Solutions of Unit 6 Basic Statistics

In this post, we present the Solutions of Unit 6: Basic Statistics for 10th class math, designed to help you master this foundational topic. Inside this unit, students will learn essential statistical concepts, including constructing grouped frequency tables, creating histograms and frequency polygons, and calculating central tendencies like the arithmetic mean, median, and mode. Students will also explore measures of dispersion, such as variance and standard deviation, as well as techniques for estimating median and mode graphically. Additionally, a set of practice MCQs is included to test your understanding of the concepts covered. To make it easy for you to review, we have embedded a PDF with step-by-step solutions for each exercise, ensuring a thorough understanding of each topic.

Unit 6 Basic Statistics

Solutions of Unit 6 Basic Statistics of Class 10 math will help students understand following concepts:

  1. Grouped Frequency Table:
  • Constructing Grouped Frequency Table: Organizing raw data into a table that groups values into intervals (class intervals) with their corresponding frequencies.

2. Histograms:

  • Constructing Histograms:
    • With Equal Class Intervals: A bar graph where each bar represents the frequency of data within equal intervals.
    • With Unequal Class Intervals: Similar to the above but adapted for intervals of different sizes.

3. Frequency Polygon:

  • Constructing a Frequency Polygon: A line graph that shows the frequencies of the different intervals by connecting the midpoints of the tops of the bars in a histogram.

4.Cumulative Frequency Table:

  • Constructing a Cumulative Frequency Table: A table showing the cumulative totals of frequencies as you move through the intervals.

5.Cumulative Frequency Polygon:

  • Drawing a Cumulative Frequency Polygon: A graphical representation of cumulative frequency using a line graph.

6.Measures of Central Tendency:

  • Arithmetic Mean:
    • By Definition: The sum of all data values divided by the number of values.
    • Using Deviations from Assumed Mean: Calculating the mean by assuming a value as the mean and adjusting for deviations.
  • Median: The middle value when data is arranged in ascending or descending order.
  • Mode: The most frequently occurring value in a data set.
  • Geometric Mean: The nth root of the product of n values, used for data sets involving rates or ratios.
  • Harmonic Mean: The reciprocal of the arithmetic mean of the reciprocals of the data values, useful in calculating averages of rates.

7.Properties of Arithmetic Mean:

  • Recognizing Properties: Understanding the characteristics of the arithmetic mean, such as sensitivity to outliers.

8.Weighted Mean and Moving Averages:

  • Weighted Mean: The mean where each value has a weight reflecting its importance.
  • Moving Averages: Calculating averages over specific intervals in time-series data to smooth out fluctuations.

9.Graphical Estimation:

  • Estimating Median, Quartiles, and Mode Graphically: Using graphs like ogives and histograms to estimate these measures.

10.Measures of Dispersion:

  • Range: The difference between the highest and lowest values in the data set.
  • Variance: The average of the squared deviations from the mean, representing data spread.
  • Standard Deviation: The square root of the variance, showing the typical distance of data points from the mean.
    Formulas of all these topics are listed here

This Solutions of Unit 6 Basic Statistics equips students with essential tools for analyzing and interpreting data, which is crucial for various fields such as economics, business, and science. Here is a You tube link for this units 6 basic statistics video lectures. Interested in trigonometry? we are heading there starting from Unit 7 solutions.


Multiple Choice Questions Test for unit 6 Basic Statistics

Challenge yourself with our MCQ test for Unit 6 Basic Statistics. This quiz is designed to help you review and reinforce the core concepts covered in this unit, such as constructing grouped frequency tables, creating histograms and frequency polygons, and calculating key measures like the mean, median, and mode. You’ll also find questions on measures of dispersion, including variance and standard deviation, which are essential for understanding data spread. This test provides a great way to assess your understanding, identify any areas for improvement, and solidify your grasp of basic statistics before moving forward. Dive in and see how well you know the material!

Unit 6 MCQs Test for 10 Class Math

1 / 22

A grouped frequency table is also called

2 / 22

A histogram is a set of adjacent

3 / 22

A frequency polygon is a many-sided

4 / 22

A cumulative frequency table is also called

5 / 22

In a cumulative frequency polygon, frequencies are plotted against

6 / 22

Arithmetic mean is a measure that determines a value of the variable under study by dividing the sum of all values of the variable by their

7 / 22

A deviation is defined as a difference of any value of the variable from a

8 / 22

A data in the form of frequency distribution is called

9 / 22

Mean of a variable with similar observations, say constant k, is

10 / 22

Mean is affected by change in

11 / 22

Mean is affected by change in

12 / 22

Sum of the deviations of the variable X from its mean is always

13 / 22

The nthn^{\text{th}} positive root of the product of the x1,x2,x3,...,xnx_1, x_2, x_3, ..., x_n observations is

14 / 22

The value obtained by reciprocating the mean of the reciprocal of x1,x2,x3,...,xnx_1, x_2, x_3, ..., x_n observations is called

15 / 22

The most frequent occurring observation in a data set is called

16 / 22

The measure which determines the middlemost observation in a data set is called

17 / 22

The observations that divide a data set into four equal parts are called

18 / 22

The spread or scatter of observations in a data set is called

19 / 22

The measures that are used to determine the degree or extent of variation in a data set are called measures of

20 / 22

The extent of variation between two extreme observations of a data set is measured by

21 / 22

The mean of the squared deviations of

xix_i

(i = 1, 2, ..., n) observations from their arithmetic mean is called

22 / 22

The positive square root of the mean of the squared deviations of xix_i(i = 1, 2, ..., n) observations from their arithmetic mean is called

Your score is

The average score is 0%

0%

Similar Posts

Leave a Reply

Your email address will not be published. Required fields are marked *