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Premature: Heart rate=120-170bpm
Respiratory Rate=40-70
Blood Pressure=55-75/35-45
0-3 months: Heart rate=100-150bpm
Respiratory Rate=35-55
Blood Pressure=65-85/45-55
3-6 months: Heart Rate=90-120bpm
Respiratory Rate=30-45
Blood Pressure=70-90/50-65
6-12 months:Heart Rate=80-120bpm
Respiratory Rate=25-40
Blood Pressure=80-100/55-65
1-3 years: Heart rate=70-110
Respiratory rate=20-30
Blood Pressure=90-105/55-70
3-6 years: Heart rate=65-110bpm
Respiratory rate=20-30
Blood Pressure=95-110/60-75
6-12 years: Heart Rate=60-95bpm
Respiratory rate=14-22
Blood pressure=100-120/60-75
12-18 years: Heart Rate=55-85
Respiratory rate=12-18
Blood Pressure= 110-135/65-85
Heart rate: 50-100 beats per minute, depending on physical age and conditioning.
Respiratory rate: 12 breaths per minute
Blood Pressure: 120/80mmHg but this is seen to rise as people get older due to increased arterial resistance.
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Is 103.7 a fever?
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Normal. In some parameters, even better than neighboring countries.
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Nothing would happen to the plant. It will have a normal growth provided other parameters are normal.
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mode and skew
What are the two parameters that are necessary to determine probabilities for a particular normal distribution curve?
Mean and Standard Deviation
Why Normal distribution is better then other distributions in statistics?
The normal distribution has two parameters, the mean and the standard deviation Once we know these parameters, we know everything we need to know about a particular normal distribution. This is a very nice feature for a distribution to have. Also, the mean, median and mode are all the same in the normal distribution. Also, the normal distribution is important in the central limit theorem. These and many other facts make the normal distribution a nice distribution to have in statistics.
Do some normal probability distributions have different means and different standard deviations?
Yes. Normal (or Gaussian) distribution are parametric distributions and they are defined by two parameters: the mean and the variance (square of standard deviation). Each pair of these parameters gives rise to a different normal distribution. However, they can all be "re-parametrised" to the standard normal distribution using z-transformations. The standard normal distribution has mean 0 and variance 1.
