Answer:
37 and -18
Step-by-step explanation:
Let one number be x and other y
1 x + 1 y = 19 .............1
1 x -1 y = 55 .............2
Eliminate y
multiply (1)by 1
Multiply (2) by 1
1 x 1 y = 19
1 x + -1 y = 55
Add the two equations
2 x = 74
/ 2
x = 37
plug value of x in (1)
1 x + 1 y = 19
37 + 1 y = 19
1 y = 19 -37
1 y = -18
y = -18
37 and -18
The two numbers, which sum to 19 and have a difference of 55, are 37 and -18.
The sum and difference of two numbers can provide the solution to the problem. In this case, the sum of the two numbers is 19 and the difference is 55. To solve this, we start by setting up two equations based on the problem: x + y = 19 and x - y = 55.
Then we solve these equations simultaneously. We can add the two equations together to eliminate 'y'. This gives us 2x = 74, or x = 37. Substituting x = 37 into the first equation, we get 37 + y = 19, which gives y = -18.
So, the two numbers are 37 and -18.
#SPJ3
b. What is the probability that between 50 and 75 (inclusive) had fished?
c. If the 180 men selected for the interview were selected by the marketing department of a sporting-goods company based on information obtained from their mailing lists, what would you conclude about the reliability of their survey results?
Answer:
(a) The probability that fewer than 50 had fished is 0.0002.
(b) The probability that between 50 and 75 (inclusive) had fished is 0.6026.
(c) The survey results are not reliable.
Step-by-step explanation:
Let X = number of men who had fished during the year.
The probability of the random variable X is, p = 0.41.
A random sample of n = 180 men are selected.
The random variable X follows a Binomial distribution with parameters n = 180 and p = 0.41.
A Normal approximation to Binomial is applied when the following conditions are met,
Check:
Thus, the distribution of x can be approximated by a Normal distribution with:
Mean =
Standard deviation =
(a)
Compute the probability that fewer than 50 had fished as follows:
Thus, the probability that fewer than 50 had fished is 0.0002.
(b)
Compute the probability that between 50 and 75 (inclusive) had fished as follows:
Thus, the probability that between 50 and 75 (inclusive) had fished is 0.6026.
(c)
If the sample of 810 men are selected from mailing list then it is highly probable that the sample is not a representative of the true population, i.e. sports men.
Because the people interested in sports are less likely to be interested in fishing.
Thus, it could be concluded that the survey results are not reliable.
the answer to your question is 7 hours just keep adding 75 together
1457.50 dollars or 1458 dollars rounded
Answer:
1457.50
Step-by-step explanation
Took the tester