设 X∼N(μ,σ12),Y∼N(μ,σ22)X \sim N\left( {\mu ,{\sigma }_{1}^{2}}\right) ,Y \sim N\left( {\mu ,{\sigma }_{2}^{2}}\right)X∼N(μ,σ12),Y∼N(μ,σ22) ,这两个概率密度曲线 (如图),下列说法正确的是 ( ) A. σ1<σ2{\sigma }_{1} < {\sigma }_{2}σ1<σ2B. σ1=σ2{\sigma }_{1} = {\sigma }_{2}σ1=σ2C. 对任意实数 m>μ,P(X≤m)>P(Y≤m)m > \mu ,P\left( {X \leq m}\right) > P\left( {Y \leq m}\right)m>μ,P(X≤m)>P(Y≤m)D. 若 P(μ−k1σ1≤X≤μ+k1σ1)>P(μ−k2σ2≤Y≤μ+k2σ2),k1,k2∈R+P\left( {\mu - {k}_{1}{\sigma }_{1} \leq X \leq \mu + {k}_{1}{\sigma }_{1}}\right) > P\left( {\mu - {k}_{2}{\sigma }_{2} \leq Y \leq \mu + {k}_{2}{\sigma }_{2}}\right) ,k_1,k_2 \in {R}^{ + }P(μ−k1σ1≤X≤μ+k1σ1)>P(μ−k2σ2≤Y≤μ+k2σ2),k1,k2∈R+ ,则 k1<k2{k}_{1} < {k}_{2}k1<k2