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.
Learn more about chi-square distribution here:
brainly.com/question/13857280
#SPJ1
Answer:
y = 10 is the true number sequence
Step-by-step explanation:
y + 6 = 16
y = 16 - 6
y = 10
Answer:
16/6 = 2 4/6 = 2 2/3
Step-by-step explanation:
the answer is two and two thirds assuming that this is a fraction :)
The expression 4x^2represents 4.x.x
<span>0.00041649312 on a calc unless u wanna simplify :)
hope i helped best of luck :)
</span>
