The number of six samples that could belong to the same population is equivalent to six.
Option A is the correct answer.
<h3>What is the standard deviation?</h3>
The standard deviation is the indicator to determine the variation between the set of amounts as given in the statistical information.
The population is referred to as the entire information being prescribed in data relating to any concept. If the number of samples in a population is 10, then the samples in the same population will also be 10. This shows the number of samples is always equal to the samples in the same population.
Therefore, the six samples belong to the same population comprising of six samples having varied standard deviations.
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Aspiration can be positive since it allows motivation. For example, the aspiration of one day owning a car motivates a person to work hard. On the other hand, this can have a negative effect when the aspirations are are set too high and not met for instance, someone aspiring a goal of becoming a millionaire was not met. This could affect the person by causing them to loose all motivation and potentially loose themselves and other aspirations.
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Answer:
everyone hes left her or him
Explanation:
The citation that is formatted correctly using MLA's guidelines is;
Barrett, Leigh. "Snow Removal Woes." Hartford Times-Dispatch 12 January 2012: B12. Print.
MLA simply means Modern Language Association. This is a format that states that when citing a newspaper article, we must write in the following order;
- Write the author's last name.
- Write his first name
- Write the title of the article.
- Write the newspaper title.
- Write the name of the city.
- Write the date and month and year of publication, and print.
The only option that follows this MLA format guidelines correctly is;
"Barrett, Leigh. 'Snow Removal Woes.' Hartford Times-Dispatch 12 January 2012: B12. Print.".
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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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