We use the chi-square distribution when making inferences about a single population variance.
Short Description of Chi-Square Distribution
The continuous probability distribution known as the chi-square distribution. The number of degrees of freedom (k) a chi-square distribution has determines its shape. This type of sampling distribution has a variance of 2k and a mean equal to its number of degrees of freedom (k). The range is of a chi-square distribution is from 0 to ∞.
Variance plays a key role in the analysis of risk and uncertainty. The sample variance, an unbiased estimator of population variance, is expressed by the following formula of core statistic for a sample size 'n' and Y' as the sample mean:
S² = ∑(Yₓ - Y') / (n-1)
The formula, (n-1)S² / σ² has the central chi-square distribution as χ²ₙ₋₁. Here (n-1) represents the degrees of freedom.
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Answer:
18 square units
Step-by-step explanation:
The distance from -2 to 7 is 9, which is the base of the rectangle. The distance from -2 to -4 is 2, which is the height of the rectangle. The formula for area of a rectangle is A=bh. 9*2=18. 18 square units is your answer.
Answer:
2) is addition property
3) is multiplication property
Step-by-step explanation:
Answer:
16 bottles
Step-by-step explanation:
you can buy 16 bottles
