(a) the domain of f (b) the range of f (c) the x-intercepts (d) the y-intercept (e) intervals on which f is increasing (f) intervals on which f is decreasing (g) intervals on which f is constant (h) the number at which f has a relative minimum (i) the relative minimum of f U) f(2) (k) The values of x for which f(x) -3 (l) Is feven, odd or neither? Use the graph to find the following. rtHetio00 mew 9. 24 18- 12- 6 te or X -6 12 1071 (a) What is the domain of f? (Type your answer in interval notation.) (b) What is the range of f? uwpesatntermme ldtezge 00 10 ujs19 3r (Type your answer in interval notation.) odw (c) What are the zeros of the function? novs hation NEon The left zero of the function is 3 and the right zero is (d) What is the y-intercept? The y-intercept of the function is (e) Over what interval is f increasing? 055 (Type your answer in interval notation.) eve narNen not.on (f) Over what interval is f decreasing? ww (Type your answer in interval notation.) (g) Over what interval is f constant? rexie (Type your answer in interval notation.) (h) What is the number at which f has a relative minimum? eot to the y-x14024 036 sonston s aua (i) What is the relative minimum of f? () What is f(-2)? f(-2)= -3 is when x = 4. (k) What are the x-values where f(x)= -3? The leftmost x-value where f(x) -3? What is the rightmost x-value where f(x) (I) Is feven, odd, or neither? CO
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.
Will someone help me with this problem? Sub parts A,b,c
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