Example

**Input temperatures**: [4.4, 4.2, 7.0, 12.9, 18.5, 23.5, 26.4, 26.3, 22.5, 16.6, 11.2, 7.3]

**Output mean**: 15.067

**Output standard deviation**: 8.021

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Temperature variations

**You will learn about**:
statistics and summing lots of numbers.

If you live in the tropics, in the rainforest, near the equator or on an island, the temperature doesn't change a huge amount throughout the year. But if you live in the subtropics or temperate zones then you probably get big swings in temperatures between winter and summer. We can use the average and standard deviation to say things about the climate of a city.

The average (or mean) temperature tells us how warm or cold a place is, while the temperature standard deviation tells us how much the temperature varies. For a series of temperature observations $T_1, T_2, \dots, T_n$, the average temperature $\overline{T}$ is calculated as $$ \overline{T} = \frac{T_1 + T_2 + \cdots + T_n}{n} = \frac{1}{n} \sum_{i=1}^n T_i $$ which can then be used to calculated the temperature standard deviation $\sigma_T$ using $$ \sigma_T = \sqrt{\frac{(T_1 - \overline{T})^2 + (T_2 - \overline{T})^2 + \cdots + (T_n - \overline{T})^2}{n}} = \sqrt{\frac{1}{n} \sum_{i=1}^n (T_i - \overline{T})^2} $$

**Input**:
A list of temperatures in degrees Celsius.

**Output**:
The average temperature, and the temperaure standard deviation.

Difficulty | Timesink | ||
---|---|---|---|

Maximum runtime | 60 s | Max. memory usage | 250 MiB |

Function signature | temperature_statistics(T) |

Write a function that accepts the input as function parameters and returns the correct output. Make sure to read the description above to produce the correct output in the correct format and use the correct function signature so we can run your code. A good first step is to try reproducing the example(s). Your code must not take longer than the maximum runtime to run and must not use more memory than the allowed limit.

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- We focused on average monthly temperatures but the difference between the warmest temperature in the middle of the day and the coolest temperature in the middle of the night results in a diurnal temperature variation that's also pretty important.
- You probably noticed a seasonal lag between the time of year with the most sunlight, the summer solstice around June 21, and the warmest months which are usually 1-2 months afterwards in July and August. This is because it takes time to warm things up, especially water with it's huge heat capacity. Because of this, cities near lots of water have longer seasonal lags.
- A similar lag happens every day where the warmest part of the day is usually around 3-5pm instead of at solar noon when the sun reaches its highest point. As a result, the warmest part of the day is when the sun is setting and is low enough that the surface has started cooling.
- Wikipedia has a pretty cool list of cities by average temperature.

Let us know what you think about this problem! Was it too hard? Difficult to understand? Also feel free to
discuss the problem, ask questions, and post cool stuff on Discourse. You should be able see a discussion
thread below. Feel free to post your solutions but if you do please **organize and document your code
well** so others can learn from it.