A variable, Num_Defects, represents the proportion of defective products produced per hour on an assembly line in a manufacturing plant. When inspecting a histogram of Num_Defects, you see that most values are small but there are also some very large values. You conclude that the skew of the variable is:

Group of answer choices

negative (left)

symmetric

center

positive (right)

You want to understand the skew of a variable in your dataset, Salary, which represents the starting salary of business analytics majors. When describing the variable, you find the following descriptive statistic information:

Minimum: 20,000 Mean: 40,000 Median: 52,000 Mode: 60,000 Maximum: 90,000

How would you describe the skew of the Salary variable?

center skew

symmetric

negative (left) skewed

positive (right) skewed

4.

Coca Cola has a dataset representing 1,000 retail stores that sell their product and contains the following characteristics about the stores: Zip Code, State, Store_Size (in square ft), Average_Monthly_Revenue and Quantity_Sold. The 1,000 retail stores is a randomly selected subset of all of the retail store that sell their products. Which of the following statements is NOT true?

The dataset is a sample

The dataset has 1,000 observations

The dataset has 5 observations

The dataset has 5 variables

6.

If we want to find the quantity of items to produce to maximize our revenue, we should use _________ analytics.

Prescriptive

Descriptive

Predictive

Visual

7

Which of the following is NOT a way to handle missing values in a dataset?

Remove row-wise

Remove column-wise

Standardize

Impute

Coca Cola believes that there may be differences in the average sales quantity, depending on the state that the location selling the product is in. They collect a sample of 400 locations in Florida, New Jersey, and California. What should they use to test this hypothesis?

Two-Sample t-Test

One-Sample t-Test

Association Analysis

ANOVA