The ability to generalize a study's results to different circumstances is known as external validity that suffers from 7 types of threats.
<h3>What are the threats to External Validity?</h3>
There are 7 major threats to external validity.
- The first threat is sampling bias, in which a sample is not representative of the population.
- The second threat is history, where an unrelated incident can affect the results.
- The third threat is observer bias, in which the traits or actions of the experimenter unintentionally affect the results, resulting in bias and other demand features.
- The fourth threat is the Hawthorne effect, which describes the propensity for individuals to alter their behaviour merely because they are aware that they are being observed.
- The fifth threat is the Testing Effect, in which the results are impacted by whether a test is administered before or after another.
- The sixth threat is the aptitude-treatment, which involves the interaction of individual and group factors to affect the dependent variable.
- The environment, time of day, location, researcher traits, and other variables that restrict the generalizability of the results are included in the seventh threat.
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Answer:
The probability of being a male and a satisfied employee is 27%
Explanation:
The probability of being a male P(m) = 60% = 60/100 = 0.6
The probability of being a satisfied employee P(s) = 45% = 45/100 = 0.45
Mathematically, the probability of being a male and satisfied = Probability of being a male * Probability of being a satisfied employee = P(m) * P(s) = 0.6 * 0.45 = 0.27
or simply 27/100 which is same as 27%
If you add it it'll become -3x^2+5x+7
