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:
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Answer:
Hello! answer: y = 40 x = 67
Step-by-step explanation:
63 - 23 = 40 therefore y = 40
63 + 63 = 126 360 - 126 = 234 234 ÷ 2 = 117
67 × 2 = 134 134 - 17 = 117 therefore x = 67 hope that helps!
Sarah has spent 7 first class tickets, and 6 coach tickets that totals for 13 people that took the trip.
$1040 * 7 = $7280
$140 * 6 = $840
$7280 + $840 = $8120 for Sarah's total budget she spent for 7 first class tickets and 6 coach tickets for 13 people that took the trip.
Answer:
7 first class tickets.
6 coach tickets.
Hope this helps!
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</em><em>~ ShadowXReaper069</em>
Answer:
-8/10, -3/16, 3/16
Step-by-step explanation:
Answer:
RQ is equals to RQ
Explanation:
i took the test
