Using the normal distribution in an applied problem

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A company that produces laundry detergent has a presentation of 500g detergent bags. The process of sending the pens is controlled and the weight per bag follows approximately a normal distribution with a measurement of 510gr and the standard deviation of 10gr and certain of the other bags.

  • a) Suppose you take 10 bags of detergent. What is the probability that the most one of those bags has a content less than 490gr?

  • b) The company delivers 100 bags to a store. How do you distribute the number of bags with less than 490? What is the probability that more than 2 bags have been filled with less than 490gr? If approximately distribution is necessary to answer the question.

My try:

  • a) We got $X$~$N(510, 10)$ so if we take the transformation $Z = \frac{X-u}{\sigma^2}$ then we got $Z$~$N(0, 1)$ which is easier to work with. But then I don´t know how to calculate the probability asked.

  • b) For be I belive that we got to use the moment generating function: $M_X(t)=e^{ut + \frac{\sigma^2t^2}{2}}$ but clearly in ordener to answer this question I need a)