Answer:
how tho. people I summon y'all lol
Answer:
Mean = 35
Variance = 291.7
Step-by-step explanation:
Data provided in the question:
X : 1, 2, 3, 4, 5, 6
All the data are independent
Thus,
The mean for this case will be given as:
Mean, E[X] = 
or
E[X] = 
or
E[X] = 3.5
For 10 days, Mean = 3.5 × 10 = 35
And,
variance = E[X²] - ( E[X] )²
Now, for this case of independent value,
E[X²] = 
or
E[X²] = 
or
E[X²] = 
or
E[X²] = 15.167
Therefore,
variance = E[X²] - ( E[X] )²
or
variance = 15.167 - 3.5²
or
Variance = 2.917
For 10 days = Variance × Days²
= 2.917 × 10²
= 291.7
Answer:
We are 95% sure that the true proportion of students that supports a fee increase is between 0.75 and 0.85.
Step-by-step explanation:
The interpretation of a x% confidence interval of proportions being between a and b is that:
We are x% sure that the true proportion of the population is between a and b.
If the 95% confidence interval estimating the proportion of students supporting the fee increase is (0.75; 0.85), what conclusion can be drawn
We are 95% sure that the true proportion of students that supports a fee increase is between 0.75 and 0.85.
OK so if they ring at 6AM together then they would ring like this from now on:
ANSWER: they ring together next at 9:20
Bell 1: 6:25 Bell 2: 6:40
Bell 1: 6:50 Bell 2: 7:20
Bell 1: 7:15 Bell 2: 8:00
Bell 1: 7:40 Bell 2: 8:40
Bell 1: 8:05 Bell 2: 9:20
Bell 1: 8:30 Bell 2: 10:00
Bell 1: 8:55 Bell 2: 10:40
Bell 1: 9:20 Bell 2: 11:20