To find the mean number of ants, we use the formula:
μ=∑i=1NxiN \mu = \frac{\sum_{i=1}^N x_i}{N} μ=N∑i=1Nxi
where N N N is the number of observations and xi x_i xi are the individual observations. For our data:
μ=2728=34.0 \mu = \frac{272}{8} = 34.0 μ=8272=34.0
Thus, the mean number of ants is μ=34.0 \mu = 34.0 μ=34.0.
The variance is calculated using the formula:
σ2=∑(xi−μ)2n−1 \sigma^2 = \frac{\sum (x_i - \mu)^2}{n-1} σ2=n−1∑(xi−μ)2
Substituting the values, we find:
σ2=214.0 \sigma^2 = 214.0 σ2=214.0
Therefore, the variance of the number of ants is σ2=214.0 \sigma^2 = 214.0 σ2=214.0.
The standard deviation is the square root of the variance:
σ=214.0≈14.63 \sigma = \sqrt{214.0} \approx 14.63 σ=214.0≈14.63
Thus, the standard deviation of the number of ants is σ≈14.63 \sigma \approx 14.63 σ≈14.63.
The mean number of ants is μ=34.0 \mu = 34.0 μ=34.0, the variance is σ2=214.0 \sigma^2 = 214.0 σ2=214.0, and the standard deviation is σ≈14.63 \sigma \approx 14.63 σ≈14.63.
μ=34.0,σ2=214.0,σ≈14.63 \boxed{\mu = 34.0, \sigma^2 = 214.0, \sigma \approx 14.63} μ=34.0,σ2=214.0,σ≈14.63
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