That really depends on the specific circumstances - including the level of confidence you want to achieve.
Yes, but that begs the question: how large should the sample size be?
A large sample will reduce the effects of random variations.
Span the full spectrum of a population's genetic variation. <apex> Reflects the genetic variation of a population...
A sample should be representative of the population it is drawn from, have enough data points to provide reliable conclusions, and be selected randomly or systematically to minimize bias. Additionally, samples should be sufficiently large to ensure statistical significance.
span the full spectrum of a population's genetic variation.-apexI got you guysssss.feel free to hmu on snap king.youssof ( need knew friends ;--;)
A disadvantage to a large sample size can skew the numbers. It is better to have sample sizes that are appropriate based on the data.
large
A random sample should be taken from an entire population.
The sample must be large and random.
The larger the sample of data collected leads to a more accurate conclusion.
Any large random sample from a group of people will be representative of the entire group.TrueFalse
1) What conditions are required to form a valid large-sample confidence interval for µ?