Lila is a university biology professor. She won't be teaching next semester; instead, she will use her time in South America to research the disease traits of mosquitoes. During her leave of absence, she will be able to learn new teaching techniques. This demonstrates the idea of a (n) <u>sabbatical</u>.
Sabbaticals are periods of time off from employment. The Biblical custom of shmita (a sabbatical year), which is tied to agriculture, provides the basis for the idea of the sabbatical. Every seven years, Jews in the Land of Israel are required to take a year off from working the fields, according to Leviticus 25. Many universities and other institutional employers of scientists, doctors, and academics now provide the opportunity to qualify for paid sabbatical as an employee benefit, known as sabbatical leave, starting with Harvard in 1880. Today's academic sabbaticals often free the grantee from their regular teaching duties and departmental responsibilities, yet research work is nevertheless anticipated to continue, if not accelerate, during their absence. Academic breaks can be either a whole academic year or a semester-long break.
The term "sabbatical" has also evolved to refer to an extended, intentional career pause. According to a Society for Human Resource Management poll, non-academic sabbaticals have increased in popularity in the twenty-first century. There aren't many conventions and standards governing non-academic or professional sabbaticals. They may be paid or unpaid, related to one's job or self-directed, and may last anywhere from a few weeks to more than a year.
Learn more about 'sabbatical leave' here:
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Chinese characters use logographic script
This means that is is Difficult
Explanation:
refers to better conditions for farm workers
Answer:
The response to the question is a discrete random variable.
Explanation:
By definition of a discrete random variable we infer that the response can only take certain known values but the response shall be completely random. As an example when we toss a fair coin the out comes are discrete as only either head or tail is possible and the outcome is random meaning we cannot predict the outcome before hand.
Similarly an continuous random variable takes any value in a set and there are infinitely many possible values it can take. For example if we choose any real number between 1 and 10. Since the answers are infinitely many in number and are completely random.
Now in our survey we can infer that the responses shall be either "yes I smoked last week" or "No i didn't smoke last week". Hence the variables are discrete and random.
