Answer:
Step-by-step explanation:
We have
to the third decimal is 2.930 (i might be wrong on the rounding part)
Answer:
16
Step-by-step explanation:
4x2=8
8x2=16
Answer:
a. μ = 25
b. σ = 16.496
Step-by-step explanation:
Note: See the attached excel for the calculation of Mean and Deviation from Mean.
Let: N = Number of observation = 9
F = Frequency
Therefore, we have:
a. Compute the expected number of arrivals per minute. μ=___( please type as an integer or a decimal)
From the attached excel file, we have:
Total F = 200
Therefore, we have:
μ = Mean = Total of F / (N - 1) = 200 / (9 - 1) = 25
b. Compute the standard deviation σ=___(please round to three decimal places as needed)
From the attached excel file, we have:
Total (F - μ)^2 = 2,177
σ = Standard deviation = (Total of (F - μ)^2 / (N - 1))^0.5 = (2,177 / (9 - 1))^0.5 = 16.496
Answer:
x<=(less or equal to) 1/20
Step-by-step explanation:
Answer:
1.) 107 observations
2.) the best veterinary hospital is likely to see the most severe cases with larger number of enteroliths
3.) A. sample size is too small for the central limit theorem to apply.
4.) The test requires that the sample mean is normally distributed; this requires that either the population distribution is Normal or the sample size exceeds 30.
5.) a Type I error
Step-by-step explanation:
n = [(Zcritical * σ) ÷ E]²
n = sample size
Zcritical at 99% = 2.58
E = error margin = 0.5
Standard deviation, σ = 2
n = [(2.58 * 2) ÷ 0.5]²
n = [5.16 ÷ 0.5]²
n = (10.32)²
n = 106.5024
n = 107 observations
B.) The thought or decision that the best veterinary hospital is likely to see the most severe cases with larger number of enteroliths will introduce a bias in the study.
C.) For central limit theorem ; sample size must be considerably large ; at least sample size, n ≥ 30
D.) Distribution must be normal it approximately normal, obeying the central limit theorem ; sample size must be considerably large ; at least sample size, n ≥ 30
