Pete is participating in a walkathon to raise money for cancer research. The farther Pete walks, the more money he will raise. The table shows the relationship between the number of miles walked, d, and the money raised, m. Based on this information, which is the independent variable and the dependent variable? A) Both miles and money are dependent variables. B) Both miles and money are independent variables. The dependent variable is miles, and the independent variable is money. D) The independent variable is miles, and the dependent variable is money.

Q: b = 123,    c = 164,    ∠B = 40° ∠A1 = °      ∠A2 = ° ∠C1 = °      ∠C2 = ° a1 =        a2 =

A: To find out the remaining measures of the triangle.

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Q: What is another way to name Line AB? Select all that apply. T Ai O Line fB B.

A: Line f

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A: Using combinatorics =(m+n-2)!/(n-1)!(m-1)!

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Q: is a linear combination of vi = V2 = u= ulgn Ins

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A: here it is the y = k/x form and  now k = y*x put the value  k = 4*1 =4 k = 8*1/2 =4 k 12*1/3 =4 so…

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Q: re all the possible points?

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Q: 'll go, assuming that you go. [I, Y] A ( כ Y) B (I v Y) (c) (Y v I) D (Y = 1)

A: I will go, assuming that you go. [I,Y]

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A: The equation of line is given by, y=mx+c Here, m is slope, and c is intercept on y axis.

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A: Given Now taking ln both sides then

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A: From given figure it's clear that

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Q: whether

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A: A proposition is the case if its valid (i.e. its a tautology) p→q⇔p∨r→q∨r

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A: I have solved first three parts according to guidelines rules

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A: The given figure is:

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Addition Rule of Probability

It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.

Expected Value

When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).

Probability Distributions

Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.

Basic Probability

The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.