Question 1 suppose wed like to use hypothesis testing

Question 1. Suppose we’d like to use hypothesis testing to shed light on this question. We’ve
written down an alternative hypothesis below. What is a reasonable null hypothesis?
Question 2. What’s a good test statistic for this hypothesis test?
Question 3. Write a function called landing_test_statistic . It should take two arguments:
an "x" location and a "y" location (both numbers). It should return the value of your test statistic
for a landing at those coordinates.
Question 4. The next three cells compute a P-value using your test statistic. Describe the test
procedure in words. Is there a simulation involved? If so, what is being simulated? If not, why
not? Where are we getting the data from? What kind of calculations are being performed? How
are we calculating our p-value?
Hint: Think about what a simulation actually consists of.
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In [15]: observed_test_stat = landing_test_statistic(
landing_spot . item( 0 ),
landing_spot . item( 1 ))
observed_test_stat
Out[15]: 86.31440320131978
In [16]: null_stats = make_array()
repetitions = ordinary_landing_spots . num_rows
for i in np . arange(repetitions):
null_stat = landing_test_statistic(
ordinary_landing_spots . column( ' x ' ) . item(i),
ordinary_landing_spots . column( ' y ' ) . item(i))
null_stats = np . append(null_stats, null_stat)
null_stats
Out[16]: array([ 7.0373003 , 37.04323884, 28.24132651, ..., 20.84023432,
32.48926398, 23.88691421])
In [17]: p_value = np . count_nonzero(null_stats >= observed_test_stat) / len (null_stats)
p_value
Out[17]: 0.012727272727272728