## Answer

## General guidance

Probability distribution assigns a probability value to each of the possible value of a random variable.

The assumptions of the probability are as follows:

1.The probability value must be greater than 0 and not exceeds 1.

2.If probability value is 0 then the event is impossible event.

3.If the probability value is 1 then the event is certain event.

4.The sum of the probability of an event and its complement are equal to 1.

## Step-by-step

### Step 1 of 2

From the information, observe that when an event is almost certain to happen, its complement will be an unusual event.

The option “False, the complement of an event has an equal probability as the event.”

This option is wrong because the sum of the probability of an event and its complement is equal.

The option “False, the probability of the complement will have a higher probability than the event.”

This option is wrong because we did not confirm which probability is higher without knowing the probability values.

The option “False, the probability of the complement has no relation to the probability of the event.”

This option is also wrong because the probability of an event and its complement are oppositely related.

The options “False, the probability of the complement will have a higher probability than the event.”, “False; the probability of the complement will have a higher probability than the event.” and “False, the probability of the complement has no relation to the probability of the event.” are wrong because of the assumptions of probability.

### Step 2 of 2

The given option is “True, the complement would be an unusual event.”

The option is correct.

**True, the complement would be an unusual event.**

True, the complement would be an unusual event.

This option is correct because the probability of an event is lower and almost equal to 0 then its complement is compulsory an unusual.

### Answer

**True, the complement would be an unusual event.**

### Answer only

**True, the complement would be an unusual event.**

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