Is 1 a low standard deviation?

Is 1 a low standard deviation?

Popular Answers (1) As a rule of thumb, a CV >= 1 indicates a relatively high variation, while a CV < 1 can be considered low. This means that distributions with a coefficient of variation higher than 1 are considered to be high variance whereas those with a CV lower than 1 are considered to be low-variance.

Why is a small standard deviation good?

Standard deviation is a mathematical tool to help us assess how far the values are spread above and below the mean. A high standard deviation shows that the data is widely spread (less reliable) and a low standard deviation shows that the data are clustered closely around the mean (more reliable).

Which set of scores has the greatest variability?

Q6. To see which set of score have the greatest variability(range), we have to check all four options. So, set of scores of option a have the highest variability. So the correct answer is option b .

What can be said about a set of data when its standard deviation is small?

The standard deviation is small when the data are all concentrated close to the mean, and is larger when the data values show more variation from the mean. When the standard deviation is a lot larger than zero, the data values are very spread out about the mean; outliers can make s or σ very large.

What is a good standard deviation for stocks?

When stocks are following a normal distribution pattern, their individual values will place either one standard deviation below or above the mean at least 68% of the time. A stock’s value will fall within two standard deviations, above or below, at least 95% of the time.

Is Spy a good investment?

If you’re a long-term investor, any time is a good time to buy SPY stock. Given how diversified it is, SPY is the ultimate “set it and forget it” stock. Over the long term, the S&P 500 has returned 9.9% a year on average since 1928, says IFA.com.

What is the current standard deviation of the S&P 500?

0.9528

What does small error bars mean?

The length of an Error Bar helps reveal the uncertainty of a data point: a short Error Bar shows that values are concentrated, signalling that the plotted average value is more likely, while a long Error Bar would indicate that the values are more spread out and less reliable.