
1.
Noah earns an average of $40 in a day with a deviation of 2. He spends an average of $13 with a deviation of 5. Calculate the mean value of the difference between the given random variables.

2.
The mean of the burgers baked in Henry's bakery in a day is 180 with a deviation of 3. The mean of the burgers sold by them in a day is 150 with a deviation of 3. What is the expected value of the difference between the given variables?

3.
The mean of the patients getting admitted to a hospital in a day is 6 with a deviation of 0.5. The mean of the patients getting discharged in a day is 6 with a deviation of 0.7. Select the correct mean value of the difference between the above variables.

4.
The mean of the individuals visiting a church on Fridays is 80 per hour with a standard deviation of 22. The mean of the individuals visiting the church on Sundays is 71 per hour with a standard deviation of 18. Which of the given options represents the mean value of the difference between random variables?

5.
The mean of the individuals going abroad in a day is 2,500 with a standard deviation of 6. The mean of the individuals returning from abroad in a day is 2,300 with a standard deviation of 5. Identify the correct expected value of the difference between these variables.

6.
The mean of the students enrolling for an IQ test is 480 with a deviation of 12. The mean of the students appearing for the test is 400 with a deviation of 15. Evaluate the mean value of the difference between the given random variables.

7.
The mean of the bulbs manufactured by a company in an hour is 290 with a standard deviation of 56. The mean of the bulbs detected defective in an hour is 10 with a standard deviation of 2. What is the expected value of the difference between the given variables?

8.
The mean of the food imported by an area is 800 metric tons with a deviation of 98. The mean of the food exported by an area is 500 metric tons with a deviation of 102. Choose the correct mean value of the difference between the above variables.

9.
The mean of the earning made by Diana in a month is $1,500 with a standard deviation of 11. The mean of the money donated by her in a month is $300 with a standard deviation of 9. Which of the given choices represents the mean value of the difference between random variables?

10.
The mean of the cars bought by a firm in a month is 87 with a deviation of 2. The mean of the cars sold by the same firm in a month is 57 with a deviation of 5. Find the correct expected value of the difference between these variables.

11.
The mean of the new students getting admissions to a university in a year is 1,900 with a deviation of 60. The mean of the students passing and leaving the university is 1,500 with a deviation of 55. Calculate the mean value of the difference between the given random variables.

12.
The mean of the cakes baked by a bakery in a month is 700 with a deviation of 51. The mean of the cakes sold by the bakery online in a month is 250 with a deviation of 11. What is the expected value of the difference between the given variables?

13.
The mean and the standard deviation of the insurances made by a company in a month are 480 and 10. The mean and the standard deviation of the insurances claimed by the customers in a month are 120 and 12. Select the correct mean value of the difference between the above variables.

14.
The mean of the individuals entering a hotel in a day is 85 with a deviation of 5. The mean of the individuals checking out from the hotel in a day is 50 with a deviation of 6. Which of the following options matches the mean value of the difference between random variables?

15.
The mean and the standard deviation of the individuals in an area getting spectacles for weak eyesight is 15 and 1 in a day. The mean and the standard deviation of the individuals in an area getting laser done for removing spectacles is 10 and 0.8 in a day. Determine the correct expected value of the difference between these variables.

16.
The mean of the profits made by a company in a year is 20 million dollars with a standard deviation of 0.75. The mean of the spending done by the same company in a year is 5 million dollars with a standard deviation of 0.95. Evaluate the mean value of the difference between the given random variables.

17.
The average number of chocolates Susan bought in a day is 8 with a deviation of 1. The average number of chocolates she ate in a day is 4 with a deviation of 2. What is the expected value of the difference between the given variables?

18.
The average number of sweaters made by Mary's grandmother in a month is 60 with a deviation of 2. The average number of sweaters sold online by Mary in a month is 50 with a deviation of 5. Choose the correct mean value of the difference between the above variables.

19.
The mean of the customers entering a restaurant in an hour is 15 with a deviation of 0.2. The mean of the customers leaving the restaurant in an hour is 11 with a deviation of 0.6. Which of the following choices matches the mean value of the difference between random variables?

20.
The mean and the standard deviation of the dogs visiting a veterinary in a day is 18 and 1. The mean and the standard deviation of the cats visiting a veterinary in a day is 21 and 1.3. Find the correct expected value of the difference between these variables.

21.
The mean of the pocket money given to John in a month is $125 with a standard deviation of 5. The mean of the money spent by him on chocolates in a month is $75 with a standard deviation of 10. Calculate the mean value of the difference between the given random variables.

22.
The mean and the standard deviation of the marks scored by boys in a test is 89 and 2. The mean and the standard deviation of the marks scored by girls in a test is 92 and 5. What is the expected value of the difference between the given variables?

23.
The mean of the children joining a swimming club in a month is 28 with a deviation of 3. The mean of the children leaving the club is 12 with a deviation of 1. Select the correct mean value of the difference between the above variables.

24.
The mean of the garlands made by a flower shop worker in a day is 20 with a standard deviation of 1. The mean of the garlands sold by the flower shop in a day is 19 with a standard deviation of 2. Which of the given options best suits the mean value of the difference between random variables?

25.
The mean of the money invested in a business is $70,000 in a year with a deviation of 500. The mean profit earned in a year is $80,000 with a deviation of 800. Identify the correct expected value of the difference between these variables.

26.
The mean of the travels booked by a company in a day is 590 with a deviation of 17. The mean of the travels canceled by the customers in a day is 50 with a deviation of 20. Evaluate the mean value of the difference between the given random variables.

27.
The mean number of men applying for a certain job in a company in a year is 180 with a standard deviation of 30. The mean number of women applying for the same job in a company in a year is 200 with a standard deviation of 40. What is the expected value of the difference between the given variables?

28.
The mean of the children entering a park in an hour is 15 with a standard deviation of 0.5. The mean of the children leaving the park is 12 with a deviation of 0.8. Choose the correct mean value of the difference between the above variables.

29.
The mean of the daily calories consumed by James is 2,000 with a deviation of 70. The mean of the calories burned by him in a day is 1,800 with a deviation of 100. Which of the given choices best suits the mean value of the difference between random variables?

30.
The mean and the standard deviation of the money made by an organization in a month are $50,000 and 59. The mean and the standard deviation of the money given to the employees in a month are $43,000 and 70. Find the correct expected value of the difference between these variables.