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
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