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What is the mode in the discrete data set of idle days: 2, 6, 2, 4, 1, 4, 3, 1, 1?
Which measure of centrality represents the middle value of a data set when ordered?
In the calculation of the mean, what does the symbol $ ext{∑}$ represent?
What type of data is characterized by individual values such as people or cars?
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What is the mean of the number of idle days based on the grouped data for 95 cars?
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Which of the following correctly describes continuous data?
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What is the median of the discrete data set: 1, 1, 1, 2, 2, 3, 4, 4, 6?
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How is the mean calculated for grouped data?
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What is the inter-quartile range of idle days for the 95 staff cars?
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What is the semi-inter-quartile range for the idle days of the staff cars?
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What is the standard deviation for the sample of 95 staff cars?
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If the range of idle days is from 0 to 6, what is the total range?
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What is the mid-value of the value range for users of £63 but less than £64?
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How many users fall into the range of £62 but less than £63?
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What is the total count of car users in the provided data for the fuel invoices?
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What is the value of 'fx' for the mid-value of £60.5 per 5 users?
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What is the modal class of car values based on the provided data?
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What is the mean value of the car prices based on the data?
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How is the standard deviation for a population calculated?
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What does the semi-inter-quartile range represent?
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In the example given, what is the range of idle days for the nine members of staff?
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What represents the frequency in the context of standard deviation calculation?
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What is the inter-quartile range for the example of idle days provided?
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Which statistical measure reflects the average spread of the data around the mean?
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When using sample standard deviation, what adjustment is made to the sample size in the denominator?
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Which measure of spread would be appropriate if all data points are known?
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What is the semi-inter-quartile range for the given data?
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Which car value has the highest number of users?
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What is the total number of users in the sample?
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What does the histogram indicate about the frequency of car mileages in the range of 120 to 130 miles?
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From the summarized statistics, which value is used as a population estimator?
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How is the mode estimated using the histogram?
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Which range of car values includes a total of 4 users?
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What is the estimated mode of car mileages according to the histogram?
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What does the inter-quartile range indicate in a data set?
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Which statistic should be used for ordinal data to represent variability?
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If the median value is $146$ miles, what does this indicate about the data set?
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What is the upper quartile value in the given data set?
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Which measure is most appropriate for representing the central tendency of interval data?
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Study Notes
Numerical Data Summary
- Data can be summarised by two parameters: measures of centrality and measures of spread.
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Measures of Centrality indicate a typical or central value.
- Mode: The most frequently occurring value in a dataset.
- Median: The middle value of a dataset ordered from smallest to largest.
- Mean: The arithmetic average of all values in a dataset.
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Measures of Spread show how widely the data is distributed around its center.
- Range: The difference between the largest and smallest values.
- Inter-quartile Range (IQR): The range of the middle 50% of the data.
- Semi-inter-quartile Range (SIQR): Half the value of the IQR.
- Standard Deviation: A measure of the average deviation of data points from the mean.
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Standard Deviation can be calculated for both populations and samples.
- Population Standard Deviation (σ): A measure of the spread of data in an entire population.
- Sample Standard Deviation (s): An estimate of the population standard deviation based on a sample of data.
- The choice of the most appropriate measure of centrality and spread depends on the type of data.
- For ordinal data, use the median and IQR.
- For interval or ratio data, use the mean and standard deviation.
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Graphical representations of data can be used to estimate summary statistics.
- Histograms can be used to estimate the mode.
- Cumulative frequency diagrams (ogives) can be used to estimate the median and interquartile range.
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Description
This quiz covers the key concepts of measures of centrality and spread used in summarizing numerical data. You'll explore the mode, median, and mean, along with range, inter-quartile range, and standard deviation. Test your understanding of these essential statistical measures and their applications.