Answer:
I already did
Step-by-step explanation:
Answer:
30/1000
Step-by-step explanation:
red has a chance of 3/10
purple has a chance of 2/10
yellow has a chance of 5/10
for probability, multiply the denominators together, and the numerators together
3*2*5 = 30
10*10*10 = 1000
So the probability of picking red, then purple, and then yellow with replacement is 30 of 1000
Hope this helps!
Answer:0.614
Step-by-step explanation:
Given
Probability he will miss flight if it rains=0.06
Probability he will miss flight it does not rain=0.01
Given the probability of rain=0.21
Therefore Probability that it will not rain=1-0.21=0.79
Probability that he will miss the flight 
P(actual raining and he missed the flight| he miss the flight)

Answer:
B
Step-by-step explanation:
since x is GREATER than -25, the shaded part has to be on the right of -25
Answer:
a) Null and alternative hypothesis:

b) A Type I error is made when a true null hypothesis is rejected. In this case, it would mean a conclusion that the proportion is significantly bigger than 10%, when in fact it is not.
c) The consequences would be that they would be more optimistic than they should about the result of the investment, expecting a proportion of students that is bigger than the true population proportion.
d) A Type II error is made when a false null hypothesis is failed to be rejected. This would mean that, although the proportion is significantly bigger than 10%, there is no enough evidence and it is concluded erroneously that the proportion is not significantly bigger than 10%
e) The consequences would be that the investment may not be made, even when the results would have been more positive than expected from the conclusion of the hypothesis test.
Step-by-step explanation:
a) The hypothesis should be carried to test if the proportion of students that would eat there at least once a week is significantly higher than 10%.
Then, the alternative or spectulative hypothesis will state this claim: that the population proportion is significantly bigger than 10%.
On the contrary, the null hypothesis will state that this proportion is not significantly higher than 10%.
This can be written as:
