C207 Data-Driven Decision Making Practice Questions - Set 3 - Part 1

Test your knowledge of data-driven decision making concepts with these practice questions. Each question includes detailed explanations to help you understand the correct answers.

Question 1: If a manager wants to determine the internet advertiser that will reach the most people using page view data, which tool would they likely use?

Regression analysis

Cluster analysis

Data mining

Time series analysis

Question 2: Bethany notices that her husband wears a blue sweater on two consecutive Tuesdays. She concludes that if it’s Tuesday, he’ll wear a blue sweater. What is the flaw in this experiment?

Measurement bias

Association vs. causation

Small sample size

Data manipulation

Question 3: Dr. Andrews decides to monitor hair length in people to determine their heart attack risk. What is the flaw in this experiment?

Operationalization

Selection bias

Measurement error

Small sample size

Question 4: Mr. Wonka notices that every time he invents a new candy, his competitors make big sales. He believes he causes their success. What is the flaw in this conclusion?

Selection bias

Small sample size

Association vs. causation

Operationalization

Question 5: What is the likelihood that at least one of two events (a package arriving within three days or getting wet) occurs if the probabilities of these events are 90% and 75%, respectively, and the chance of both occurring is 70%?

95%

85%

75%

70%

Question 6: If there is an 80% chance of snow and, if it snows, a 10% chance of Todd walking to the store, what is the probability that Todd will walk to the store if it doesn't snow?

60%

50%

40%

12%

Question 7: Determine the mode, median, and mean (in that order) from the following dataset: 4, 7, 11, 12, 14, 14, 15, 17, 17, 17, 18, 20, 23, 24, 26, 29, 35, 39, 40.

14, 17, 20.11

17, 17, 20.11

17, 17, 25.5

14, 14, 20.5

Question 8: Standard deviation measures:

The difference between the largest and smallest values

The spread of values from the mean

The relationship between two variables

The central tendency of data

Question 9: Elizabeth received a score of 75 on her performance review. The average score was 80, with a standard deviation of 3.5. What is her z-score?

-1.43

-2.00

-0.50

1.43

Question 10: A weighted score is:

The average of all scores

A score calculated by multiplying a weighting factor by an option ranking

The sum of all scores

A method to compare unweighted data

Question 11: Attribute data is defined as:

Data that shows continuous measurements

Data that indicates whether a result meets a requirement (yes/no)

Data that ranks items in order

Data that is interval-based

Question 12: The upper control limit on a control chart represents:

The average value

The maximum value a process should not exceed

The minimum value a process should not exceed

The range of variability in the data

Question 13: What are metrics used for in business?

To predict customer behavior

To gauge results objectively and track performance

To measure the relationship between two variables

To compare categorical data

Question 14: Variable data differs from attribute data because it:

Only shows whether a condition is met

Can take any value within a range and is often shown on a scale

Represents binary outcomes

Is used only in categorical analysis

Question 15: A histogram is:

A graph that shows the relationship between two variables

A vertical bar chart that shows the distribution of data

A chart used to track performance over time

A plot that shows upper and lower control limits

Question 16: Common cause variation is:

Variation caused by external factors

Natural variation inherent to a process

Variation that can be easily eliminated

Unpredictable changes in data

Question 17: Control limits are typically:

Set at two standard deviations from the mean

Set at three standard deviations from the mean

The same as specification limits

Used to show the average performance of a process

Question 18: Early start dates in project management are defined as:

The latest possible dates that an activity can start

The earliest dates that activities can start based on predecessors

The date when all activities must be completed

The dates when project delays are most likely

Question 19: What is the purpose of a check sheet in quality management?

To measure the variability in a process

To collect and record data in a structured format

To test hypotheses

To compare means across groups

Question 20: A Pareto chart orders data by:

The mean value of each group

The frequency of occurrence, from highest to lowest

The time sequence of events

The relationship between variables

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