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New answer posted

4 months ago

0 Follower 6 Views

P
Payal Gupta

Contributor-Level 10

Po2 = PTotalPN2

= 25 – 20 = 5bar

Po2nO2nO2+nNe*PTotal

5= (x/32x/32+20020)*25x=80gm

New answer posted

4 months ago

0 Follower 4 Views

P
Payal Gupta

Contributor-Level 10

m = 10g

l=50cm

A = 2mm2

Y = 1.2 * 1011N/m2

Δx=x*105m

As,  TA=YΔxl

Δx=TlAY

Tl=V2m

V2mAY

=3600*10*1032*106*1.2*1011=1800*103*1061.2

=1812*104=32*104=15*105m

So, x = 15

New answer posted

4 months ago

0 Follower 2 Views

P
Payal Gupta

Contributor-Level 10

Modulating signal → 2sin (6.28 * 106)t

Carrier signal     → 4 sin (12.56 * 109)t

New answer posted

4 months ago

0 Follower 2 Views

P
Payal Gupta

Contributor-Level 10

m = 0.3g density,  ρ (ball)=8g/cc V=mρ=0.38cc

ρglycerene=1.3g/cc=1.3*103kg/m3

Fv + FB = mg.

Fv = mg – FB = .3 * 103 * 10 – 1.3 * 0.38*106*10*103

=3*103.398*102=3*103.5*103

= 2.5 * 103N

= 25 * 104N

x = 25

New answer posted

4 months ago

0 Follower 3 Views

P
Payal Gupta

Contributor-Level 10

 l=0.5m

=104m2

Breaking stress,  FA=5*108N/m2

F=5*108*104N

F = 5 * 104N

T = mV2lV (max)2==Tlm

Vm2=2.5*103

Vmax = 50m/s

New answer posted

4 months ago

0 Follower 1 View

J
Jaya Sharma

Contributor-Level 10

The Interquartile range is also a measure of statistical dispersion that indicates the range within which middle 50% of dataset remains. It is the difference between the third and first quartile of the given dataset. Also known as IQR, it represents the length of the box which illustrates the spread of middle 50% data. All those data points that are either below Q1 - 1.5 x IQR or above Q3 + 1.5 x IQR are considered as outliers.

New answer posted

4 months ago

0 Follower 2 Views

J
Jaya Sharma

Contributor-Level 10

It is the measure of statistical dispersion which shows the difference between the maximum and minimum values of the dataset. This provides a simple method for understanding the data spread. The formula used here is: 
 
Range = Maximum Value-Minimum Value
 
A range is easy to understand, therefore, easy to calculate. This makes it useful as an initial measure of variability. It is highly sensistive to outliers which means if there are extreme values in dataset, range can be significantly impacted. This will give misleading impression of data spread.

New answer posted

4 months ago

0 Follower 1 View

J
Jaya Sharma

Contributor-Level 10

Q3 denotes the third Quartile which is the statistical measure to represent value below which 75% of the data falls in dataset when arranged in ascending order. It is the median of all the observations of the upper half of the data set i.e. 25% of the data. It is commonly used in conjunction with Q1 and median to provide the summary of distribution of dataset.Before calculating the result, it is important to arrange the data in increasing order.

New answer posted

4 months ago

0 Follower 2 Views

J
Jaya Sharma

Contributor-Level 10

Q1 denotes the first Quartile which is a statistical term to represent value below which 25% of data in dataset falls when arranged in ascending order. Q1 divides dataset into four equal parts which can easily analyze spread and data distribution. It is the median of all the observations of the lower half of the data set. However, it is important to arrange the data in increasing order for accurate results. 

New answer posted

4 months ago

0 Follower 5 Views

P
Payal Gupta

Contributor-Level 10

ω=xFrad/5

As, F = mω2L2

F=mL2 (x2F)x2=2mL=214*12=16

x=4

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