Answer:
a. Job analysis
Explanation:
Job analysis in human resources(HR) entails identifying the responsibilities , duties and functions associated with a given job role. Certain criteria such as relevant qualifications needed to perform better on the job and conditions under which the work will be performed are also part of Job analysis.
In job analysis, what is quite important is that it is the job that is assessed and not the person filling the job role whilst job analysis data may be retrieved by human resources(HR) from the person currently on the job role . Examples of areas where job analysis may be applied in an organization are in risk management, career and succession plan, recruitment and selection etc.
Answer:
a. C. The experiment consists of n identical, independent trials, where there are only two possible outcomes, S (for Success) and F (for Failure). The probability of S remains the same from trial to trial. The variable x is the number of S's in n trials.
b. A. For any young adult, the probability that they own a mobile phone with internet access is p.
c. A. In a random sample of 500 young adults Upper E left parenthesis x right parenthesis E(x) will always be the number of young people surveyed that will own mobile phones with internet access.
Explanation:
A binomial random variable is mostly used to show the number of successful results in a repeated number of binomial experiments. Thus, we can infer that the variable 'x' has the properties of a binomial random variable. The expected value of the variable 'x' is equivalent to the probability-weighted mean of all possible values of x.
