Applied Statistics Questions And Answers

1⟩ Applied Statistics Job Interview Preparation Questions Part 2

What are the different types of story that is defined in sociology?

What are the main functions of formalism?

How to manage the problems occurring in contemporary culture?

What is hegemony?

What is the difference between adaptive and real culture?

What is the theory of Non Symbolic interactionism?

What are the different agencies of socializations?

What is the difference between appropriate and inappropriate behavior?

What are the different principles involved in natural science?

What are cultural traits?

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2⟩ Applied Statistics Job Interview Preparation Questions Part 1

1. What are the factors that changed the role of women in today's society?

2. What are the factors involved in influencing the crime?

3. What is the purpose of interpersonal communication?

4. What are the different types of research possible?

5. What is the difference between subculture and counterculture?

6. What kind of impact is being given by social devaluation?

7. What are the different components of culture?

8. How social relations affect the individual relationship with one another?

9. What are the disadvantages of living in counter culture?

10. What are the disadvantages of having too much freedom?

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3⟩ Explain bayesian?

Bayesians condition on the data actually observed and consider the probability distribution on the hypotheses.

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4⟩ When you are creating a statistical model how do you prevent over-fitting?

cross-validation.

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5⟩ Applied Statistics Job Interview Preparation Questions Part 4

How psychology different from sociology?

What are the traits involved in social reforms?

What are the different components that are required to create a society's culture?

What is the difference between social change and development?

What are the different stereotypes used to define group relations?

What are the laws required by civilization?

Define anticipatory socialization?

What is the "conflict theory" in sociology?

How does art and design puts an affect on different cultures?

What are the various branches that exist in sociology?

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Median is described as the numeric value separating the higher half of a sample, a population, or a probability distribution, from the lower half. The median of a finite list of numbers can be found by arranging all the observations from lowest value to highest value and picking the middle one

median(x) % return 3.

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7⟩ Applied Statistics Job Interview Preparation Questions Part 5

What is meant by human security?

What is Max Weber theory?

What does the theory describe?

What is the term social stratification defines?

How egotistic suicide helps the society in getting rid of the people who are not willing to live?

How many relationship that exist within a culture?

What are the problems faced by people due to unemployment?

What is the theory of dual burden?

What are the effective measures taken towards racial discrimination?

What are the indicators used to show the social development?

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8⟩ Explain quartile?

► first quartile (25th percentile)

► second quartile (50th percentile)

► third quartile (75th percentile)

► kth percentile

► prctile(x, 25) % 25th percentile, return 2.25

► prctile(x, 50) % 50th percentile, return 3, i.e. median

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9⟩ Explain mode?

The mode of a data sample is the element that occurs most often in the collection.

x=[1 2 3 3 3 4 4]

mode(x) % return 3, happen most

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10⟩ Give example of p-value?

Suppose that the experimental results show the coin turning up heads 14 times out of 20 total flips

► null hypothesis (H0): fair coin;

► observation O: 14 heads out of 20 flips; and

► p-value of observation O given H0 = Prob(≥ 14 heads or ≥ 14 tails) = 0.115.

The calculated p-value exceeds 0.05, so the observation is consistent with the null hypothesis - that the observed result of 14 heads out of 20 flips can be ascribed to chance alone - as it falls within the range of what would happen 95% of the time were this in fact the case. In our example, we fail to reject the null hypothesis at the 5% level. Although the coin did not fall evenly, the deviation from expected outcome is small enough to be reported as being "not statistically significant at the 5% level".

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11⟩ Applied Statistics Job Interview Preparation Questions Part 3

What are the different types of deviance that exist?

What is the difference between tertiary and secondary deviance?

What are the different areas of sociology?

What is the difference between urban and rural community?

How racism can be abolished in the society?

How in different ways patriotism can be shown?

What are the different types of agents present in socialization?

What is the meaning of incest?

What is the function of incest?

How cultural diversity can be reduced around different culture?

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12⟩ Explain skewness?

Skewness is a measure of the asymmetry of the data around the sample mean. If skewness is negative, the data are spread out more to the left of the mean than to the right. If skewness is positive, the data are spread out more to the right.

Skewness(x) % return-0.5954

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13⟩ Explain p-value?

In statistical significance testing, the p-value is the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true. If the p-value is less than 0.05 or 0.01, corresponding respectively to a 5% or 1% chance of rejecting the null hypothesis when it is true.

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14⟩ Explain sampling?

Sampling is that part of statistical practice concerned with the selection of an unbiased or random subset of individual observations within a population of individuals intended to yield some knowledge about the population of concern.

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15⟩ Explain likelihood?

The probability of some observed outcomes given a set of parameter values is regarded as the likelihood of the set of parameter values given the observed outcomes.

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16⟩ Explain frequentist?

Frequentists condition on a hypothesis of choice and consider the probability distribution on the data, whether observed or not.

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17⟩ Explain kurtosis?

Kurtosis is a measure of how outlier-prone a distribution is.

kurtosis(x) % return2.3594

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18⟩ Explain moment?

Quantitative measure of the shape of a set of points.

moment(x, 2); %return second moment

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19⟩ Explain variance?

Describes how far values lie from the mean

var(x) %return 1.1429

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20⟩ Explain covariance?

Measure of how much two variables change together

y2=[1 3 4 5 6 7 8]

cov(x,y2) %return 2*2 matrix, diagonal represents variance

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Applied Statistics

Home Education and Science Applied Statistics

32 Applied Statistics Questions And Answers

1⟩ Applied Statistics Job Interview Preparation Questions Part 2

2⟩ Applied Statistics Job Interview Preparation Questions Part 1

3⟩ Explain bayesian?

4⟩ When you are creating a statistical model how do you prevent over-fitting?

5⟩ Applied Statistics Job Interview Preparation Questions Part 4

6⟩ Explain median?

7⟩ Applied Statistics Job Interview Preparation Questions Part 5

8⟩ Explain quartile?

9⟩ Explain mode?

10⟩ Give example of p-value?

11⟩ Applied Statistics Job Interview Preparation Questions Part 3

12⟩ Explain skewness?

13⟩ Explain p-value?

14⟩ Explain sampling?

15⟩ Explain likelihood?

16⟩ Explain frequentist?

17⟩ Explain kurtosis?

18⟩ Explain moment?

19⟩ Explain variance?

20⟩ Explain covariance?

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Applied Statistics

Home Education and Science Applied Statistics

32 Applied Statistics Questions And Answers

1⟩ Applied Statistics Job Interview Preparation Questions Part 2

2⟩ Applied Statistics Job Interview Preparation Questions Part 1

3⟩ Explain bayesian?

4⟩ When you are creating a statistical model how do you prevent over-fitting?

5⟩ Applied Statistics Job Interview Preparation Questions Part 4

6⟩ Explain median?

7⟩ Applied Statistics Job Interview Preparation Questions Part 5

8⟩ Explain quartile?

9⟩ Explain mode?

10⟩ Give example of p-value?

11⟩ Applied Statistics Job Interview Preparation Questions Part 3

12⟩ Explain skewness?

13⟩ Explain p-value?

14⟩ Explain sampling?

15⟩ Explain likelihood?

16⟩ Explain frequentist?

17⟩ Explain kurtosis?

18⟩ Explain moment?

19⟩ Explain variance?

20⟩ Explain covariance?

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