Answer:
For close to 50 years, educators and politicians from classrooms to the Oval Office have stressed the importance of graduating students who are skilled critical thinkers.
Content that once had to be drilled into students’ heads is now just a phone swipe away, but the ability to make sense of that information requires thinking critically about it. Similarly, our democracy is today imperiled not by lack of access to data and opinions about the most important issues of the day, but rather by our inability to sort the true from the fake (or hopelessly biased).
We have certainly made progress in critical-thinking education over the last five decades. Courses dedicated to the subject can be found in the catalogs of many colleges and universities, while the latest generation of K-12 academic standards emphasize not just content but also the skills necessary to think critically about content taught in English, math, science and social studies classes.
Explanation:
Yea your correct I believe... hardly understood what it meant when I read it so I could be wrongT.T
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.
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Answer: well Mr hoppie seems like a good person
Explanation: HES GETTING PIZZAAAAAAAAA
From the options given, the only option which would result on having a reduced error margin, is to increase the sample size.
<u>Recall</u><u> </u><u>:</u><u> </u>
<em>Margin of Error</em> = Zcritical × σ/√n
- Increasing the mean would have no impact on the margin of error as it is not a part of the factors which affects the margin of error value.
- Increasing the standard deviation, which is the Numerator will result in an increased margin of error value.
- By raising the confidence level, the critical value of Z will increase, hence widening the margin of error.
- The sample size, n being the denominator, would reduce the value of error margin.
Hence, only the sample size will cause a decrease in the margin of error of the interval.
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