Define discrete and continuous variable.

Define discrete and continuous variable.
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Ans: A variable which can assume only some specific values within a given range is called discrete variable. For e.g. Number of students in a class, Number of houses in a street, number of children in a family etc. it can’t occur in decimal. A variable which can assume any value within a given range is called a continuous variable. For e.g. age of persons, speed of car, temperature at a place, income of a person, height of a plant, a life time of a T.V tube etc.
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Related questions

Define discrete variable by giving examples.

Description : Define discrete variable by giving examples.

Last Answer : Ans: A variable which can assume only some specific values within a given range is called discrete variable. For e.g. Number of students in a class, Number of houses in a street, number of children in a family etc. it can’t occur in decimal.

Define continuous data and give two examples.

Description : Define continuous data and give two examples.

Last Answer : Ans: Data which can be described by a continuous variable is called continuous data. For e.g. age of persons, speed of car, temperature at a place, income of a person, height of a plant, a life time of a T.V tube etc

What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables

Description : What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables

Last Answer : d) Probability distributions for Continuous variables

Which variable cannot be written in entire distribution as a table? a) Discrete b) Continuous c) Both Discrete & Continuous d) None of the mentioned

Description : Which variable cannot be written in entire distribution as a table? a) Discrete b) Continuous c) Both Discrete & Continuous d) None of the mentioned

Last Answer : b) Continuous

A Hybrid Bayesian network contains ___________ a) Both discrete and continuous variables b) Only Discrete variables c) Only Discontinuous variable

Description : A Hybrid Bayesian network contains ___________ a) Both discrete and continuous variables b) Only Discrete variables c) Only Discontinuous variable

Last Answer : a) Both discrete and continuous variables

What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables

Description : What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables

Last Answer : d) Probability distributions for Continuous variables

A Hybrid Bayesian network contains  Both discrete and continuous variables  Only Discontinuous variable  Both Discrete and Discontinuous variable  Continous variable only.

Description : A Hybrid Bayesian network contains  Both discrete and continuous variables  Only Discontinuous variable  Both Discrete and Discontinuous variable  Continous variable only.

Last Answer :  Both Discrete and Discontinuous variable

Statistics: Which test to use to find the relation between two binary variables adjusted for a continuous and two binary covariates? How do I check for covariates in the first place?

Description : Statistics: Which test to use to find the relation between two binary variables adjusted for a continuous and two binary covariates? How do I check for covariates in the first place?

Last Answer : ~ Do you have an English translation Equation? Maybe the Quadratic Equation -b + – 4ac over 2a. Breathe in and breath out. when you relax the answer will come.

What is qualitative variable?

Description : What is qualitative variable?

Last Answer : Ans: When a characteristic is express by mean of qualitative term is known as qualitative variable or an attributes. For e.g. smoking, beauty, educational status, green, blues etc. it is noted that these characters can not measure numerically.

What is quantitative variable?

Description : What is quantitative variable?

Last Answer : Ans: A characteristics expressed by mean of quantitative terms is known as quantitative variable. For e.g. number of deaths in a country per year, prices temperature readings, heights, weights etc.

What is Variable?

Description : What is Variable?

Last Answer : Ans: A measurable quantity which can vary (differ) from one individual to another or one object to another object is called variable. For e.g. height of students, weight of children. It is denoted by the letters of alphabet e.g. x, y, z etc.

Define Dependent Event.

Description : Define Dependent Event.

Last Answer : Ans: If there are two events i.e. A in sample space 1 (S1) and B in sample space 2 (S2) and occurrence or non-occurrence of one event affects the occurrence and nonoccurrence of other event then it is called dependent event.

Define Independent Event.

Description : Define Independent Event.

Last Answer : Ans: If there are two events i.e. A in sample space 1 (S1) and B in sample space 2 (S2) and occurrence or non-occurrence of one event does not affect the occurrence and non-occurrence of other event then it is called independent event.

Define Equally Likely Event.

Description : Define Equally Likely Event.

Last Answer : Ans: If two events A & B have equal chance of occurrence in sample space S then the event will be Equally Likely Event.

Define Not-Mutually Exclusive events.

Description : Define Not-Mutually Exclusive events.

Last Answer : Ans: If two events A & B have some thing common in sample space S then the event will be Not-Mutually exclusive event.

Define Mutually Exclusive events.

Description : Define Mutually Exclusive events.

Last Answer : Ans: If two events A & B have nothing common in sample space S then the event will be mutually exclusive event.

Define Impossible event.

Description : Define Impossible event.

Last Answer : Ans: An event of sample space contains none of the possible outcome is called impossible event and is denoted by Greek letter φ.

Define possible event.

Description : Define possible event.

Last Answer : Ans: An event of sample space contains at least one possible outcome is called possible event.

Define compound event.

Description : Define compound event.

Last Answer : Ans: An event of sample space contains at least two outcomes is called compound event these may be denoted by any letter A to Z.

Define simple event.

Description : Define simple event.

Last Answer : Ans: An event of sample space contains only one outcome is called simple event.

Define an event. What are its types?

Description : Define an event. What are its types?

Last Answer : Ans: A single result of an experiment or any desired sub set of the sample space is called and event and it may be denoted by any letter A to Z. it has two main types (1) Possible event & (2 ... (1) simple event (2) compound event and compound event has one more type which is sure or certain event.

Define Sample Point.

Description : Define Sample Point.

Last Answer : Ans: The elements of the sample space or possible outcome of a given random experiment is called sample point.

Define Sample Space or possible outcomes.

Description : Define Sample Space or possible outcomes.

Last Answer : Ans: All possible outcomes of an experiment are called sample space and is denoted by “S” i.e. in toss of coin the sample space will be two (Head & Tail) & in throwing a die it will be 6 (1, 2, 3, 4, 5, 6)

Define Probability.

Description : Define Probability.

Last Answer : Ans: Probability is the measurement of uncertainty which consists on occurrence or non-occurrence of an event.

Define an experiment/random experiment/trial?

Description : Define an experiment/random experiment/trial?

Last Answer : Ans: In probability, experiment or trial is simply an action in which the result is uncertain or simply uncertain situation in statistics is called Random Experiment (R.E).

Define price relative.

Description : Define price relative.

Last Answer : Ans: Price in current year divided by price of base year and multiplied by 100 is simply called price relative.

Define link relative.

Description : Define link relative.

Last Answer : Ans: Price of current period divided by price of immediate previous period multiplied by 100 is called link relative.

Define Unweighted index number

Description : Define Unweighted index number

Last Answer : Ans: Unweighted index number is an index in which weights are not assigned to an index.

Define weighted index number

Description : Define weighted index number

Last Answer : Ans: Weighted index number is an index in which weights are assigned to that index.

Define Chain Base method.

Description : Define Chain Base method.

Last Answer : Ans: In this method index number is computed in two steps. As a first step, we calculate link relative by dividing current period price/quantity/value by price/quantity/value of immediate ... relative by link relative of immediate previous period of current period and divide this product by 100.

Define Mode with examples.

Description : Define Mode with examples.

Last Answer : Ans: Most repeated value of the given data is called mode for example if X=2, 2, 3, 4, 5, 5, 5, 6, 8, 10. In this data most repeated value is 5 so our mode will be 5.

Define Arithmetic Mean.

Description : Define Arithmetic Mean.

Last Answer : Ans: It is the most commonly used average or measure of the central tendency applicable only in case of quantitative data. Arithmetic mean is also simply called “mean”. Arithmetic mean is defined as: “Arithmetic mean is quotient of sum of the given values and number of the given values”.

Define cumulative frequency distribution.

Description : Define cumulative frequency distribution.

Last Answer : Ans: A table showing the cumulative frequency distribution is called the cumulative frequency distribution or a cumulative frequency distribution is a summary of a set of data showing the frequency (or number) of items less than or equal to the upper class limit of each class.

Define Histogram.

Description : Define Histogram.

Last Answer : Ans: Histogram is a set of adjacent rectangles in which area of each rectangle is proportional to the corresponding class frequency and class size.

Define class mark.

Description : Define class mark.

Last Answer : Ans: The class marks or mid point is the mean of lower and upper class limits or boundaries. So it divides the class into two equal parts. It is obtained by dividing the sum of lower and upper class limit or class ... . For Example: The class mark or mid point of the class 60 - 69 is 60 69/2 = 64.5

Define class interval.

Description : Define class interval.

Last Answer : Ans: The difference between the upper and lower class boundaries (not between class limits) of a class or the difference between two successive mid points is called size of class interval.

Define class limits.

Description : Define class limits.

Last Answer : Ans: The variant values of the classes or groups are called the class limits. The smaller value of the class is called lower class limit and larger value of the class is called upper class limit. ... 19, the smaller value 10 is lower class limit and larger value 19 is called upper class limit.

Define tabulation.

Description : Define tabulation.

Last Answer : Ans: The process of placing classified data into tabular form is known as tabulation. A table is a symmetric arrangement of statistical data in rows and columns. Rows are horizontal arrangements ... vertical arrangements. It may be simple, double or complex depending upon the type of classification.

Define attribute by giving example.

Description : Define attribute by giving example.

Last Answer : Ans: Attribute represents the quality or character. For example color of eyes, type of mangoes, beauty etc.

Define population and sample.

Description : Define population and sample.

Last Answer : Ans: Total group under discussion is called population. For example height of all class students. A part of population which represents the population is called sample.

Define Statistics in your own words.

Description : Define Statistics in your own words.

Last Answer : Ans: Statistics is the science which deals with data. After collection & organization of data, it is further analyzed statistically and interpreted. It is the science of average, counting & probability.

9. Write notes on:(a) Continuous series(b) Discrete series(c) Individual series

Description : 9. Write notes on:(a) Continuous series(b) Discrete series(c) Individual series

Last Answer : 9. Write notes on: (a) Continuous series (b) Discrete series (c) Individual series

A sine wave is ______A) periodic and continuous B) aperiodicand continuous C) periodicand discrete D) aperiodicand discrete

Description : A sine wave is ______ A) periodic and continuous B) aperiodicand continuous C) periodicand discrete D) aperiodicand discrete

Last Answer : periodic and continuous

Mathematically, the functions in Green’s theorem will be a) Continuous derivatives b) Discrete derivatives c) Continuous partial derivatives d) Discrete partial derivatives

Description : Mathematically, the functions in Green’s theorem will be a) Continuous derivatives b) Discrete derivatives c) Continuous partial derivatives d) Discrete partial derivatives

Last Answer : c) Continuous partial derivatives

Using ______ARQ, a sending modem must wait for a return ACK for each sent block before sending the next block. (A) discrete (B) efficient (C) continuous (D) delivered

Description : Using ______ARQ, a sending modem must wait for a return ACK for each sent block before sending the next block. (A) discrete (B) efficient (C) continuous (D) delivered

Last Answer : (A) discrete

Distinguish between continuous valued and discrete valued signals

Description : Distinguish between continuous valued and discrete valued signals

Last Answer : If a signal takes on all possible values on a finite or an infinite range, it is said to be continuous valued signal. If a signal takes on values from a finite set of possible values, it is said to be discrete-valued signal.

Membership function defines the fuzziness in a fuzzy set irrespective of the elements in the set, which are discrete or continuous. A. True B. False

Description : Membership function defines the fuzziness in a fuzzy set irrespective of the elements in the set, which are discrete or continuous. A. True B. False

Last Answer : B. False

Atomic Spectra is an example of a) discrete spectra b) band spectra c) atomic spectra d) continuous spectra

Description : Atomic Spectra is an example of a) discrete spectra b) band spectra c) atomic spectra d) continuous spectra

Last Answer : a) discrete spectra

Molecular spectra is an example of a) continuous spectra b) discrete spectra c) band spectra d) atomic spectra

Description : Molecular spectra is an example of a) continuous spectra b) discrete spectra c) band spectra d) atomic spectra

Last Answer : c) band spectra

Black body radiation spectrum is an example of a) band spectra b) continuous spectra c) discrete spectra d) atomic spectra

Description : Black body radiation spectrum is an example of a) band spectra b) continuous spectra c) discrete spectra d) atomic spectra

Last Answer : b) continuous spectra