To describe and visualize the distribution of a numeric variable with very few unique values, which of the following can you NOT use? bar plot , pie chart , line chart, frequency table

2.

You collected data about your 33 classmates, including 2 variables, Fav_Food and Gender. The Fav_Food variable can take on values of "Pizza" or "Ice Cream" and the Gender variable can take on values of "Male", "Female", "Non-binary" or "Choose not to respond". You want to look for differences in favorite foods across gender, but first want to describe these two variables. What should you use?

mean

frequency table

grouped summary statistics

two-way crosstabs

3

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