Utilizing the complement rule alongside the standard normal table or Excel, we arrive at the results.
To summarize previous concepts,
the normal distribution represents a symmetrical probability distribution centered around the mean, highlighting that values near the mean occur more frequently than those further away.
The Z-score acts as a statistical measure that indicates a value's relation to the average of a dataset, expressed in standard deviations from the mean.
In addressing the problem:
Let X denote the random variable representing population heights, and we regard the distribution for X as stipulated.
For a sample size of n = 64, since the distribution of X holds normality, so does the distribution of the sample mean.
We aim to determine the following probability, utilizing the Z-score derived via the specified formula.
Response:
The probability that a student has a pet, given they do not have any siblings is:
Option: D ( 60%)
Step-by-step breakdown:
Let A represent the situation where a student lacks a sibling.
Let B signify the occurrence that a student has a pet.
Consequently, A∩B refers to the event in which a student is without siblings but possesses a pet.
Let P denote the chance of an event happening.
We need to determine:
P(B|A)
From our knowledge:

From the data provided:
P(A)=0.25
and P(A∩B)=0.15
Thus,

which expressed as a percentage is:

Therefore, the probability is:
60%
8/9 -----\ 8 -------\ 9 8.0.8 -------\ 9 80 -72 ------- 8 This procedure would continue indefinitely, so the answer is.8888888 repeating. Therefore, the result is 1 and 1/9 or 1.
Answer:
The original cost amounts to $10
Step-by-step explanation:
Let us denote the cost as x
where Price = x + (0.5x) = 1.50x
Now, the price after reduction is 20% of 1.50x
which is 0.3x 
This leads to the equation 1.50x - 0.3x = 12
resulting in 1.2x = 12
which gives us x = 10
thus, the cost is $10