Important MCQs Graphs and Charts 1

The post is about MCQs Graphs and Charts. There are 20 multiple-choice questions covering topics related to data visualization techniques, pie charts, bar charts, graphs of time series, histograms, cumulative frequency curves, box plots, etc. Let us start with MCQs Graphs and Charts

Online MCQs about Charts and Graphs with Answers

1. The process of systematic arrangement of data in rows and columns is called

 
 
 
 
 

2. A Histogram is a set of adjacent

 
 
 
 

3. In constructing a histogram, if the class interval size of one class is double that of others, then the width of that bar should be

 
 
 
 

4. While constructing Frequency Distribution, the number of classes used depends upon

 
 
 
 

5. An ogive is a

 
 
 
 

6. _______________________ use the division of a circle into different sectors

 
 
 
 

7. The total angles in the Pie chart are

 
 
 
 

8. Which of the following is NOT appropriate for studying the relationship between two quantitative variables?

 
 
 
 

9. Total Relative Frequency is always

 
 
 
 

10. The budgets of the two families can be compared by __________.

 
 
 
 

11. The graph showing the paired points ($X_i, Y_i$) is called a

 
 
 
 

12. Cumulative Frequency is ___________________ frequency

 
 
 
 

13. Graph of time series data is called

 
 
 
 

14. By dividing the upper and lower limits of a particular class we get

 
 
 
 

15. The average value of the lower and upper limit of a class is called

 
 
 
 

16. The graph of cumulative frequency is called

 
 
 
 

17. The graph of the normal distribution depends on

 
 
 
 

18. The graph of a frequency distribution is called

 
 
 
 

19. Cumulative Frequency Curve is also called

 
 
 
 

20. The graph below represents the relationship that is

Positive correlation

 
 
 
 

MCQS Graphs and Charts

MCQS Graphs and Charts with Answers
  • Graph of time series data is called
  • The process of systematic arrangement of data in rows and columns is called
  • While constructing Frequency Distribution, the number of classes used depends upon
  • Cumulative Frequency is ———– frequency
  • The graph of cumulative frequency is called
  • The average value of the lower and upper limit of a class is called
  • Total Relative Frequency is always
  • The total angles in the Pie chart are
  • ———– use the division of a circle into different sectors
  • A Histogram is a set of adjacent
  • Cumulative Frequency Curve is also called
  • In constructing a histogram, if the class interval size of one class is double that of others, then the width of that bar should be
  • The graph of the normal distribution depends on
  • The graph of a frequency distribution is called
  • By dividing the upper and lower limits of a particular class we get
  • An ogive is a
  • The budgets of the two families can be compared by ———–.
  • The graph showing the paired points ($X_i, Y_i$) is called a
  • The graph below represents the relationship that is
  • Which of the following is NOT appropriate for studying the relationship between two quantitative variables?
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Important MCQs Probability Statistics 5

The post is about MCQs Probability Statistics. There are 20 multiple-choice questions covering topics related to events and types of events, basics of probability and types of probability, and addition and multiplication rules of probability. Let us start with the MCQs Probability Statistics.

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Online MCQs Probability Statistics

MCQs Probability Statistics with Answers
  • Two events $A$ and $B$ are independent if and only if
  • If $A$ and $B$ are mutually exclusive, then
  • If the events $B_1, B_2, \cdots, B_k$ partition of this sample space $S$ that $P(B_i)\ne 0$ for $i = 1, 2, \cdots, k$)  then for any event $A$ of $S$
  • Let $A_1, A_2, \cdots, A_n$ be $n$ events in an event space. If
    $P(A_iA_j) = P(A_i)P(A_j) \quad for \quad i\ne j$
    $P(A_iA_jA_k) =P(A_i)P(A_j)P(A_k) \quad for \quad i\ne j \ne k$
    $\vdots$
    $P(\cap_{i=1}^n A_i) = \prod_{i=1}^n P(A_i)$ then the events are called
  • The classical probability method is applied to an experiment that
  • The joint probability of two independent events $A$ and $B$ is
  • Two mutually exclusive events
  • The probability can never be
  • The probability of an impossible event is always
  • If $P(A \cap B) = 0.12$ and $P(A) = 0.3$, find $P(B)$ where $A$ and $B$ are independent
  • For two mutually exclusive events $A$ and $B$, $P (A) = 0.2$ and $P (B) = 0.4$, then $P(A \cup B)$ is
  • A standard deck of 52 cards is shuffled. What is the probability of choosing the 5 diamonds,
  • When two coins are tossed the probability of at least one head is
  • Two cards are drawn at random from a standard deck of 52 cards, without replacement. What is the probability of drawing a 7 and a king in that order?
  • $P(A\cap B)=P(A)\cdot P(B)$, then $A$ and $B$ are
  • To calculate posterior probability, a data professional can use ———- to update the prior probability based on the data.
  • When three dice are rolled, the sample space consists of
  • An event that contains the finite number point, the sample space is called
  • The total area under the curve in the probability of density function is?
  • If $A$ denotes the males of a town and $B$ denotes the females of that town, then $A$ and $B$ are ——-?
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Best Probability MCQs Quiz 4

The post is about the Probability MCQs Quiz. There are 25 multiple-choice questions covering the topic related to counting rules of probability, random experiments, assigning probability, events and types of events, and rules of probability. Let us start with the Probability MCQs Quiz.

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  • A lottery is conducted using 3 urns. Each urn contains balls numbered from 0 to 9. One ball is randomly selected from each urn. The total number of sample points in the sample space is
  • Three applications for admission to a university are checked to determine whether each applicant is male or female. The number of sample points in this experiment is
  • Suppose your favorite cricket team has 2 games left to finish the series. The outcome of each game can be won, lost, or tied. The number of possible outcomes is
  • Each customer entering a departmental store will either buy or not buy a certain product. An experiment consists of the following 3 customers and determining whether or not they will buy any certain product. The number of sample points in this experiment is as follows:
  • Two letters are to be selected at random from five letters (A, B, C, D, and E). How many possible selections are there?
  • The “Top Three” at a racetrack consists of picking the correct order of the first three horses in a race. If there are 10 horses in a particular race, how many “Top Three” outcomes are there?
  • When the assumption of equally likely outcomes is used to assign probability values, the method used to assign probabilities is referred to as the
  • A method of assigning probabilities that assumes the experimental outcomes are equally likely is called
  • When the results of historical data or experimentation are used to assign probability values, the method used to assign probabilities is referred to as the
  • The probability assigned to each experimental outcome must be
  • An experiment consists of four outcomes with $P(A) = 0.2, P(B) = 0.3, P(C) = 0.4$. The probability of the outcome $P(D)$ is
  • Given that event $A$ has a probability of 0.25, the probability of the complement of event $A$
  • The symbol $\cup$ shows the
  • The union of events $A$ and $B$ is the event containing
  • The probability of the union of two events with non-zero probabilities
  • The symbol $\cap$ shows the
  • The addition law helps to compute the probabilities of
  • If $P(A) = 0.38, P(B) = 0.83$, and $P(A\cap B)=0.57$, then $P(A\cup B) =$ ?
  • If $P(A) = 0.62, P(B) = 0.47$, and $P(A\cup B) = 0.88$, then $P(A \cap B) =$ ?
  • Two events are mutually exclusive if
  • Events that have no sample points in common are called
  • The probability of the intersection of two mutually exclusive events
  • If two events are mutually exclusive, then the probability of their intersection
  • Two events, $A$ and $B$ are mutually exclusive and each has a non-zero probability. If event $A$ is known to occur, the probability of the occurrence of event $B$ is
  • If $A$ and $B$ are mutually exclusive events with $P(A)=0.3$ and $P(B)=0.5$, then $P(A \cap B)=$?
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