Normal Distribution Clause Samples
The Normal Distribution clause defines how goods, services, or deliverables are to be provided under standard, agreed-upon conditions. Typically, it outlines the expected schedule, quantities, or methods for regular delivery or performance, ensuring both parties understand what constitutes the usual or baseline provision. This clause helps prevent misunderstandings by clearly setting expectations for routine obligations, thereby reducing the risk of disputes over what is considered normal or required under the contract.
Normal Distribution. (a) A Participant’s Account may be paid in any of the following payment forms (check all that apply):
X Option 1 One lump-sum payment; □ Option 2: Equal monthly, quarterly, semi-annual or annual payments in an amount chosen by the Participant, continuing until his or her Account is exhausted;
X Option 3 Approximately equal monthly, quarterly, semi-annual or annual payments, calculated to continue for a period certain chosen by the Participant. X Option 4: Annual Payments equal to the minimum distributions required under Code section 401(a)(9), including the incidental death benefit requirements of Code section 401(a)(9)(G), over the life expectancy of the Participant or over the life expectancies of the Participant and his or her Beneficiary.
Normal Distribution. Legato warrants that it has not Contracted For Support and Updates for the Software during the 90 days preceding the Effective Date in an aggregate amount greater than 30% of its aggregate Contracts For Support and Updates for the Software for the twelve months preceding the Effective Date. CaminoSoft's sole remedy for breach of this warranty shall be to receive 85% of any amounts received in respect of Contracts For Support and Updates that are in excess of such 30% limit for such 90 day period.
Normal Distribution. (a) A Participant’s Account may be paid in any of the following payment forms (check all that apply): X Option 1: One lump-sum payment;
Normal Distribution a standard patterns used in statistics to describe one way in which variability occurs in a population. Octanol-water partition coefficient (Kow) – the equilibrium ratio of the concentrations of a chemical in n-octanol and water, in dilute solution. pKa – the negative log of the hydrogen ion concentration or pH at which 50% of a weak acid is dissociated.
Normal Distribution. For payment of qualified medical expenses; save your receipts Transaction expense Type (please all that apply)
Normal Distribution. A random variable Z is said to be distributed as standard normal if its probability density is pZ(x) = √2πe −x2/2. We denote it as Z (0, 1). A random variable X is said to be distributed as normal with mean µ and variance σ2 if its probability density function is pX(x) = √2πσ2 e−(x−µ)2/2σ2 . We denote it by X ∼ N (µ, σ2). For such X, it is clearly that Z := X − µ ∼ N (0, 1).
Normal Distribution. A Participant may elect to receive a distribution or commence distributions from his Account pursuant to Section 8.2 upon attainment of one of the following ages and may further elect to receive a distribution from his Account pursuant to Section 8.2 either (i) five (5) years following the date of the Participant's termination of service with the Employer, (ii) two
Normal Distribution. The Account of any Participant will normally be distributed in monthly installments which must commence at or within sixty (60) days after the end of the Plan Year in which occurs his Normal Retirement Date (as selected by the Employer in Section II of the Adoption Agreement) or in which his Employment ceases, whichever is later, to continue over a period of one hundred and twenty (120) months, The monthly amount shall normally be the balance of the Participant's Account divided by the remaining number of months in such one hundred and twenty (120) months, all rounded to the nearest cent, However, the amount of each monthly installment may be recomputed and adjusted from time to time no more frequently than monthly as the Trustee may reasonably determine.