A lot of five identical batteries is life tested. The probability assignment is assumed to be $$ P(A)=\int_A\ (1/\lambda) * e^{-x/\lambda}dx\ $$
for any event A$\sqsubseteq[0,\infty)$, where $\lambda$>0 is a known constant. Thus the probability that a battery fails after time t is given by $$ P(t,\infty) = \int_t^\infty (1/\lambda) * e^{-x/\lambda}dx\,, t\geq 0 $$
If the times to failure of the batteries are independent, what is the probability that at least one battery will be operating after $t_0$ hours?
My Way of Solving This Problem: $$ $$ Let F be the number of batteries that fail after time $t_0$ & n=5 is the number of batteries in the lot. Then we are interested in $P(F\leq4)=P$(at least one battery did not fail after time $t_0$). So I used a binomial distribution where success was described to be a battery failing after time $t_0$. $$ P(F\leq4)=1-P(F=5) $$ $$ =1-{5 \choose 5}p^5*\bigl(1-p\bigr)^0 $$ $$ =1-p^5 $$ $$ =1-\bigl(\int_{t_0}^\infty (1/\lambda) * e^{-x/\lambda}dx\bigr)^5 $$ $$ =1-e^{-5t_0/\lambda} $$
I have been told that this answer is wrong but I do not understand why my logic is flawed. Please help me find out why my logic is flawed.