Answer:
The last method (Round 13.76 to 14, round 9.8 to 10, and round 16.415 to 16; since 14 + 10 + 16 = 40 and 40 is close to 39.975, her answer is reasonable.)
Step-by-step explanation:
Option 1 is unreasonable because removing the decimal points just changes the whole problem and claims that Harshini rode her bike 1376 kilometers on Monday and etc., which she did not. Option 2 is unreasonable because not all the numbers are near 20 and should be rounded to their nearest whole numbers instead to find a more accurate estimate. Option 3 is unreasonable for the same reason as option 2, the numbers should be rounded to their nearest whole numbers instead to find a more accurate estimate. Option 4 is reasonable because the numbers are rounded to the nearest whole numbers which makes the estimate more accurate.
<h2>⚠ANSWER⚠ </h2>
<em>Dependent event is when two events are dependent events, one event influences the probability of another event whereas independent event has no effect on the probability of another event occurring. </em>
↪DEPENDENT EVENT
When two events are dependent events, one event influences the probability of another event. A dependent event is an event that relies on another event to happen first. Dependent events in probability are no different from dependent events in real life. If you want to attend a concert, it might depend on whether you get overtime at work. if you want to visit family out of the country next month, it depends on whether or not you can get a passport in time. More formally, we say that when two events are dependent, the occurrence of one event influences the probability of another event.
Simple examples of dependent events
- Robbing a bank and going to jail.
- Not paying your power bill on time and having your power cut off.
- Boarding a plane first and finding a good seat.
- Parking illegally and getting a parking ticket.
↪INDEPENDENT EVENT
An independent event is an event that has no connection to another event’s chances of happening (or not happening). In other words, the event has no effect on the probability of another event occurring. Independent events in probability are no different from independent events in real life. Where you work has no effect on what color car you drive. Buying a lottery ticket has no effect on having a child with blue eyes.
When two events are independent, one event does not influence the probability of another event.
Simple examples of independent events
- Owning a dog and growing your own herb garden.
- Paying off your mortgage early and owning a Chevy Cavalier.
- Winning the lottery and running out of milk.
- Buying a lottery ticket and finding a penny on the floor.
<u>☆</u><u>.</u><u>.</u><u>.</u><u>hope this helps</u><u>.</u><u>.</u><u>.</u><u>☆</u>
Answer:
x = 24
Step-by-step explanation:
I checked and made sure the answer was correct.
Hope this helps!
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Answer:
Step-by-step explanation:
Given figure is of a rhombus.
Measures of the opposite angles of a rhombus are equal.
Therefore,

Answer: They were not correct it was bigger by 2.5 so the people were wrong