If i drive 439.92 miles on 15.6 gallons of gas, how many miles could i drive on 39.7 gallons of gas?
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The standard deviation (SD) of a sample proportion obtained when the sample size is 1,600 is equal to 0.0121.
<h3>What is a sample proportion?</h3>A sample proportion can be defined as the proportion of individuals in a sample that have a specified characteristic or trait.
Mathematically, sample proportion can be calculated by using this formula:
Where:
- x represent the number of individuals with a specified characteristic.
- n represent the total number of individuals in a sample.
In Mathematics, the standard deviation (SD) of a sample proportion obtained when the sample size is 1,600 can be calculated by using this formula:
Standard deviation (SD) = √(p(1 - p)/n)
Substituting the given parameters into the formula, we have;
Standard deviation (SD) = √(0.37(1 - 0.37)/1,600)
Standard deviation (SD) = √(0.37(0.63)/1,600)
Standard deviation (SD) = √(0.2331)/1,600)
Standard deviation (SD) = √0.0001457
Standard deviation (SD) = 0.0121.
Read more on standard deviation here: brainly.com/question/14467769
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Answer:
1.02% probability of spending 0 dollars on coffee over the course of a five day week
7.68% probability of spending 3 dollars on coffee over the course of a five day week
23.04% probability of spending 6 dollars on coffee over the course of a five day week
34.56% probability of spending 9 dollars on coffee over the course of a five day week
25.92% probability of spending 12 dollars on coffee over the course of a five day week
7.78% probability of spending 12 dollars on coffee over the course of a five day week
Step-by-step explanation:
For each day, there are only two possible outcomes. Either the subway is on time, or it is not. Each day, the probability of the train being on time is independent from other days. So we use the binomial probability distribution to solve this problem.
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.
In which is the number of different combinations of x objects from a set of n elements, given by the following formula.
And p is the probability of X happening.
In this problem we have that:
The probability that the subway is delayed is 40%. 100-40 = 60% of the train being on time, so
The week has 5 days, so
She spends 3 dollars on coffee each day the train is on time.
Probabability that she spends 0 dollars on coffee:
This is the probability of the train being late all 5 days, so it is P(X = 0).
1.02% probability of spending 0 dollars on coffee over the course of a five day week
Probabability that she spends 3 dollars on coffee:
This is the probability of the train being late for 4 days and on time for 1, so it is P(X = 1).
7.68% probability of spending 3 dollars on coffee over the course of a five day week
Probabability that she spends 6 dollars on coffee:
This is the probability of the train being late for 3 days and on time for 2, so it is P(X = 2).
23.04% probability of spending 6 dollars on coffee over the course of a five day week
Probabability that she spends 9 dollars on coffee:
This is the probability of the train being late for 2 days and on time for 3, so it is P(X = 3).
34.56% probability of spending 9 dollars on coffee over the course of a five day week
Probabability that she spends 12 dollars on coffee:
This is the probability of the train being late for 1 day and on time for 4, so it is P(X = 4).
25.92% probability of spending 12 dollars on coffee over the course of a five day week
Probabability that she spends 15 dollars on coffee:
Probability that the subway is on time all days of the week, so .
7.78% probability of spending 12 dollars on coffee over the course of a five day week