# Statistics and Probability Katabasis MCQ solution | TCS Fresco Play

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_________________________

1.__________ is the science of learning from data.

Probability

Statistics

2.__________ denotes the set of all outcomes obtained in an experiment process.

Sample

Sample Space

Event

3.The Central Limit Theorem states that as the sample size gets larger, the sampling distribution of the sample means approaches a normal distribution.

False

True

4.Central Limit Theorem holds true for __________.

Skewed Population

None of the options

Normal Population

All the options

5.An experiment can be repeated __________.

Finitely

Infinitely

6.PMF produces the likelihood of __________ random variable.

Continuous

Discrete

Mean and Mode

All the options

Median and Mode

Mean

Range, Standard Deviation, Variance

8.Probability Density Function produces the likelihood of __________ random variable.

Continuous

Discrete

9.Inferential Statistics produces inferences from __________.

All the options

Populations

Sample

10.NumPy package of Python can be used to calculate the mean measure.

True

False

11.__________ provides the summary statistics of data.

Inferential Statistics

Descriptive Statistics

12.__________ maps outcomes of an experiment with numerical values.

Random Variables

Probability

13.Descriptive Statistics works on __________ dataset.

Sample

Population

All the options

14.Probability value always lies between __________ and __________.

-1,1

0,1

-infinity,infinity

infinity, -infinity

15.Expected Value is same as Mean and Average.

True

False

16.Inferential Statistics conclusions are represented in the form of __________.

Forms

Charts

All the options

Probability Scores

17.Individual repetitions of experiment is termed as __________.

trials

flips

try

All the options

18.Sample Space is denoted by __________.

s

S

19.Common Methods in Inferential Statistics are ________________________.

Confidence Intervals

ANOVA

Hypothesis Tests

All the options

20.The Acronym ANOVA stands for __________.

Analysis of Variance

Analysis of Variance and Expected Value

Analysis of Variant