15/1000
2.275 %
In a normal distribution, approximately 57.5% of the data falls within 0.75 standard deviations of the mean. This is derived from the cumulative distribution function (CDF) of the normal distribution, which indicates that about 27.5% of the data lies between the mean and 0.75 standard deviations above it, and an equal amount lies between the mean and 0.75 standard deviations below it. Therefore, when combined, it results in around 57.5% of data being within that range.
In a dataset, the interquartile range (IQR), which is the range between the first quartile (Q1) and the third quartile (Q3), contains 50% of the data. This means that 25% of the data lies below Q1, 50% lies between Q1 and Q3, and another 25% lies above Q3. Therefore, the percentage of data that lies between Q1 and Q3 is 50%.
The point lies one unit above the regression line.
A z-score of 70 would cover 35 standard deviations away from the mean. Note though, that a z-score of just 2.5 already covers 99% of the data. A z-score of 70 is incredibly high, and so is either a mistake, or will cover 100% of the data without fail. If a data point lies outside this, it is definitely an outlier and probably an error.
2.275 %
A normal distribution is symmetric and when looked at on a graph, the graph looks like a bell shaped curve. Approximately 95 percent of its values should lie within two standard deviations of the mean. Frequency of the data lies mostly in the middle of the curve.
No, they do not.
The bell curve, also known as the normal distribution, is a symmetrical probability distribution that follows the empirical rule. The empirical rule states that for approximately 68% of the data, it lies within one standard deviation of the mean, 95% within two standard deviations, and 99.7% within three standard deviations when data follows a normal distribution. This relationship allows us to make predictions about data distribution based on these rules.
Type your answer here... It depends what percentage of the total data you want to embrace. 99.73% of the total distribution lies between minus to plus 3 standard deviations. That's usually the benchmark range.
Mesosphere lies above the core.
The Earth's crust lies above the mantle.
The Central Standard time zone lies between the Eastern Standard and Mountain Standard time zone.
Between z = -1.16 and z = 1.16 is approx 0.7540 (or 75.40 %). Which means ¾ (0.75 or 75%) of the normal distribution lies between approximately -1.16 and 1.16 standard deviations from the mean.
mesosphere
lies lies lies
what mountain range in the west lies above 6,560 feet (2,000m)?