C) All integers where n is greater than or equal to 1
Sampling errorThe natural discrepancy, or amount of error, between a sample statistic and its corresponding population parameter.distribution of sample means<span>The collection of sample means for all of the possible random samples of a particular size (n) that can be obtained from a population.</span>sampling distributionA distribution of statistics obtained by selecting all of the possible samples of a specific size from a population.central limit theorem<span>For any population with mean μ and standard deviation σ, the distribution of sample means for sample size n will have a mean of μ and a standard deviation of σ/√n and will approach a normal distribution as n approaches infinity.</span><span>expected value of M</span>The mean of the distribution of sample means is equal to the mean of the population of scores, μ, and is called this.<span>standard error of M</span><span>The standard deviation for the distribution of sample means. Identified by the symbol σ˯M. This standard error provides a measure of how much distance is expected on average between a sample mean (M) and the population mean (μ).</span>law of large numbers<span>States that the larger the sample size (n), the more probable it is that the sample mean is close to the population mean.</span>
Answer:
= 8√15
Step-by-step explanation:
Steps
2√3 x 4√5
Apply radical rule: √a√b=√ab.
√3 √5 = √3x 5
=2√3x 5 x 4
Multiply the numbers: 3 x 5= 15
=2√15 x 4
Multiply the numbers: 2 x 4 =8
= 8√15
2√3 x 4√5 = 8√15 (Decimal: 30.98386..)
answer: in standard form it is 339
Answer:
The left side would point down (quadrant 3)
Step-by-step explanation:
Since the polynomial is negative, the function would point downwards.
