In the previous section of this report we drew some conclusions from our tests. However, before using any statistical test we should always make sure that some conditions are met. In our case, t-tests, we should check for: * Independence: there must be random sampling/assignment * Normality: the population distribution must be normal or quasi-normal Assuming all the previous conditions are met we can now restate our conclusions. It appears that there is a statistically significant difference between teeth length and dose levels across both delivery methods, in other words, as the dose increases so does teeth length. On the other hand, there doesn’t seem to be a statistically significant difference between delivery methods, with Orange juice apparently more effective at dose levels 0.5 and 1, and VC slightly more effective at dose level

Exploring the U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database - Health and Economic Impacts

It is now possible to collect a large amount of data about personal movement using activity monitoring devices such as a Fitbit, Nike Fuelband, or Jawbone Up. These type of devices are part of the "quantified self" movement -- a group of enthusiasts who take measurements about themselves regularly to improve their health, to find patterns in their behavior, or because they are tech geeks. But these data remain under-utilized both because the raw data are hard to obtain and there is a lack of statistical methods and software for processing and interpreting the data.