Data Analytics MCQ Unit-III

 

UNIT- III

 

1.   ___________ is a branch of mathematics dealing with the collection, analysis, interpretation, presentation and organization of data.

[A]   Ordinal data
[B]   Constant data
[C]   Statistics
[D]  None of the above

 

2.   ____________deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments.

[A]   Ordinal data
[B]   Constant data
[C]   Statistics
[D]  None of the above

 

3.   ____________ is a branch which covers natural processes and phenomena and provides us the knowledge for decision making.

[A]   Ordinal data
[B]   Constant data
[C]   Applied statistics
[D]  None of the above

 

4.   ___________ is the process of breaking a complex topic or substance into smaller parts in order to gain a better understanding of it.

[A]   Statistics
[B]   Analysis
[C]   Applied statistics
[D]  None of the above

 

5.      _________data are called digital or binary data.

[A]   Continuous
[B]   Discrete
[C]   Both of the above
[D]  None of the above

 

6.      _________data types are called analog data.

[A]  Continuous
[B]   Discrete
[C]   Both of the above
[D]  None of the above

 

7.   ___________ represent items that can be counted, they take on possible values that can be listed out.

[A]   Continuous data
[B]   Discrete data
[C]   Both of the above
[D]  None of the above

 

8.   ___________ represent measurements, their possible values cannot be counted and can only be described using intervals on the real number line.

[A]  Continuous data
[B]   Discrete data
[C]   Both of the above
[D]  None of the above

 

9.   ___________ represents characteristics such as a person’s gender, hometown or the types of movies they like.

[A]   Continuous data
[B]   Discrete data
[C]   Categorical data
[D]  None of the above

 

10.              ___________ focused on descriptions and comparisons.

[A]   Predictive analytics
[B]   Descriptive analytics
[C]   Prescriptive analytics
[D]  None of the above

 

11.              ___________ focused on casual relationships and sequences.

[A]   Predictive analytics
[B]   Diagnostic inferential analytics
[C]   Prescriptive analytics
[D]  None of the above

 

12.              ___________ includes both frequentist and Bayesian causal inferential analyses. 

[A]   Predictive analytics
[B]   Diagnostic inferential analytics
[C]   Prescriptive analytics
[D]  None of the above

 

13.              ___________ focused on non-discrete predictions of future states, relationship and patterns.

[A]  Predictive analytics
[B]   Descriptive analytics
[C]   Prescriptive analytics
[D]  None of the above

 

14.              ___________ focused on optimal decisions for future situations.

[A]   Predictive analytics
[B]   Descriptive analytics
[C]   Prescriptive analytics
[D]  None of the above

 

15.              ___________ focused on consumption patterns and associated business outcomes.

[A]   Predictive analytics
[B]   Outcome analytics
[C]   Prescriptive analytics
[D]  None of the above

 

16.  Backward looking, Real-time and forward looking is used in __________________.

[A]   Predictive analytics
[B]   Prescriptive analytics
[C]   Outcome analytics
[D]  None of the above

 

17.   ____________ is the measure of the likelihood that an event will occur.

[A]   Frequency distribution
[B]   Probability
[C]   Median
[D]  None of the above

 

18.  A ____________ is a table or graph that displays the frequency of various outcomes in a sample.

[A]   Probability
[B]   Median
[C]   Frequency distribution
[D]  None of the above

 

19.  Measures means __________ and central tendency means __________ value of any statistical series.

[A]   average, methods
[B]   methods, average
[C]   both of the above
[D]  none of the above

 

20.  __________________ are main measures of central tendency.

[A]   Mean
[B]   Median
[C]   Mode
[D]  All of the above

 

21.  The ____________ is the middle score for a set of data that has been arranged in order of magnitude.

[A]   Mode
[B]   Median
[C]   Frequency distribution
[D]  None of the above

 

22.  The ____________ is the most frequent score in our data set.

[A]  Mode
[B]   Median
[C]   Frequency distribution
[D]  None of the above

 

23.  Which is / are types of statistical means______________________.

[A]   Geometric mean
[B]   Median
[C]   Mode
[D]  All of the above

 

24.  The ____________ may be a better indicator of the most typical value if a set of scores has an outlier.

[A]   Mode
[B]   Median
[C]   Frequency distribution
[D]  None of the above

 

25.  When the sample size is large and does not include outliers, the __________ score usually provides a better measure of central tendency.

[A]   Mode
[B]   Median
[C]   Mean
[D]  None of the above

 

26.  _____________is relevant on certain sets of data and is different from the arithmetic mean.

[A]  Geometric mean
[B]   Median
[C]   Mode
[D]  None of the above

 

27.  If type of variable is nominal, then __________ is the best measure of central tendency.

[A]  Mode
[B]   Median
[C]   Mean
[D]  None of the above

 

28.  If type of variable is ordinal, then __________ is the best measure of central tendency.

[A]   Mode
[B]   Median
[C]   Mean
[D]  None of the above

 

29.  If type of variable is interval/ratio (not skewed), then __________ is the best measure of central tendency.

[A]   Mode
[B]   Median
[C]   Mean
[D]  None of the above

 

30.  If type of variable is interval/ratio (skewed), then __________ is the best measure of central tendency.

[A]   Mode
[B]   Median
[C]   Mean

[D]  None of the above