Explain what is wrong in each of the following statements. (a) For large sample size n, the distribution of observed values will be approximately normal. (b) The 68-95-99.7 rule says that a sample mean x¯ should be within µ ± 2( √σ n ) about 95% of the time. (c) The central limit theorem states that for large n, the parameter µ is approximately normal.