Behind Every Success There Are a Lot of Failures! #Shorts #Magnetbrains #ChotiMotivation

Consider 5 independent Bernoulli.s trials each with probability of success p.If the probability of at least one failure is greater than or equal to (31)/(32), then p lies in the interval : (1)((1)/(2),(3)/(4)] (2) ((3)/(4),(11)/(12)] (3) [0,(1)/(2)] (4) ((11)/(12),1]

If in a trial the probability of success is twice the probability of failure. In six trials the probability of at least four successes is

A pair of dice is thrown 4 xx.If getting a total of 9 in a single throw is considered as a success,then the mean and the variance of the number of failures are respectively

The outcomes of an experiment classified as success A or failure A will follow a binomial distribution, if

Assertion: Every collision of reactant molecule is not successful. Reason: Every collision of reactant molecule with proper orientation is successful one.

In an examination, the success to failure ratio was 5 : 2. Had the number of failures been 14 more, then the success to failure ratio would have been 9 :5. The total number of candidates who appeared for the examination was : एक परीक्षा में, सफलता और असफलता का जनुपात 5 : 2 था | यदि असफल अभ्यर्थी की संख्या 14 अधिक होती , तो सफलता और असफलता का अनुपात 9 : 5 होता | इस परीक्षा में कुल कितने अभ्यर्थी शामिल हुए थे ?