[Diff since v1.11.0](v1.11.0...v1.11.1)

**Merged pull requests:**
- Make SparseArrays a weak dependency (#134) (@IanButterworth)
- Recommend `mean((x, y))` rather than `middle((x, y))` (#147) (@nalimilan)
- Revert "Prepare standalone package, step 2 (#128)" (#148) (@nalimilan)
- Prevent overflow in `mean(::AbstractRange)` and relax type constraint. (#150) (@chunjiw)
- Document MATLAB behavior in `quantile` docstring (#152) (@nalimilan)
- Fix `quantile` with `Date` and `DateTime` (#153) (@nalimilan)
- relax test for mapreduce_empty (#156) (@vtjnash)
- Drop support for v1.9 in CI (#157) (@vtjnash)
- CI: restore v1.9.4 to build matrix (#159) (@vtjnash)

**Closed issues:**
- The `quantile` function can return incorrect results for integer arrays (Int8, Int16, Int32) (#119)

Add compat for Julia to Project.toml

Prepare standalone package for Julia 1.9 (#129)

Fix missing `stdm` method with dims argument (#81)

`stdm` is missing a "dims" argument which is documented but has not actually been added.

Fix `cov` and `cor` in the presence of missing values (#94)

`dot` currently throws when the input contains `missing`,
which is breaking as they were previously accepted.
Use `adjoint(y) * x` instead of `dot(y, x)`, as the former falls back
to the latter for arrays of `Number`s but to
`sum(uu*vv for (uu, vv) in zip(u, v))` for other types.

README: Add the Travis CI status badge (#56)

Add missing shape checks for the means argument to var[m] and std[m] (#…

…32)

We use `@inbounds`, but the shape of the `means` argument was never checked
for the general `AbstractArray` method.
With an incorrect shape, invalid results or crashes would happen.
To avoid breaking existing code which was working, allow trailing singleton
dimensions. Sync the `SparseMatrixCSV` method, which makes it less strict.

Move stdlib/Statistics to repo root

Add LICENSE.md