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Critical Thinking Questions: Measures of Central Tendency - Mean, Median and Mode

Statements Based Questions

Q1: Calculate the new mean if the number x is added to the data set with a current mean of m and n observations.
Statement 1: New mean = (mn + x) / n
Statement 2: New mean = (mn + x) / (n + 1)
Statement 3: New mean = m + x / n
(a)
Only 1
(b) Only 2
(c) Only 3
(d) Only 1 and 3

Q2: The concept of median is illustrated. If the number (n) of observations arranged in ascending order, which of the following statements correctly describes how to find the median?
Statement 1: If n is odd, the median is the (n + 1)/2 th observation.
Statement 2: If n is even, the median is the average of the (n/2) th and (n/2 + 1) th observations.
Statement 3: The median is affected by extremely high or low values in the dataset, unlike the mean.
(a)
Only 1
(b) Only 2
(c) Only 1 and 3
(d) All 1, 2, and 3

Q3: Consider the following set of numbers: {3, 5, 6, 9, 8, 5}. After arranging the data in ascending order and calculating the median and lower quartile (Q1), which of the following statements are true?
Statement 1: The median of the dataset is 5.5.
Statement 2: The lower quartile (Q1) is 5.
Statement 3: The upper quartile (Q3) is greater than the median.
(a)
Only 1
(b) Only 2
(c) Only 1 and 3
(d) All 1, 2, and 3

Q4: A class of 60 students has their heights recorded. If the median height is 154.5 cm and the upper quartile is 155 cm, which of the following statements are true about the height distribution?
Statement 1: At least 50% of the students are 154.5 cm tall or shorter.
Statement 2: At least 25% of the students are taller than 155 cm.
Statement 3: The interquartile range of the students' heights is 2 cm.
(a)
Only 1
(b) Only 2
(c) Only 1 and 3
(d) All 1, 2, and 3

Q5: Given the steps for estimating the mode from a histogram:
Statement 1: To estimate the mode, you need to draw straight lines from the corners of the modal class rectangle to the opposite corners of the highest rectangles on either side.
Statement 2: The point where the two lines intersect the x-axis gives the mode directly.
Statement 3: The mode can be estimated from a histogram regardless of whether the frequency distribution is continuous or discrete.
(a)
Only 1
(b) Only 2
(c) Only 1 and 3
(d) Only 3

Q6: For constructing an ogive from the given frequency distribution, identify the correct statements:
Statement 1: An ogive is a graph that represents the cumulative frequency of each class interval.
Statement 2: The cumulative frequency is plotted against the upper-class limit of each interval on the x-axis.
Statement 3: The less than ogive will show a descending curve when plotted.
(a)
Only 1
(b) Only 2
(c) Only 1 and 2
(d) Only 2 and 3

Q7: For a distribution of marks obtained by 200 students, if the lower quartile is represented by a point on the ogive graph with coordinates (42, 50), what does this indicate?
Statement 1: 50 students scored less than 42 marks.
Statement 2: 42 marks is the minimum score obtained by the top 75% of students.
Statement 3: The lower quartile corresponds to the score below which 25% of the students scored.
(a)
Only 1
(b) Only 2
(c) Only 1 and 3
(d) All 1, 2, and 3

Q8: 35 marks, using the ogive, it was determined that 34 students scored below 35 marks. Consider the following statements:
Statement 1: 34 students failed the examination.
Statement 2: The point on the ogive representing 35 marks on the x-axis indicates the number of students who did not pass.
Statement 3: The percentage of students who did not pass the examination can be calculated as (34/200) × 100%.
(a)
Only 1
(b) Only 2
(c) Only 1 and 3
(d) All 1, 2, and 3

Q9: Calculate the new mean if the number x is added to the data set with a current mean of m and n observations.
New mean = (mn + x) / (n + 1)
New mean = (mn + x) / n
New mean = m + x / n
(a)
Only 1
(b) Only 2
(c) Only 3
(d) Only 1 and 3

Q10: Consider the following statements regarding the calculation of the mean:
Statement 1: For grouped data, the mean can be found by multiplying each midpoint of a class by the class frequency and dividing the sum of these products by the total number of observations.
Statement 2: When all observations in a data set are multiplied by a constant, the mean of the data set is also multiplied by that constant.
Statement 3: The arithmetic mean is not affected by extreme values in the data set.
(a)
Only 1
(b) Only 1 and 2
(c) Only 2 and 3
(d) All 1, 2, and 3

The document Critical Thinking Questions: Measures of Central Tendency - Mean, Median and Mode is a part of the Class 10 Course Mathematics Class 10 ICSE.
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FAQs on Critical Thinking Questions: Measures of Central Tendency - Mean, Median and Mode

1. What are measures of central tendency?
Ans. Measures of central tendency are statistical values that represent the centre or typical value of a dataset. The three main measures are the mean, median, and mode, each providing different insights into the data's distribution.
2. How is the mean calculated, and what does it represent?
Ans. The mean is calculated by adding all the values in a dataset and dividing the sum by the number of values. It represents the average value and is sensitive to extreme values, which can skew the result.
3. What is the difference between the median and the mean?
Ans. The median is the middle value when the data is arranged in ascending or descending order, while the mean is the average of all values. The median is less affected by outliers and can provide a better central value in skewed distributions.
4. How is the mode determined, and what is its significance?
Ans. The mode is the value that appears most frequently in a dataset. It is significant as it indicates the most common value, which can be useful in understanding trends and patterns within the data.
5. When should each measure of central tendency be used?
Ans. The mean is best used with normally distributed data without outliers, the median is ideal for skewed distributions or when outliers are present, and the mode is useful for categorical data or to identify the most common value in a dataset.
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