4. We have studied about experimental probabilities of events which
were based on the result of actual experiments.
now we will discussed an experiment of tossing a coin 1000 times in
which the frequencies of the outcomes are :-
HEAD : 455.
TAIL : 545.
5. According to this experiment, the empirical
probability of a head is 455/1000 that is 0.455 &
that getting of tail is 0.545.
This is called the experimental or empirical
probabilities.
It is based on the results of actual experiments
and adequate recordings of the happening of
the events , & these probability are only
‘estimates’.
6. a. If we have tossed a coin 4o4o times & got
2048 heads. The experimental probability of
getting a head, in this case , was 2048/4040,i.e
0.507.
b. Next time we tossed 1oooo times head comes
5067 times & the probability of getting head is
5067/10000=0.5067.
So, we conclude that different times we get
different probability .
8. Probability of an sure of an sure event
is1.
Probability of impossible event is O.
Probability never be in negative and
never lie b/w the 1to2.
9.
10. By using the
probability we
can predict
whether the
weather will
clear or it will
rain
14. It is one of the playing material
used in various indoor games.
it is a solid cube having 6
faces on each the no. with dots
are placed on each face from 1
to 6.
A dice played in a game only
having a probability of the no.
to step ahead.
15. No. of total outcomes
in a dice.
• As the SIX faced are
engrained with no.
1to6, hence the total
outcomes in a dice is
of faces or 6 no.
16. No. favorable outcomes in a
dice.
• It can be any no. from 1to6
which can leads to probability
from 0to6.
Note: Probability of any out
come just lie b/w 0to1 and at
any other values.
