Self Studies

Probability Test - 31

Result Self Studies

Probability Test - 31
  • Score

    -

    out of -
  • Rank

    -

    out of -
TIME Taken - -
Self Studies

SHARING IS CARING

If our Website helped you a little, then kindly spread our voice using Social Networks. Spread our word to your readers, friends, teachers, students & all those close ones who deserve to know what you know now.

Self Studies Self Studies
Weekly Quiz Competition
  • Question 1
    1 / -0
    In a construction job, following are some probabilities given:
    Probability that there will be strike is $$0.65$$, probability that the job will be completed on time if there is no strike is $$0.80$$, probability that the job will be completed on time if there is strike is $$0.32$$. Determine probability that the construction job will get complete on time.
    Solution
    Let $$A$$ be the event that the construction job is completed on time and $$B$$ be the event that there is strike.

    $$\Rightarrow P(B)=0.65$$

    Hence probability that there will be no strike $$=P(B')$$
                                                                                $$=1-P(B)$$
                                                                                $$=1-0.65$$
                                                                                $$=0.35$$

    $$\therefore P(B')=0.35$$

    By the Law of Total Probability we have $$P(A)=P(B) \times P(A|B)+P(B') \times P(A|B')$$

    Given, $$P(construction \: job\: is\: completed\: with\: no\: strike)=P(A|B)=0.80$$ 
    and $$P(construction \: job\: is\: completed\: with\:  strike)=P(A|B')=0.32$$

    $$\therefore P(A)=0.65 \times 0.80+0.35 \times 0.32=0.488$$

    Hence the probability that the construction job will get complete on time is $$0.488$$
  • Question 2
    1 / -0
    The events $$E_1, E_2, ........$$ represents the partition of the sample space $$S$$, if they are:
    Solution
    A set of events $$E_1 , E_2 ,...$$  is said to represent a partition of a sample space $$S$$, if 

    $$(a)$$  $$E_i \cap E_j = \phi, i\neq j; i, j = 1, 2, 3,..., n$$  (pairwise disjoint)

    $$(b)$$ $$E_i \cup E_2 \cup ... \cup E_n = S$$ (exhaustive)

    $$(c)$$ Each $$E_i \neq \phi, i.e, P(E_i) > 0$$ for all $$i = 1, 2, ..., n$$ (have non-zero probabilities)

    That is the events should be pairwise disjoint, exhaustive and should have non zero probabilities.

    Hence, option D is correct.
  • Question 3
    1 / -0
    From a city population, the probability of selecting a male or smoker is $$\dfrac {7}{10}$$, a male smoker is $$\dfrac {2}{5}$$ and a male, if a smoker is already selected, is $$\dfrac {2}{3}$$. Then, Probability of selecting a smoker, if a male is first selected
    Solution
    Suppose $$A:$$ a male is selected
    $$B:$$ a smoker is selected
    Given:
    $$P(A\cup B) = \dfrac {7}{10}, P(A\cap B) = \dfrac {2}{5}$$ and $$P\left (\dfrac {A}{B}\right ) = \dfrac {2}{3}$$
    The probability of selecting a smoker.
    $$P(B) = \dfrac {P(A\cap B)}{P\left (\dfrac {A}{B}\right )}$$
    $$= \dfrac {2\times 3}{5\times 2} = \dfrac {3}{5}$$
    The probability of selecting a non-smoker
    So, $$P(B) = 1 - P(B)$$ ... [using conditional probability]
    $$= 1 - \dfrac {3}{5} = \dfrac {2}{5}$$
    The probability of selecting a male
    $$P(A) = P(A\cup B) + P(A\cap B) - P(B)$$
    $$= \dfrac {7}{10} + \dfrac {2}{5} - \dfrac {3}{5}$$
    $$= \dfrac {7 + 4 - 6}{10} = \dfrac {1}{2}$$
    Probability of selecting a smoker, if a male is first selected, is given by
    $$P\left (\dfrac {B}{A}\right ) = \dfrac {P(A\cap B)}{P(A)}$$ ..... [Using conditional probability]
    $$= \dfrac {2}{5}\times \dfrac {2}{1} = \dfrac {4}{5}$$
    Hence, only option C is correct.
  • Question 4
    1 / -0
    If $$A, B, C$$ are three events associated with a random experiment, then $$P(A) P\left (\dfrac {B}{A}\right )P\left (\dfrac {C}{A} \cap B\right )$$ is
    Solution
    $$P(A) P\left (\dfrac {B}{A}\right )P\left (\dfrac {C}{A} \cap B\right )$$

    $$= P(A\cap B) P\left (\dfrac {C}{A}\cap B\right )$$ .......... (using conditional probability)

    $$= \dfrac {P(A\cap B)P[C\cap (A\cap B)]}{P(A\cap B)}$$

    $$= P(A\cap B\cap C)$$ ............. (using conditional probability)

    Hence, option B is correct.
  • Question 5
    1 / -0
    If $$x$$ is a continuous random variable then $$P(x \geq a) = $$
    Solution
    Given $$x$$ is continuous random variable , Let us consider that there are $$n$$ points in total, Since $$x$$ is continuous, $$n\rightarrow \infty $$
    The probability of $$x=a$$ is $$\dfrac{1}{n}\rightarrow 0$$ , therefore $$P(x=a)=0$$
    Which implies $$P(x\ge a) = P(x>a)+P(x=a) = P(x>a)$$
    Therefore the correct option is $$C$$
  • Question 6
    1 / -0

    Directions For Questions

    For the next four (04) items that follow :
    Number $$X$$ is randomly selected from the set of odd numbers and $$Y$$ is randomly selected from the set of even numbers of the set $$\{1, 2, 3, 4, 5, 6, 7\}$$. Let $$Z = (X + Y)$$.

    ...view full instructions

    What is $$P(Z = 5)$$ equal to ? 
    Solution
    Given set $$=\{1,2,3,4,5,6,7\}$$
    $$Z=X+Y$$
    Where $$X$$ is randomly selected from set of odd numbers and 
    $$Y$$ is randomly selected from set of even numbers
    That gives $$Z$$ is odd and greater than one
    Now, for $$Z=5$$
    Possible ordered pairs are  $$\{(1,4),(2,3)\}$$
    Probability of getting these 2 pairs $$=P(1)\times P(4)+P(2)\times P(3)$$
    $$=\cfrac{1}{4}\times \cfrac{1}{3}+\cfrac{1}{4}\times \cfrac{1}{3}$$
    $$=\cfrac{1}{6}$$
  • Question 7
    1 / -0

    Directions For Questions

    For the next four (04) items that follow :
    Number $$X$$ is randomly selected from the set of odd numbers and $$Y$$ is randomly selected from the set of even numbers of the set $$\{1, 2, 3, 4, 5, 6, 7\}$$. Let $$Z = (X + Y)$$.

    ...view full instructions

    What is $$P(Z = 10)$$ equal to ? 
    Solution
    Given set $$=\{1,2,3,4,5,6,7\}$$
    $$Z=X+Y$$
    Where $$X$$ is randomly selected from set of odd numbers and $$Y$$ is randomly selected from set of even numbers.
    Which gives $$Z$$ as odd and greater than one
    Given : $$Z=10$$
    But $$10$$ is even 
    So, $$P(Z=10)=0$$
  • Question 8
    1 / -0
    For two independent events $$A$$ and $$B$$, which of the following pair of events need not be independent?
    Solution
    $$A$$ and $$B$$ are independent event.
    $$\Rightarrow P(A\cap B) = P(A).P(B)$$

    Option A:
    $$P(A'\cap B') $$ $$= P((A\cup B)')\\=1-P(A\cup B)\\=1-[P(A)+P(B)-P(A\cap B)]\\=1-P(A)-P(B)+P(A)P(B)\\=(1-P(A))(1-P(B))\\=P(A')P(B')$$
    Hence, $$A',B'$$ are also independent events.

    Option B:
    $$P(A\cap B')$$ $$=P((A'\cup B)')\\=1-P(A'\cup B)\\=1-[P(A')+P(B)-P(A'\cap B)]\\=1-[1-P(A)+P(B)-P(B)+P(A\cap B)]\\=P(A)-P(A\cap B)\\=P(A)(1-P(B))\\=P(A)P(B')$$
    Hence, $$A,B'$$ are also independent.

    Option C:
    Similar as above, $$A',B$$ can also be proven to be independent.

    Option D:
    Event $$A-B$$ implies the happenings in event $$A$$ which do not occur in event $$B$$.
    Event $$B-A$$ implies the happenings in event $$B$$ which do not occur in event $$A$$.
    From the above, it is clear that $$A-B$$ and $$B-A$$ are mutually exclusive events. Hence $$P((A-B)\cap (B-A)) = 0$$
    Hence, $$A-B,B-A$$ are not independent events.
    Option $$D$$ is the correct answer.
  • Question 9
    1 / -0
    What is the probability that a leap year selected at random contains 53 Mondays ?
    Solution
    In a leap year there will be $$52$$ weeks and $$2$$ days. 
    So, there will be $$52$$ Mondays fix.
    Now that pair of $$2$$ days can be 
    Monday and Tuesday
    Tuesday and Wednesday 
    Wednesday and Thursday 
    Thursday and Friday
    Friday and Saturday
    Saturday and Sunday
    Sunday and Monday
    There are $$7$$ possibilities, out of which $$2$$ has Mondays.
    So, the probability that a leap year has $$53$$ Mondays $$=\dfrac { 2 }{ 7 }$$ 
    Hence, option B is correct.
  • Question 10
    1 / -0
    Suppose A and B are two events. Event B has occured and it is known that $$P(B) <1$$. What is $$P(A|B^c)$$ equal to?
    Solution
    Given that $$A$$ and $$B$$ are two events and event $$B$$ has occured,
    From the division rule of probability we know that $$P\left(\dfrac { A }{ B } \right)=\dfrac { P(A\cap B) }{ P(B) } $$,
    similarly,
    $$P\left(\dfrac { A }{ { B }^{ c } }\right )=\dfrac { P(A\cap { B }^{ c }) }{ P({ B }^{ c }) } $$

    $$\\ \Longrightarrow \dfrac { P(A)-P(A\cap B) }{ 1-P(B) } $$

Self Studies
User
Question Analysis
  • Correct -

  • Wrong -

  • Skipped -

My Perfomance
  • Score

    -

    out of -
  • Rank

    -

    out of -
Re-Attempt Weekly Quiz Competition
Self Studies Get latest Exam Updates
& Study Material Alerts!
No, Thanks
Self Studies
Click on Allow to receive notifications
Allow Notification
Self Studies
Self Studies Self Studies
To enable notifications follow this 2 steps:
  • First Click on Secure Icon Self Studies
  • Second click on the toggle icon
Allow Notification
Get latest Exam Updates & FREE Study Material Alerts!
Self Studies ×
Open Now