1. 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?
2. 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?
3. 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?
4. 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?
5. 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?
Bayesians condition on the data actually observed and consider the probability distribution on the hypotheses.
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.
Frequentists condition on a hypothesis of choice and consider the probability distribution on the data, whether observed or not.
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.
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.
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".
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
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.
► 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
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
Describes how far values lie from the mean
var(x) %return 1.1429
Kurtosis is a measure of how outlier-prone a distribution is.
kurtosis(x) % return2.3594
Quantitative measure of the shape of a set of points.
moment(x, 2); %return second moment
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
21. Explain one sample t-test?
T-test is any statistical hypothesis test in which the test statistic follows a Student's t distribution if the null hypothesis is supported.
[h,p,ci] = ttest(y2,0)% return 1 0.0018 ci =2.6280 7.0863
22. Explain alternative hypothesis?
The Alternative hypothesis (denoted by H1 ) is the statement that must be true if the null hypothesis is false.
There are four sampling methods:
► Simple Random (purely random),
► Systematic( every kth member of population),
► Cluster (population divided into groups or clusters)
► Stratified (divided by exclusive groups or strata, sample from each group) samplings.
24. Explain significance level?
The probability of rejecting the null hypothesis when it is called
the significance level α , and very common choices are
α = 0.05 and α = 0.01
25. Explain example of Central Limit Theorem?
Given that the population of men has normally distributed weights, with a mean of 173 lb and a standard deviation of 30 lb, find the probability that
a. if 1 man is randomly selected, his weight is greater than 180 lb.
b. if 36 different men are randomly selected, their mean weight is greater that 180 lb.
Solution: a) z = (x - μ)/ σ = (180-173)/30 = 0.23
For normal distribution P(Z>0.23) = 0.4090
b) σ x̄ = σ/√n = 20/√ 36 = 5
z= (180-173)/5 = 1.40
P(Z>1.4) = 0.0808
