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:
?=91 degrees.
Step-by-step explanation:
There is no x- I'll find ? though.
So, angles in a triangle must equal 180.
180-29-62=89. The last angle in the triangle is 89 degrees.
A straight angle is equal to 180 degrees. ? + 89=180.
180-89=91.
?=91 degrees.
Hope this helped!
The theoretical probability is the probability you'd expect before performing the experiment. So, assuming the die is fair, every outcome has the same probability. Since there are 6 numbers on the die, every number appears, theoretically, with probability 1/6.
The experimental probability is the probability you estimate after performing the experiment. You divide the number of cases a certain outcome happened, and divide by the total number of trials.
In this case, you performed 50 rolls, and the die landed on six 12 times. This means that the experimental probability is 12/50, or 6/25.
of" (and any subsequent words) was ignored because we limit queries to 32 words.
The answer is 523.6 and all you have to do is round it to the nearest hundredth
