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1
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Probability value always lies between __________ and __________.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#probability-value
+1
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1
answer
Common Methods in Inferential Statistics are ________________________.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#inferential-statistics
+2
votes
1
answer
__________ denotes the set of all outcomes obtained in an experiment process.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#experimental-space
+1
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1
answer
Probability of __________ event is zero.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#probability-event
+1
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1
answer
The Central Limit Theorem states that as the sample size gets larger, the sampling distribution of the sample means approaches a normal distribution.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#central-limit-theorem
+1
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1
answer
Probability Density Function produces the likelihood of __________ random variable.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#probability-density
+1
vote
1
answer
Expected Value is same as Mean and Average.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#expected-value
+1
vote
1
answer
Descriptive Statistics works on __________ dataset.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#descriptive-statistics
+1
vote
1
answer
Central Limit Theorem holds true for __________.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#central-limit
+1
vote
1
answer
Measures of Spread include(s)
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#spread-data
+1
vote
1
answer
Inferential Statistics conclusions are represented in the form of __________.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#inferential-statistics
+2
votes
1
answer
__________ is the science of learning from data.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#probability-data
+1
vote
1
answer
Probability of the sure event is __________.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#probability-event
+1
vote
1
answer
Central Limit Theorem condition remains true regardless of whether the population is skewed or normal, provided the sample size is sufficiently large.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#minimum-sample
+4
votes
1
answer
__________ maps outcomes of an experiment with numerical values.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#probability
+3
votes
1
answer
NumPy package of Python can be used to calculate the mean measure.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#numpy-package
+2
votes
1
answer
Individual repetitions of experiment is termed as __________.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#data-try
+3
votes
1
answer
An experiment can be repeated __________.
asked
Jan 16, 2020
in
Data Science
by
sharadyadav1986
#statistics
#experiment
0
votes
1
answer
Response variable is a __________.
asked
Jan 16, 2020
in
Data Science
by
rahuljain1
#response-variable
0
votes
2
answers
__________ step of classification contributes to the construction of learning model.
asked
Jan 16, 2020
in
Data Science
by
rahuljain1
#data-binding
0
votes
1
answer
Consider an example of an apartment: The number of bedrooms, bathrooms, and the floor of an apartment determines its price. Which is the dependent variable in this example?
asked
Jan 16, 2020
in
Data Science
by
rahuljain1
#data-price
+1
vote
1
answer
__________ is the problem of identifying a category to which a new observation belongs to, based on a training set of data containing observations whose categories are already known.
asked
Jan 16, 2020
in
Data Science
by
rahuljain1
#data-classification
+2
votes
1
answer
Consider an example of an apartment: The number of bedrooms, bathrooms, and the floor of an apartment determines its price.
asked
Jan 16, 2020
in
Data Science
by
rahuljain1
#data-example
0
votes
2
answers
What is the difference between machine learning and deep learning?
asked
Jan 2, 2020
in
Data Science
by
sharadyadav1986
#machine-learning-vs-deep-learning
0
votes
1
answer
What do you mean by Deep Learning?
asked
Jan 2, 2020
in
Data Science
by
sharadyadav1986
#deep-learning
0
votes
1
answer
How would you go about this problem?
asked
Jan 2, 2020
in
Data Science
by
sharadyadav1986
#data-science
0
votes
1
answer
How Regularly Must an Algorithm be Updated?
asked
Jan 2, 2020
in
Data Science
by
sharadyadav1986
#algo-use
0
votes
1
answer
What is a Box-Cox Transformation?
asked
Jan 2, 2020
in
Data Science
by
sharadyadav1986
#box-cox-transformation
0
votes
1
answer
What cross-validation technique would you use on a time series data set?
asked
Jan 2, 2020
in
Data Science
by
sharadyadav1986
#cross-validation-technique
0
votes
1
answer
How Do You Work Towards a Random Forest?
asked
Jan 2, 2020
in
Data Science
by
sharadyadav1986
#random-forest-work
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