<h3><em><u>Rather, they believe that the educational system reinforces and perpetuates social inequalities that arise from differences in class, gender, race, and ethnicity. ... To them, educational systems preserve the status quo and push people of lower status into obedience.</u></em></h3>
<h2><em><u>HOPE</u></em><em><u> </u></em><em><u>IT</u></em><em><u> HELPS</u></em><em><u> YOU</u></em><em><u>.</u></em></h2>
<h2><em><u>PLEASE</u></em><em><u> </u></em><em><u>MARK</u></em><em><u> ME</u></em><em><u> AS</u></em><em><u> BRAINLIEST</u></em><em><u>.</u></em><em><u>☺️</u></em><em><u>☺️</u></em><em><u>☺️</u></em><em><u>☺️</u></em><em><u>☺️</u></em><em><u>✌️</u></em><em><u>✌️</u></em><em><u>✌️</u></em><em><u>✌️</u></em><em><u>✌️</u></em><em><u>✌️</u></em><em><u>❤️</u></em><em><u>❤️</u></em><em><u>❤️</u></em><em><u>❤️</u></em><em><u>❤️</u></em><em><u>❤️</u></em></h2>
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.
To learn more about external validity, refer:
brainly.com/question/28760166
#SPJ4
D logistics and Inventory Control
Answer:
n=coins-(p+q+d) = 69-(14+16+12) =69-42= nickel = 27
Not nickel = 14+16+12= 42
Explanation:
There are different variations in population size. The best reason why the simulation of the sampling distribution is not approximately normal is that The sample size was not sufficiently large.
<h3>What takes place if a sample size is not big enough?
</h3>
- When a sample size taken by a person or a researcher is not big or inadequate for the alpha level and also analyses that one have chosen to do, it will limit the study statistical power.
Due to the above, the ability to know a statistical effect in one's sample if the effect are present in the population is greatly reduces.
See full options below
Which of the following would be the best reason why the simulation of the sampling distribution is not approximately normal?
A The samples were not selected at random.
B The sample size was not sufficiently large.
с The population distribution was approximately normal.
D The samples were selected without replacement.
E The sample means were less than the population mean.
Previous question
Learn more about population size from
brainly.com/question/1279360