The answer will depend on what the comparison is to be made with and also on how "better" is being judged. The arithmetic average is the best linear unbiased estimate as well as the maximum likelihood estimate of the centre. The best estimate for the spread depends on whether the data comprise the population or a sample from the population.
In a lifetime, a person typically has more heartbeats than breaths. The average human heart beats about 100,000 times a day, which adds up to over 3 billion beats in a lifetime. In contrast, the average person takes around 20 breaths per minute, totaling approximately 10 million breaths per year. Over an entire lifetime, this usually results in fewer breaths than heartbeats.
Type your answer here... example would be to determine average rate of population growth in order to estimate future tax revenues.
The average resting heart rate for adults typically ranges from 60 to 100 beats per minute. This translates to approximately 3,600 to 6,000 heartbeats per hour. Factors such as age, fitness level, and overall health can influence an individual's heart rate. Generally, athletes may have lower resting heart rates due to increased cardiovascular efficiency.
traditionally a straight 'a' average is achieved when a student's final marks for ALL subjects taken are 90% or higher.
No. The average of a dataset is the point estimate for the mean of the population.
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The average persons heart beats 72 times per min
For typical adults, their heart beats at an average time of 60 beats a minute. A day has 1440 minutes. Since there are 7 days a week, there will be 10080 minutes. 1 hour - 60 minutes 60 minutes x 24 hours = 1440 minutes 1440 minutes x 7 days = 10080 minutes About 60 heartbeats per minute 10080 minutes x 60 heartbeats = 604800 heartbeats Conclusion: An adult's average heartbeats is 604800 heartbeats.
To compute the point estimate of a population mean, you take the sample mean. This is done by calculating the average of the data values in the sample. The sample mean is then used as an estimate of the population mean.
To estimate the dandelion population on a football field, you can conduct a sampling method by counting the average number of dandelions in several square meter plots. Calculate the average count from these samples and then multiply it by the total area of the football field, which is typically about 7,140 square meters. This will give you an estimate of the total dandelion population on the field. Make sure to take a sufficient number of samples to ensure accuracy in your average count.
Anywhere between 140-220 is considered normal and healthy
In fetus and new born 140 to 150. Then the number gradually reduces to about 70 to 90 in the adults.
It can get a bit confusing! The estimate is the value obtained from a sample. The estimator, as used in statistics, is the method used. There's one more, the estimand, which is the population parameter. If we have an unbiased estimator, then after sampling many times, or with a large sample, we should have an estimate which is close to the estimand. I will give you an example. I have a sample of 5 numbers and I take the average. The estimator is taking the average of the sample. It is the estimator of the mean of the population. The average = 4 (for example), this is my estmate.
The average heart-rate (at rest) for an adult human is 60-70 beats per minute.
The answer will depend on what the comparison is to be made with and also on how "better" is being judged. The arithmetic average is the best linear unbiased estimate as well as the maximum likelihood estimate of the centre. The best estimate for the spread depends on whether the data comprise the population or a sample from the population.
84% is approximately A in all subjects. in some subjects, 85% and over is A* and in some subjects it's 90% and over hope this helped