It takes Mercury <span>approximately 58 days, 15 h, and 30 min to complete a full rotation..
We are going to write the time not in days, hours and minutes, but only hours.
This means that we have to write 58 days as hours and 30 minutes as hours.
1 day is 24 hours, so 58 days are
58*24=(50+8)*(20+4)=50*20+50*4+8*20+8*4=1,000+200+160+32
=1,200+192=1,392 (hours)
60 minutes are 1 hour, so 30 minutes are 0.5 hours.
Thus
</span>58 days, 15 h, and 30 min are (1,392+15+0.5) hours = 1,407.5 hours
Answer: 1,407.5 hours
Answer:
1800
Step-by-step explanation:
Labor quantity variance= Actual quantity ×standard price - standard quantity ×standard price
Standard quantity=2×2600=5200
Labor quantity variance
5050×12-5200×12=1800
Bala had 9 stickers
You could set this up as a equation. Because there was a total of 26 you would for sure put =26. Next you are told Alvin has 8 MORE than Bali, therefore you would be adding the unknown value of Bala by 8. This could be represented as x+8=26. Now that you have x added to 8 you need to add another x to the equation to fully represent the problem since Alvin has 8 more stickers than Bala does. The new equation would become 2x+8=26.
You must now isolate x by first subtraction 8 from both sides which will leave you with 2x=18. Then you divide on both sides by 2 and will leave you with x=9
Answer:
(ai) The correct answer is the first option; The amount of tax the student is willing to add to a gallon of gasoline.
(aii) The correct answer is the last option; Whether the student believes that global warming is a serious issue or not.
(b) The correct answer is the first option; two-sample t interval
Step-by-step explanation:
A response variable in statistics is the idea or concept of needs to be proven right or wrong. It remains a response variable until it has been proven.
An explanatory variable simply means an independent variable. It doesn't depend on any other variable and at the same time, it can be manipulated.
In construct a 95% confidence interval to compare the two groups, two-sample t test is the appropriate t test to use.