Average Speed in Various Cases, Physics, Basic Statistics

Assignment Help:
Define Average Speed in Various Cases

(a) Particles covering different distances in different times say a particle covers s1 distance in time t1 ,s2 in time t2, s3 in time t3 and so on then average speed is

v = s1 + s2 + s3+……. /t1 + t2+ t3……. = s1 + s2+ s3+……/s1/v1 + s2/v2 + s3/v3+……

Special case

If s1 = s2 = s

v = 2s/s (1/v1 + 1/v2) = 2v1 v2/v1 + v2 (harmonic mean)

(b) Bodies moving with different speeds in different intervals of time a body moves with velocity v1 on time t1, v2 in time t2, v3 in time t3 and so on then

v = v1 t1 + v2 t2 + v3 t3 +….. /t1 + t2 + t3 +…..

Special case

if t1 = t2 = t3…..t (say) then

v = v1 + v2 + v3+….vn (arithmetic mean)

Units of speed or velocity me-1 in SI, cms-1 in CGS and fts-1 on FPS. Dimensional formula (LT-11)

Acceleration the time rate of change of velocity is called acceleration.

A = dv/dt

(a) Uniform acceleration a body is said to moves with uniform acceleration if acceleration remains constant throughout the motion and direction of motion does no change with time, that is,

(i) A = dv/dt = constant

(ii) Direction of motion remains unchanged.

(b) Variable or non-uniform acceleration if the acceleration is not constant or if the acceleration is constant but direction of motion varies or both vary. The particle is said to posses variable acceleration

Unit of acceleration ms-2 in SI system, cms-2 in Cos system fts-2 FPS system

Dimensional formula of acceleration [LT-2]

Related Discussions:- Average Speed in Various Cases, Physics

Illustrate linear correlation, Q. Illustrate Linear Correlation? Ans. ...

Q. Illustrate Linear Correlation? Ans. In bivariate studies we are often interested in finding out whether there is a relationship between two sets of data. Are SAT score

Calculate regression analysis, Questions In a regression analysis, a nu...

Questions In a regression analysis, a nurse researcher found a correlation of .82 between pain relief scores and satisfaction with nursing care.  She also calculated the follow

compare the quality of the different estimations, To illustrate the import...

To illustrate the importance of model selection. We will use only the first four observations to estimate the function f such that ini t. h = f(h. d) for two different models.

Logistic regression model, Model 1:  Let's consider the logistic regression...

Model 1:  Let's consider the logistic regression model, which we will refer to as Model 1, given by log(pi / [1-pi]) = 0.25 + 0.32*X1 + 0.70*X2 + 0.50*X3

QUANTITATIVE METHODS, KINDLY ASSIST ME WITH THIS ASSIGNMENT AND FORWARD IT ...

KINDLY ASSIST ME WITH THIS ASSIGNMENT AND FORWARD IT TO ME BY 31 OCTOBER 2013.

Allocation surrounding to accounts, Allocation surrounding to accounts An a...

Allocation surrounding to accounts An aspect of a lump-sum appropriation that is specific for expenses by particular government models and/or for particular requirements, actions,

Var representation of sutse model, Dear expert, Assume that we have a multi...

Dear expert, Assume that we have a multivariate unobserved component model (or SUTSE, seemingly unrelated time series equation model) in STATE SPACE form, that is: Y(t) = H A(t) +

Comparing Two Samples, Ask qComparing Two Samples: 1. Apply the function "p...

Ask qComparing Two Samples: 1. Apply the function "plot" to the formula that relates the response "frequency" to the explanatory variable "march2007" in order to produce the two bo

Difference between estimated proportions of business owners, Question 1. In...

Question 1. In 2009, Research New Zealand conducted a survey on small businesses in New Zealand. Small businesses were defined as enterprises with 19 or fewer employees. 501 small

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd