b) There are 10 socks in a drawer, 5 white and 5 black. Two socks are selected uniformly and at random. What is the probability both drawn socks are the same color?

Q: Find the value of the variable given the following. m || 1 , m21 = (2x+44)°, m25 = (5x + 38) %3D 3 4…

A:

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A:

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A: here we used the property of square that if a number has the power of power then power gets…

Q: -0.11 0.98 The area of the shaded region is

A: P(Z < -0.11) = 0.4562 P(Z > 0.98)=1-P(Z < 0.98)=1-0.8365 = 0.1635

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Q: Give an example That is acerursine definition for a decicearing geomble segrense.

A: The given question is solved below.

Q: Can you answer example D

A: (d) The table is: Height (Inches) Weight (Lbs) 63 140 67 160 68 140 68 149 69 165 70…

Q: Find the value of x.

A:

Q: write the value of the R2 and its interpretation.

A: From model summaryS=0.740727, R-sq=97.30%, R-sq(adj)=96.85%

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A: We need to add the numbers using left to right method.

Q: Is the statement true or false? (Va, b, c E Z, (ab | c) (a | c) ^ (b | c)) → (Va, b, c E Z, (a | bc)…

A: False

Q: 1. Convert the Venn diagram into a relative two-way frequency table. 2. Using the relative two-way…

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Q: Amount of error  Percent of error

A: Given ,  1 cubic inch = 16 cubic cm  True value :  1 cubic inch = 16.39 cubic cm We have to find…

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A: To find the value of x.

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Q: 9. y = 4 – x; domain = {-2, 3, 5} %3D

A:

Q: 6. 113° 119 [A] 46 [B] 44 [C] 48 [D] 50 550 (x+25)

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Q: Find the mode.   51​, 44​, 49​, 48​, 51​, 33​

A: Given  51, 44, 49, 48,51,33

Q: 1 2. 3. 2.

A: The solution is given below.

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A: Topic- circles

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A: I believe that the mistake lies in the rounding off the answers. We have to round the answers off to…

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A: Discrete mathematics is the branch of mathematics dealing with objects that can assume only distinct…

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A:

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A: To find the value of x

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Q: Evaluate the expression. dx3 x = -1

A: ddxx10=10x9     ∵dxndx=nxn-1⇒d2dx2x10=ddx10x9=10·9x8=90x8⇒d3dx3x10=ddx90x8=90·8x7=720x7

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A:

Q: 1. Suppose that 100 balls are placed into 30 boxes at random and independently. (a) What is the…

A: Expected probability: Expected probability is calculated as the probability of an event multiplied…

Continuous Probability Distributions

Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.

Normal Distribution

Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!