We use may, might and could to say that something is possible, but not certain:
They may come by car. (= Maybe they will come by car.)
If we don't hurry, we could be late. (= Maybe we will be late.)
We use can to make general statements about what is possible:
It can be very cold here in winter. (= It is sometimes very cold here in winter.)
You can easily get lost in this town. (= People often get lost in this town.)
Be careful! |
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We do not use can to talk about specific events:
Notice the difference in meaning between can and may/might/could:
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Level: intermediate
We use may have, might have or could have to make guesses about the past:
I haven't received your letter. It may have got lost in the post.
It's ten o'clock. They might have arrived by now.
Where are they? They could have got lost.
We use could to make general statements about the past:
It could be very cold there in winter. (= It was sometimes very cold there in winter.)
You could easily get lost in that town. (= People often got lost in that town.)
Impossibility
Level: beginner
We use can't or cannot to say that something is impossible:
That can't be true.
You cannot be serious.Level: intermediate
We use can't have or couldn't have to say that a past event was impossible:
They know the way here. They can't have got lost!
If Jones was at work until six, he couldn't have done the murder.Certainty
Level: beginner
We use must to show we are sure something is true and we have reasons for our belief:
It's getting dark. It must be quite late.
You haven’t eaten all day. You must be hungry.We use should to suggest something is true and we have reasons for our suggestion:
Ask Miranda. She should know.
It's nearly six o'clock. They should arrive soon.Level: intermediate
We use must have and should have for the past:
They hadn't eaten all day. They must have been hungry.
You look happy. You must have heard the good news.
It's nearly eleven o'clock. They should have arrived by now.
"Put your question in the box"
خودآزمایی ها |
نام | تعداد آزمون | میزان موفقیت | |
---|---|---|---|
یاشار اسکندری | 5 | 100/00 % | |
پریسا سلوکی شهرضایی | 5 | 94/44 % | |
نیلوفر نیک گفتار | 5 | 94/44 % | |
محمد خزایی | 5 | 91/67 % | |
نیما شیرانی | 5 | 91/67 % | |
mina roshanaei | 3 | 86/36 % | |
المیرا چپ نویس | 5 | 83/33 % | |
سیامک اوحدی نیا | 5 | 80/56 % | |
Golnar beigi | 5 | 75/00 % | |
ایلیا یاوری | 5 | 63/89 % | |
Kimia Fooladgar | 2 | 56/25 % |
نام | تعداد آزمون | میزان موفقیت | |
---|---|---|---|
َAmeneh Darvishzadeh | 1 | 100/00 % | |
Mehrad Hashemi | 1 | 100/00 % | |
Noushmehr Norsobhi | 1 | 100/00 % | |
محمدحسین میرزایی | 1 | 100/00 % | |
مهدی حسین پور آقائی | 1 | 100/00 % | |
Farnoush Toghiany | 21 | 98/36 % | |
zahra namdari | 46 | 98/21 % | |
یاسمن محمدی پور | 4 | 98/08 % | |
Tara Mohammadi | 3 | 96/43 % | |
yasaman mohamadipur | 51 | 95/86 % | |
مهدی هنرمند | 1 | 95/24 % | |
محمدجواد ملائی اردستانی | 3 | 94/44 % | |
Arzhang Saberi | 4 | 93/33 % | |
Soheila Karimi | 124 | 92/73 % | |
aram farhmand | 10 | 92/31 % | |
یاشار اسکندری | 98 | 91/14 % | |
عباس پورمیدانی | 1 | 90/00 % | |
پریسا سلوکی شهرضایی | 72 | 89/49 % | |
ارشیا قلمکاری | 33 | 89/23 % | |
Matin Azimipour | 30 | 88/17 % |