fixed.csv

Question,A,B,C,D,CorrectAnswer,Explanation "A data analyst is reviewing the monthly expenses of 50 households. Most expenses range between \$2,000 and \$5,000, but there are a few households with expenses over \$15,000. What should the analyst do first to identify these high expenses?",Calculate the...

Question,A,B,C,D,CorrectAnswer,Explanation "A data analyst is reviewing the monthly expenses of 50 households. Most expenses range between \$2,000 and \$5,000, but there are a few households with expenses over \$15,000. What should the analyst do first to identify these high expenses?",Calculate the mean and standard deviation,Create a box plot of the expenses,Generate a scatter plot against household size,Build a histogram of the expenses,B,"Creating a box plot allows the analyst to visually identify outliers by showing values outside the whiskers, making it easy to spot the households with expenses over \$15,000." "You have a dataset of exam scores for 30 students. The scores range from 40 to 100, with most scores between 60 and 90. How would you determine if there are any unusually low or high scores?",Calculate the mean and identify scores beyond one standard deviation,Create a stem-and-leaf plot,Use the IQR method with a box plot,Plot a scatter plot of scores,C,"Using the IQR method with a box plot helps identify outliers by determining scores that fall below Q1 - 1.5×IQR or above Q3 + 1.5×IQR, effectively highlighting unusually low or high scores." A researcher is analyzing the lifespans of two different brands of light bulbs. She has collected data for 100 bulbs from each brand. She wants to compare the central tendency and variability between the two brands. Which visualization should she use?,Two separate histograms,Side-by-side box plots,Scatter plot comparing brands,Two separate stem plots,B,"Side-by-side box plots allow the researcher to compare the median, quartiles, and variability of lifespans between the two brands, as well as identify any outliers." "An economist is studying income distribution in a city. She notices that while most incomes range between \$30,000 and \$80,000, there are a few incomes exceeding \$500,000. Which measure should she use to understand the spread of the majority of incomes without being affected by the high earners?",Range,Standard Deviation,Interquartile Range (IQR),Variance,C,"The Interquartile Range (IQR) measures the spread of the middle 50% of the data, making it a robust measure that is not affected by extreme outliers like incomes exceeding \$500,000." "A manager is analyzing the time taken by employees to complete a task. The times range from 10 minutes to 120 minutes, with most employees taking between 20 and 60 minutes. She wants to identify any employees who took an unusually long time. What should she do?",Calculate the mean and mark times beyond one standard deviation,Create a box plot to visualize the distribution,Generate a scatter plot of time vs. employee ID,Build a histogram of the completion times,B,"A box plot will clearly show the distribution of completion times and highlight any outliers beyond the whiskers, making it easy to identify employees who took unusually long." "You are given a dataset of 200 customer ages at a retail store. Most customers are between 25 and 45 years old, but there are a few customers aged over 80. Which measure of central tendency is most appropriate to describe the typical customer age?",Mean,Median,Mode,Range,B,The median is less affected by extreme values (outliers) and provides a better measure of central tendency when the dataset has outliers like ages over 80. A data scientist is working with a dataset that has a highly skewed distribution. She wants to summarize the spread of the central part of the data. Which measure should she use?,Range,Standard Deviation,Interquartile Range (IQR),Mean Absolute Deviation,C,"The Interquartile Range (IQR) is ideal for summarizing the spread of the central part of the data, especially in skewed distributions, as it is not influenced by extreme values." A business analyst is comparing the sales figures of two different regions. Each region has sales data for 50 products. She wants to identify which region has more variability in sales and spot any outliers. Which visualization should she use?,Side-by-side histograms,Side-by-side box plots,Scatter plots for each region,Stem plots for each region,B,Side-by-side box plots allow the analyst to compare the variability and identify outliers in sales figures between the two regions effectively. "You are analyzing the distribution of delivery times for a logistics company. Most deliveries are completed within 1 to 3 days, but there are a few that take up to 10 days. To understand the typical delivery time and identify any delays, what should you do first?",Calculate the mean and standard deviation of delivery times,Create a box plot of delivery times,Generate a scatter plot of delivery time vs. distance,Build a histogram of delivery times,B,"Creating a box plot will help you visualize the typical delivery time, the spread of the data, and easily identify any outliers representing delays." "A health researcher is studying the blood pressure of patients. She has collected systolic blood pressure readings from 100 patients. Most readings are between 110 and 140 mmHg, but a few are above 180 mmHg. How should she summarize the spread of the majority of the blood pressure readings?",Calculate the range (max - min),Use the standard deviation,Determine the interquartile range (IQR),Find the variance,C,"The interquartile range (IQR) summarizes the spread of the middle 50% of the data, providing a robust measure that is not affected by the extreme high readings." "A teacher has recorded the time (in minutes) it takes 25 students to complete a test. The times range from 15 to 90 minutes, with most students taking between 30 and 60 minutes. She wants to identify any students who took significantly longer than others. What should she do?",Calculate the mean and identify times beyond two standard deviations,Create a box plot of the completion times,Generate a scatter plot of time vs. student ID,Build a histogram of the completion times,B,A box plot will visually display the distribution of completion times and easily highlight any outliers who took significantly longer than the rest. "An HR manager is analyzing the salaries of employees across different departments. She notices that while most salaries range between \$50,000 and \$100,000, there are a few salaries above \$200,000. Which measure should she use to understand the typical salary without being influenced by the high salaries?",Mean salary,Median salary,Mode salary,Range of salaries,B,"The median salary is a better measure of central tendency in the presence of outliers, as it is not skewed by extremely high salaries." "A data analyst is examining the number of daily website visits for a month. Most days have between 1,000 and 5,000 visits, but a few days have up to 20,000 visits. To summarize the typical number of visits and identify any unusually high traffic days, what should the analyst use?",Calculate the mean and standard deviation,Create a box plot of daily visits,Generate a scatter plot of visits vs. day,Build a histogram of daily visits,B,A box plot will effectively summarize the typical number of visits and highlight any unusually high traffic days as outliers. "A project manager is tracking the completion times of 100 tasks. Most tasks are completed within 2 to 8 hours, but a few take up to 20 hours. She wants to understand the spread of task completion times and identify any tasks that took unusually long. What should she do?",Calculate the mean and identify times beyond two standard deviations,Create a box plot of completion times,Generate a scatter plot of time vs. task ID,Build a histogram of completion times,B,A box plot will provide a clear summary of the distribution of completion times and highlight any tasks that took unusually long as outliers. "A researcher is studying the distribution of heights in a population. The heights range from 150 cm to 200 cm, with most individuals between 160 cm and 190 cm. She wants to identify any exceptionally short or tall individuals. Which measure and visualization should she use?",Calculate the mean and standard deviation and use a histogram,Determine the median and create a box plot,Find the mode and generate a stem plot,Calculate the range and build a scatter plot,B,"Determining the median provides a central tendency measure that is not affected by outliers, and creating a box plot will visually highlight any exceptionally short or tall individuals." "A data scientist is analyzing the distribution of salaries in a tech company. Most salaries range between \$60,000 and \$120,000, but there are a few salaries above \$300,000. To understand the spread of the majority of salaries and identify outliers, what should the scientist do?",Calculate the mean and standard deviation,Create a box plot of the salaries,Generate a scatter plot of salary vs. employee ID,Build a histogram of the salaries,B,"A box plot will summarize the spread of the majority of salaries and clearly identify any outliers above \$300,000." "An analyst is reviewing the time it takes for customers to receive their orders. Most orders are delivered within 3 to 7 days, but some take up to 20 days. To assess the typical delivery time and spot any delays, which approach should the analyst take?",Calculate the mean and use a histogram,Determine the median and create a box plot,Find the mode and generate a stem plot,Calculate the range and build a scatter plot,B,"Determining the median provides a central measure that is not skewed by delays, and a box plot will visually summarize the distribution and highlight any delayed deliveries as outliers." A teacher wants to compare the test scores of her class to the school average. She has her class's 25 scores and the school's 300 scores. Which measure and visualization should she use to compare the central tendency and variability effectively?,Calculate the mean for both and use separate histograms,Determine the median for both and create side-by-side box plots,Find the mode for both and generate stem plots,Calculate the range for both and build scatter plots,B,"Determining the median for both datasets provides a robust measure of central tendency, and side-by-side box plots allow for an effective comparison of distribution, variability, and outliers between her class and the school average." "A financial analyst is examining the returns of different investment portfolios. Most portfolios have returns between -10% and +15%, but a few have returns exceeding +50% or dropping below -30%. To summarize the distribution and identify extreme returns, what should the analyst do?",Calculate the mean and standard deviation,Create a box plot of the returns,Generate a scatter plot of returns vs. portfolio ID,Build a histogram of the returns,B,A box plot will effectively summarize the distribution of returns and clearly identify any extreme returns as outliers beyond the whiskers.