The combined math and verbal scores for females taking the SAT-I test are normally distributed with a mean of 998 and a standard
1 answer:
Answer: There is 64.8% of females do not satisfy that requirement.
Step-by-step explanation:
Since we have given that
Mean = 998
Standard deviation = 202
We need to find the percentage of females do not satisfy that requirement.
If a college includes a minimum score of 1025 among its requirements,
So, it becomes,
Hence, there is 64.8% of females do not satisfy that requirement.
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Answer:
Step-by-step explanation:
the mean is given by:
In our case this is:
side note: the main difference between sample mean and population mean is in the 'context'. However, the method to calculate them is the same.
By context I mean: if this the items are taken from some larger category for example: the ages of a few 'students' from a 'class'. Here 'students' are the sample from a larger set that is 'class'. The mean of the 'few students' will be called sample mean. In contrast, if we take the mean of the ages of the whole class then this is called population mean. (population mean == mean of the whole set)
In our case we aren't told exactly where these numbers come from, is this the whole set or a sample from it, the lack of context allows us to assume that the mean can either be population mean or sample mean. So we can safely use any symbol or
.