PLEASE HELP
An airline is trying two new boarding procedures, Option 1 and Option 2, to load passengers onto their Long Beach (LGB) to San Francisco (SFO) flights. Since
Option 1 has more automation, the airline suspects that the mean Option 1 loading time is less than the mean Option 2 loading time. To see if this is true, the
airline selects a random sample of 285 flights from LGB to SFO using Option 1 and records their loading times. The sample mean is found to
be 17.6 minutes,
with a sample standard deviation of 4.7 minutes. They also select an independent random sample of 220 flights from LGB to SFO using Option 2 and record their
loading times. The sample mean is found to be 18.4 minutes, with sample standard deviation of 3.5 minutes. Since the sample sizes are quite large, it is
assumed that the population standard deviation of the loading times using Option 1 and the loading times using Option 2 can be estimated to be the sample
standard deviation values given above. At the 0.05 level of significance, is there sufficient evidence to support the claim that the mean Option 1 loading time, ₁
, is less than the mean Option 2 loading time, t₂, for the airline's flights from LGB to SFO? Perform a one-tailed test. Then complete the parts below.
Carry your intermediate computations to at least three decimal places. (If necessary, consult a list of formulas.)

I need the null and alternative hypothesis, what type of test statistic to use, test statistic, p-value, can we support the claim that the mean option 1 loading times is less than the mean option 2 loading time for the airlines flights from LGB to SFO.