## Resources

### Final Review

• Final review sessions materials will be uploaded in the Google Drive folder after the sessions have been conducted.
• Comprehensive review of statistical concepts: steps, examples, purpose of topics like hypothesis testing, confidence intervals, correlation, regression, classification, two-sample inference, central limit theorem, Bayes' Rule, and more. Thanks to Francie McQuarrie for this!

Midterms:

Finals:

### Staff Solutions

To access the solutions, click on the link below and you will be directed to a Google Drive Folder with all the available solutions. You need to be signed into your berkeley.edu email account to access the solutions.

### Table Functions and Methods

Name Chapter Description
`Table` 5 Create an empty table, usually to extend with data
`Table.read_table` 5 Create a table from a data file
`with_columns` 5 Create a copy of a table with more columns
`column` 5 Create an array containing the elements of a column
`num_rows` 5 Compute the number of rows in a table
`num_columns` 5 Compute the number of columns in a table
`labels` 5 Lists the column labels in a table
`select` 5 Create a copy of a table with only some of the columns
`drop` 5 Create a copy of a table without some of the columns
`relabel` 5 Modifies the existing table in place, changing the column heading in the first argument to the second
`relabeled` 5 Returns a new table with the column heading in the first argument changed to the second
`sort` 5.1 Create a copy of a table sorted by the values in a column. Defaults to ascending order unless "descending = True" is included
`where` 5.2 Create a copy of a table with only the rows that match some predicate
`take` 5.2 Create a copy of the table with only the rows whose indices are in the given array
`barh` 6.1 Draws a bar chart of the frequencies of a categorical distribution
`histogram` 6.2 Draws a histogram of a numerical distribution
`apply` 7.1 Returns an array of values resulting from applying a function to some column in a table
`group` 7.2 Create a copy of the table with all rows with the same values in a certain column aggregated into one row in the new table
`groups` 7.3 Create a copy of the table with all rows with the same value in a certain array of columns aggregated into one row in the new table
`pivot` 7.3 Create a copy of the table with a column for each element in the first argument and a row for each element in the second argument and aggregates values
`join` 7.4 Create a copy of the table that is the result of joining the columns of two tables, with a row for each shared value in the two tables
`sample` 9 Draws some number of rows at random from a table. By default, with replacement.
`proportion_from_distribution` 10.1 Returns a new table with an additional column corresponding to proportions from a random sample of some size of the proportions in a column.

### Array Functions and Methods

Name Chapter Description
`max` 3.3 Returns the maximum value of an array
`min` 3.3 Returns the minimum value of an array
`sum` 3.3 Returns the sum of the values in an array
`len` 3.3 Returns the length (number of elements) of an array
`make_array` 4.4 Makes a numpy array with the values passed in
`np.average` 4.4 Returns the mean value of an array
`np.diff` 4.4 Returns a new array of size len(arr)-1 with elements equal to the difference between adjacent elements
`np.sqrt` 4.4 Returns an array with the square root of each element
`np.arange` 4.5 Returns an array of an end-exclusive range of variable step size
`arr.item` 4.6 Returns the i-th item in an array (remember Python indices start at 0!)
`np.random.choice` 8 Picks one (by default) or some number 'n' of items from an array at random. By default, with replacement.
`np.count_nonzero` 8 Returns the number of non-zero (or True) elements in an array.
`np.append` 8.2 Returns a copy of the input array with some item (must be the same type as the other entries in the array) appended to the end.
`percentile` 11.1 Returns the corresponding percentile of an array.