Requested to be solved using excel please. I have 6 more questions once the below finished I’ll email them.

1. On average, a car arrives at a local Starbucks drive through every 1.07 minutes. The process is believed to follow a Poisson distribution. What is the probability that exactly 33 cars arrive in 1.25 hour(s)?
2. If the probability of a defective light bulb is 0.06, to be 98 % confident, up to how many defective lightbulbs should you expect in a sample of 40 lightbulbs?
3. A quality engineer at Intel is responsible for testing chips before they are shipped to Intel’s customers. Historical data indicates that chips are defective with probability 0.03. The engineer randomly selects 19 chips from a large production batch. What is the probability the engineer will find exactly 6 defective chips?
4. The call center manager at InsuranceCorp is responsible for ensuring customer satisfaction. To this end, she recently implemented a new rating program. At the conclusion of each call, the customer is transferred to an automated survey attendant and asked to indicate whether he was satisfied or disatisfied with the call. During the first 40 days of the new program, the manager determined that 5 % of customers were not satisfied with the results of their call. If the manager checks a random sample of 33 calls, what is the probability that 1 or fewer customers will be dissatisfied with the results of their call?
5. On average, Jimbo’s Luxury Resort receives 6.3 reservation calls every hour (assumed to follow a Poisson distribution). What is the probability that no more than 1 calls are received in 1.25 hour(s)?
6. A hot dog concession at Safeco Field sells an average of 33.2 hot dogs per hour (believed to follow a Poisson Distribution). How many hot dogs should the vendor stock in order to be 93% sure it has enough hot dogs for 2.5 hour(s)?