A line chart has been used to show the total monthly rainfall in a city over a year. However, the city is known to have micro-climates and the distribution of rainfall can vary dramatically within the city. What potential issue might this presentation of data have?

The line chart does not capture the variability of rainfall within the city, potentially leading to incorrect assumptions about rainfall patterns.

The line chart is misleading because rainfall does not occur in a continuous manner.

The line chart is inappropriate because rainfall should be measured annually, not monthly.

The line chart is incorrect because it does not show the relationship between rainfall and temperature.

You have been presented with a scatter plot showing the relationship between employee satisfaction and productivity. There is a clear positive correlation, but one outlier shows an employee with extremely high satisfaction but low productivity. How should this outlier be treated?

The outlier needs to be investigated further because it might indicate a situation where the general trend does not apply.

The outlier should be ignored because it doesn't fit the overall pattern.

The outlier should be removed from the analysis because it skews the results.

The outlier should be included to show the full range of data.

A bubble chart has been used to show the relationship between advertising spend (x-axis), product sales (y-axis), and profit margin (bubble size). However, the profit margin data is very tightly clustered, resulting in bubbles of similar sizes. What problem does this present and how can it be resolved?

The bubble size is too similar, making it difficult to distinguish the differences in profit margin. This could be resolved by adjusting the scale of the bubble size.

The problem is that the bubble size does not accurately represent the profit margin. This could be resolved by choosing a different variable for the bubble size.

The bubble chart is inappropriate for this data set because profit margin should be represented on the y-axis. This can be resolved by using a scatter plot instead.

The bubble chart is incorrect because it does not show the relationship between advertising spend and product sales. This could be resolved by using a line chart instead.

A histogram is used to illustrate the distribution of customer ages for a company's product. The histogram is positively skewed. What does this imply about the customer base, and what could be a potential strategy for the company based on this information?

The company primarily has younger customers, and should therefore consider developing products or services that cater more to older demographics.

The company primarily has older customers, and should therefore target marketing towards younger demographics to balance out their customer base.

The company has a balanced customer base, and should therefore maintain their current marketing strategy.

The histogram doesn't provide any useful information about the customer base. The company should use a pie chart instead.

A researcher collected a large dataset and found that it followed a perfect normal distribution. Later, they discovered that one data point was recorded incorrectly. What impact will correcting this single point have on the normality of the data?

The distribution will still be normal but the mean and standard deviation may change.

The distribution will not be normal anymore.

The distribution, mean, and standard deviation will all remain unchanged.

In a company, salaries are normally distributed with an average of $60,000 and a standard deviation of $10,000. If the company introduces a policy to increase the lowest salaries to $50,000, what effect will this have on the distribution of salaries?

The distribution will no longer be normal.

The distribution will still be normal with a higher mean.

The distribution will still be normal but will no longer be symmetric.

You are conducting a research on human height, which is known to follow a normal distribution. You collect a sample and find that it is negatively skewed. What could be a plausible explanation for this?

Both options 1 and 3 could be plausible explanations.

You have sampled more short people than would be expected by chance.

You have sampled more tall people than would be expected by chance.

Your sample is not large enough.

If a large set of test scores follows a normal distribution, then we can expect:

Half of the scores to be above the mean.

Approximately 68% of the scores to be within one standard deviation from the mean.

The most common score to be equal to the mean.

Given a normal distribution of weights for a specific species of adult turtles, one turtle is found to be 2 standard deviations below the mean. This could imply:

This turtle's weight is unusually low for adult turtles of this species.

This turtle's weight is within the normal range for adult turtles of this species.

This turtle's weight is exactly average for adult turtles of this species.

A hospitality company is considering adopting a big data strategy. Which of the following is NOT a potential challenge they might face?

The company's competitors are not using big data.

The company's leaders are not technologically savvy.

The company's IT infrastructure is not designed to handle large volumes of data.

The company does not have a team of data scientists or analysts.

When considering the use of colour in data visualisation, which of the following is NOT recommended?

Consistent use of a large variety of colours.

Use of pure bright colours for small highlight areas.

Use of colours that imitate reality.

Use of a prominent colour for the important item and grey for the less important one.

Which of the following is NOT an effective use of data visualisation?

To accurately predict future trends based on past data.

To provide a quick summary of the most important information in the data.

To discover and explore patterns, clusters, and outliers in the data.

To support decision-making through faster and timely insights.

In the context of big data in hotels, what change has the advent of analytics/data science/AI brought about in revenue management?

Real-time consolidation and analysis of large amounts of data to forecast demand and suggest optimal rates.

Manual spreadsheet entries and price recommendations for every single room.

Increased human intervention in detecting patterns and anomalies.

A hotel chain uses big data to customize the ways it reaches out to guests based on their interactions with properties and services. Which of the following external data sources would likely be LEAST helpful in this personalization effort?

Social media platforms for guest feedback and sentiment analysis.

Review aggregator platforms for public reviews of their properties.

Data from the tourism board and event organisers.

In the context of data visualization, what is the main reason behind considering the Gestalt principle of figure-ground?

To differentiate between primary and secondary data visually

To connect related data elements

To determine the orientation of the visual representation

A hotel chain is looking to enhance customer satisfaction. It decides to leverage big data for this initiative. Which among the following data sets would be the LEAST beneficial for this purpose?

Local political events and global news

Social media feedback and engagement metrics

Market Research Data like STR reports

What could be the biggest disadvantage of a hospitality company if it fails to utilize data visualization effectively?

It could lead to misinterpretation of data.

It might face increased competition from rivals.

The company might fail to adhere to government regulations.

The company could lose its market share to emerging start-ups.

In the 4-step chart selection process, why is the "Define message" step crucial?

It helps to choose the appropriate chart type

It assists in cleaning the data

It guides the overall data preparation process

Which of the following is NOT an expected outcome of using Big Data analytics in hotels?

Increasing the number of manual spreadsheet entries for room price recommendations

Enhancing revenue management by forecasting demand and suggesting optimal rates

Predicting future travel trends based on past customer behavior

Providing personalized customer service based on past interactions

The hotel's marketing team wishes to create a campaign targeted at their most loyal customers. Which type of data would be most effective to study?

Internal PMS and channel manager data

Review aggregator platform data

Your hotel chain wants to mitigate the impact of negative reviews. Which of the following data sources would be most valuable?

Social media and review aggregator platforms

A small hotel is looking to leverage data analysis but lacks resources. What could be the most beneficial initial step?

Begin analysing available internal (small) data

Invest heavily in new IT infrastructure

Focus on gathering external data

In the context of data visualization, what could be a potential drawback of using bright, pure colors as background?

They could lead to an unclear visual representation

They could lead to a larger file size

They could lead to more printing costs

They could be attractive to the audience

How would you apply the Principle of Common Fate in data visualization for a hotel chain's annual revenue data?

By grouping the revenue data of each branch together

By showing the revenue data in the order it was collected

By illustrating the fluctuation of revenue data over time

By representing each year's revenue data with a different color

What would be the most significant benefit for a hotel to use Composition Charts?

To show how different factors contribute to the total annual revenue

To understand the trends in customer preferences over time

To compare the performance of different departments in the hotel

To display the relationship between customer satisfaction and occupancy rates

When comparing big data and small data, which statement is true?

Small data is more actionable when properly structured.

Small data can never be as beneficial as big data for a hotel chain.

Big data always requires a larger investment than small data.

Big data and small data are the same but just different names.

A hotel chain is planning to expand its services to new geographic regions. Which external data would be most beneficial to study?

Economic and tourism board data

Review aggregator platform data

What role can data visualization play in a hotel's decision to renovate its facilities?

It can highlight trends in customer feedback related to facilities

It can analyze revenue data from the past decade

It can compare the hotel's facilities with competitors' facilities

It can predict the impact of renovation on room rates

How could a hotel use the Principle of Closure in their data visualization?

By representing incomplete data in a way that allows the viewer to perceive a whole

By showing connections between different data sets

By making parts of the visualisation stand out

By filling in gaps in data using estimated figures

In context of colours in data visualization, what could be an implication of using culturally associated colours (like red for danger or green for safety)?

It can enhance the understanding of the data

It can lead to misinterpretation of data

It can decrease the overall appeal of the visualization

It can create a larger file size

A hotel wants to measure the effectiveness of its recent marketing campaign. What form of internal data would be most useful?

Website traffic and booking data post-campaign

In managing a hotel chain, why is it crucial to integrate data from disparate systems of each departmental need?

To gain a holistic view of the hotel's operation

To increase the complexity of data management

To isolate departmental performances

To reduce the efficiency of data analysts

Kunny DHA Quiz 4 & 5

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1st - 5th Grade

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Hard

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You want to visually depict the quarterly sales of different product categories over the past two years. Which chart type would be best suited for this task?

Your dataset consists of the distribution of employee salaries within your organization. Which type of chart would be most appropriate to visualize this data?

You aim to illustrate the percentage of total annual revenue contributed by different business segments. Which chart would best present this data?

You wish to highlight the relationship between a person's height and their weight, and also indicate the person's age. Which chart type would be most fitting for this purpose?

Your task is to compare the monthly performance of two different sales teams over the past year. What chart type would best facilitate this comparison?

You are analyzing a dataset with two variables, and you want to understand if there is any correlation between them. Which chart type would be best for this task?

You have a dataset with multiple categories and you want to show how the individual parts make up the whole. Which chart type is best suited for this task?

You are interested in understanding the trends in stock prices over the last decade. What chart type should you choose?

A line chart has been used to show the total monthly rainfall in a city over a year. However, the city is known to have micro-climates and the distribution of rainfall can vary dramatically within the city. What potential issue might this presentation of data have?

You have been presented with a scatter plot showing the relationship between employee satisfaction and productivity. There is a clear positive correlation, but one outlier shows an employee with extremely high satisfaction but low productivity. How should this outlier be treated?

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