mean and stdev
binomial distribution mean
16
In ED, we can use___________ method for "Recognition & statement of problem"
all of the above
Block design
Brainstorming
CAUSE-EFFECT and one factor at the time concept
17
Data collection methods include:
Probability Methods
Non-probability methods
Interview /questionnaires / observation /survey / clustering
Interview /questionnaires / observation /survey
18
To compares observed frequencies to expected frequencie, i use:
ANCOVA
Median
regression
chi-square
19
For a population sample, what does a statistic mean?
Sample summaries
Sample size + mean + variance + std deviation
None of the above
Population size + proportion + mean + variance + std dev
20
In statistics, "Age" is usually a
categorical variable
quantitative variable
discrete variable
continuous variable
21
Probability key properties do not include:
P(A) + P(A∩B) =1
0≤P(A)≤1
P(A)=1−P(A¯)
P(A∪B)=P(A)+P(B)−P(A∩B)
22
The DV is the variable that is measure in response to the IV.
Yes
Sometime
No
23
in Statistics, what is a population?
Answer 2 and 3
All persons inhabiting a location country/city/district/area
Just a group of people
A collection of object interesting for study
24
Do differences exist between 2 or more groups on multiple DVs?
t-test
MANOVA
chi-square
ANOVA
25
Find the area under the standard normal curve to the left of 0.87 of a continuous distribution
0.8577
0.8078
0.8
0.07
26
In statistics, "Age" is usually a
continuous variable
discrete variable
quantitative variable
categorical variable
27
I have: IVs as drug use, alcohol use, child abuse. And DV as suicidal tendencies
ANOVA
Linear regression
Multiple regression
path analysis
28
This picture describe the sample characteristics
No
Partially
Yes
29
"Do males and females differ in the amount of hours they spend shopping per month?" Use???..
t-test
Chi-Square
correlation
MANOVA
30
Let Z the statistic describe on the following figure. what is the probability that Z>0.87?
0.1922
2
None of the above
0.5
31
What can be the used of an experiment?
Product design & development
System and tolerance
Process characterization & optimization
Evaluation of material properties
32
Conditional probability is used to
check if 2 event are independent.
calculate the disease prevalence and sensitivity
analyze the false positive and negative in decision process
check the dataset quality
33
in Statistics, what is a population?
A collection of object interesting for study
Answer 2 and 3
Just a group of people
All persons inhabiting a location country/city/district/area
34
What is the importance of the t-test?
Hypothesis testing in more that 2 level factorial design
provide objective comparison of experiments
Correlate a data summary to the experimental plan
35
2 events A and B are independents if
All of the above
P(A | B) = P(B)
P(A | B) = P(A)
P(A and B) = P(A)xP(B)
36
To measure of how spread out a distribution is, i use:
standard deviation
mean
none of the above
variance
37
Why are we doing statistics?
Give credit to your work
Design your hypothesis
Make inference about population using small ample
Evaluate numerical facts / interpret the results of sampling
38
Child abuse causes drug use which leads to suicidal tendencies. i use:
ANOVA
path analysis
logistic regression
t-test
39
What are the odds of a suicide occurring at various levels of alcohol use? I use:
correlation
None of the above
multiple regression
logistic regression
40
What is false about random variables?
can be discrete and continuous
takes on different values determined by chance
can be qualitative or quantitative
can be continuous, but not discrete
41
What does this picture represent?
The hypothesis testing framework
Binomial distribution
a common normal distribution
the distribution of 2 samples
42
G-Power is
A sample size calculation tool
Statistics method for distribution power estimation.
A statistic power evaluation tool
43
Find the mistakes. In probability,
probability law is a set of operations
we have objective probability and subjective probability
probability event is a collection of object
probability operation connect a set of event
44
who is on this picture?
R. A. Fisher
William Sealy Gosset
George Box
Watson Crick
45
in Statistics, what is a sample?
a small population
a sub-population
an experimental condition in my lab experimental design
46
Based on the distribution shown in the picture,
the data follow a normal distribution with mean=0
the data is skewed
the critical region is between -0.02518 and +0.02518
the p-value can be 0.042 if t= -2.20
47
In probability, the term "discrete" refer to:
finite
real value
countable
infinite
48
The Experiment Ddesign process do not aim to....
None of the above
Achieve product & process robustness
Reduce design/development time OR Improve performance
Improve product reliability & performance -Evaluate material
49
Do SAT scores differ for low-, middle-, and high-income students? I use:
logistic regression
MONCOVA
ANOVA
linear regression
50
Probability key properties do not include:
P(A∪B)=P(A)+P(B)−P(A∩B)
P(A) + P(A∩B) =1
0≤P(A)≤1
P(A)=1−P(A¯)
51
In probability, the term "discrete" refer to:
real value
infinite
countable
finite
52
If my variable is "Sexe" with values in [male, female], what can I use to visualize my data.
Bar graph
Pie chart
scatter plot
dot plot
53
Let Z the statistic describe on the following figure. what is the probability that Z>0.87?
0.5
None of the above
2
0.1922
54
In statistic, a population kind and size can be....
Kind: people, large, animal
kind: people, animals, plant, things, ...
Size: Very large / Very small
Size: 5.6 / 50000000656 / 200/ 0.01
55
How can I assess the accuracy of my data collection?
Ask my friend to look at my data.
use bias checking tools
calculate the margin error 1/sqrt(n)
None of the above
56
What can be the used of an experiment?
Product design & development
Evaluation of material properties
Process characterization & optimization
System and tolerance
57
What is an Experiment?
a series of test
None of the above
a test
a test integrated in a series of tests
58
If i'm looking for how spread is my dataset distribution, i use....
Mean
STDEV
Variance
Median
59
I'm looking at group difference in my dataset, i use.......
path analysis
t-test
logistic regression
ANCOVA
60
D follow a binomial distribution if:
all trials are independents & have same success probability
fixed number of trials
all of the above combine
have only 2 outcomes
61
Prevalence and sensitivity are:
Sensitivity: probability of correct result from actual state
Prevalence: disease's probability of occurrence
Prevalence: probability of correct result from actual state
Sensitivity: disease's probability of occurrence
62
This picture describe the sample characteristics
Yes
No
Partially
63
What is statistics?
Science of controlling & communicating uncertainty
science of learning from data to control science & society
Statistic
Science of learning from data & measuring uncertainty
64
Hints to consider during ED ptocess
Your non-statistical knowledge is crucial to success
Think and experiment sequentially (use the KISS principle)
Get statistical thinking involved early
Pre-experimental planning not necessary
65
Experiment Design strategy include?
One-factor-at-a-time (OFAT) experiments
Fisher's factorial concept based design
Good-guest design
Statistically designed experiments
66
Is sex and voting behavior due to chance or sexes differ the voting behavior?, i use:
MANCOVA
mean
Chi-Square
multiple regression
67
Amount of damage to a house on fire and number of firefighters at the fire? I use:
MANOVA
correlation
Multiple regression
ANOVA
68
In this picture, -0.56 can be the correlation coefficient for:
D
C
A
B
69
Central Limit Theorem help approximate statistics even with minimal information on distribution
Yes
No
70
what is a continuous random variable?
Sex is a continuous random variable
height is a continuous random variable
variable with a value in an interval
71
In ED, a testable question can be obtained using the template....
What is the EFFECT of IV on DV?
What is the EFFECT of DV on IV?
All of the above
72
Based on the following test result table, find the mistake (s)
False positive = 99
False Negative = 32
True Negative = 901
True positive = 99
73
What does this picture represent?
Binomial distribution
a common normal distribution
The hypothesis testing framework
the distribution of 2 samples
74
2 events A and B are independents if
P(A | B) = P(B)
All of the above
P(A | B) = P(A)
P(A and B) = P(A)xP(B)
75
Prevalence and sensitivity are:
Prevalence: disease's probability of occurrence
Sensitivity: disease's probability of occurrence
Prevalence: probability of correct result from actual state
Sensitivity: probability of correct result from actual state
76
Conditional probability is used to
check the dataset quality
check if 2 event are independent.
calculate the disease prevalence and sensitivity
analyze the false positive and negative in decision process
77
What is false about random variables?
can be continuous, but not discrete
can be discrete and continuous
can be qualitative or quantitative
takes on different values determined by chance
78
Beside the Descriptive statistics, we have:
Analytic statistics
Predictive Statistics
Preferential statistics
Inferential statistics
79
How can I achieve the Choice of factors, levels, and ranges in ED?
Use fishbone diagram
Use Cause and effect diagram
None of the above
80
What is a p-value?
Parameter measuring the truthfulness of the null hypothesis
the confidence error
risk of wrongly rejecting the null hypothesis of equal means
area (probability) in the tails of the t-distribution
81
D follow a binomial distribution if:
all trials are independents & have same success probability
fixed number of trials
all of the above combine
have only 2 outcomes
82
Probability is the extent to which something is possible
Yes
No
83
Independent Variable (IV) can also be called....
none of the above
response variable
CAUSE
EFFECT
84
the following figure describe:
mean and stdev of binomial distribution with n runs
Population mean and stdev
binomial distribution mean
continuous distribution mean and stdev
85
Experimental Design steps include
1)State the problem. /2) choose factors-levels-ranges.
Drawing conclusions, recommendations
1)Conducting the experiment./ 2)Statistical analysis
1)Selection of the response variable(s). /2)Choice of design

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