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Statistics Test - 25

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Statistics Test - 25
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  • Question 1
    1 / -0
    Median is based on the...
    Solution
    Median, by definition is the term that 
    occurs in the middle. Hence it depends upon 
    the middle 50% of the given items.

  • Question 2
    1 / -0
    The mode of the distribution 
    Marks45678
    No. of students 671083
    Solution
    $$\Rightarrow$$  Mode is a number which occurs maximum number of times.
    $$\Rightarrow$$  Here, in given frequency table we can see, maximum marks obtained by students is $$6$$
    $$\therefore$$   $$Mode=6$$
  • Question 3
    1 / -0
    If in a frequency distribution the mean and median are $$25$$ and $$26$$ then its mode is ________
    Solution
    As we know that,
    $$\text{Mode} = 3 \text{ Median} - 2 \text{ Mean}$$
    Given:-
    Mean $$= 25$$
    Median $$= 26$$
    Therefore,
    Mode $$= 3 \times 26 - 2 \times 25 \\ = 78 - 50 = 28$$
  • Question 4
    1 / -0
    The lower limit of the modal class of the following data is:
    Class interval
    $$5 - 10$$
    $$10 - 15$$
    $$15 - 20$$
    $$20 - 25$$
    $$25 - 30$$
    $$30 - 35$$
    Frequency
    $$5$$
    $$15$$
    $$6$$
    $$10$$
    $$14$$
    $$9$$

    Solution
    Modal class is the class that has the highest frequency.
    The highest frequency in the table is $$15$$ which occurs in the interval $$10-15$$.
    The lower limit is the smallest in the class interval.
    Therefore, the lower limit in the class interval $$10-15$$ is $$10$$.
  • Question 5
    1 / -0
    The lower limit of the modal class of the following data is :
    C. I.
    0 - 10
    10 - 20
    20 - 30
    30 - 40
    40 - 50
    Frequency
    5
    8
    13
    7
    6

    Solution
    Modal is the class which has the highest frequency.
    Therefore, the highest frequency is $$13$$ which occurs in the interval $$20-30$$
    Lower limit of the class is the smallest value of the class.
    Therefore, the lower limit of the class $$20-30$$ is $$20$$

  • Question 6
    1 / -0
    The mean of $$25$$ observations is $$36$$. Out of these observations if the mean of first $$13$$ observations is $$32$$ and that of the last $$13$$ observations is $$40$$, the $$13$$th observation is :
    Solution
    Mean of $$25$$ observations =$$ 36$$
    Sum of $$25$$ observations = $$36\times25 = 900$$
    Mean of first $$13$$ observations= $$32$$
    Sum of first $$13$$ observations = $$32\times13 = 416$$
    Mean of Last $$13$$ observation=$$40$$
    Sum of Last 13 observations = $$40\times13$$ = $$520$$

    Sum of first$$13$$ observation+ Sum of last$$13$$ obs $$-$$ $$13$$th observation$$=$$ Total sum of $$25$$  observations
    $$416 +520 - 13th\  observation = 900$$
    • $$13$$ th observation  $$ =36$$
  • Question 7
    1 / -0
    In a moderately skewed distribution the values of mean and median are $$4$$ and $$5$$  respectively. The value of mode is approx.
    Solution
    Mode = $$3\times$$ median $$- 2\times$$ mean 
    $$=3 \times 5 - 2 \times 4$$
    $$= 1 5 - 8 = 7$$
    Hence, option 'D' is correct.
  • Question 8
    1 / -0
    The abscissa of the point of intersection of the less than type and of the more than type cumulative frequency curves of a grouped data gives its:
    Solution
    The ogive is the free hand graph. 
    The abscissa (X-coordinate) of the intersection of the less than ogive and more than ogive gives the median of the data.
    In the above graph, the intersection point is $$(15,40)$$. The X-coordinate $$15$$ is the median.

  • Question 9
    1 / -0
    The median of the following data is :

    Solution
    Number of $$x$$ values is $$2+3+2+3+1=11$$ (odd number).
    Since, the total values are odd. There the median occurs at the $$\dfrac{n+1}2=\left(\dfrac{11+1}{2}\right)^{th}=6^{th}$$ position.
    The position is calculated by adding the frequencies.

     $$x:$$ 10 20 30 40 50
     $$f:$$ 2 3 2 3 1
     position 2 2+3=5 5+2=7 7+3=10 10+1=11
    $$6^{th}$$ position is after $$5^{th}$$ position and before $$7^{th}$$. Therefore the median is $$30$$.
  • Question 10
    1 / -0
    The relation connecting the measures of central tendencies is :
    Solution
    In statistics, central tendency is the central value for a probability distribution.

    The most common measures of central tendencies are mean, median and mode.

    The relation between mean median and mode is given by the empirical formula $$mode=3median-2mean$$
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