IS 310 EXAM 2 QUESTIONS ANSWERED CORRECTLY LATEST UPDATE 2026

IS 310 EXAM 2 QUESTIONS ANSWERED CORRECTLY LATEST UPDATE 2026 true/false questions - Answers A probability near 0 indicates that an event or outcome is likely to occur. - Answers False For a Discrete random variable X, the sum of probabilities across all possible outcomes must equal one. - Answers TRUE For a Continuous random variable X, the probability that X = x for axb is given By f(b)−f(a), where f(a) and f(b) are the probability density function evaluated at the endpoints x=a and x=b, respectively. - Answers TRUE Probabilities for a specific value are 0 For standard normal random variable Z, P(Z −1) = P(Z 1) - Answers True For a Continuous random variable X, P(X ≤ a) = P(X a) for any real number, a. - Answers TRUE; Because the standard normal random variable is continuous and continuous random variables exist in intervals instead of specific values, so there is no difference between "less than" and "less than or equal to" For a Discrete random variable X, with the set of outcomes equal to the set of non-Negative even integers = (0, 2, 4, 6, 8,10...),the probability that X assumes any Value Between and including 2 but strictly less than 10, P(2 ≤ X 10)is given by... P(2 ≤ X 10) = P(X=2) + P(X=4)+P(X=6)+ P(X=8)+P(X=10). - Answers False Probability is a numerical measure between 0 and 1 quantifying the likelihood that an event or particular outcome will occur. - Answers TRUE One assumption of the binomial probability distribution function, f(x), is that the probability for X Successes must be the same for all x. - Answers TRUE, the probability of success for any number of outcomes must be the same for binomial probability distribution One major difference between the counting rule for combinations and the counting rule for permutations is that with combinations, order of selection is important. - Answers FALSE The PDF for all Continuous random variables must be greater than or equal to zero and less than or equal to one. - Answers TRUE For any Discrete random variable X, the probability X assumes any value between a and b, (i.e., P(a X b))is equal to the area under probability density function, f(x),between a and b. - Answers FALSE Probabilities for A normally distributed random variable may be calculated by first transforming the observed data value to its z-score and using the standard normal cumulative probability distribution table (Aka "the Standard Normal table"). - Answers TRUE For any normal random variable X with mean =0 and STD=σ, P(X −σ) =P(Xσ). - Answers TRUE The standard deviations of all normal random variables must equal one. - Answers FALSE A random variable that Describes the number of customers that enter a store is an example of a Continuous random variable. - Answers TRUE .A random variable with Poisson distribution is an example of a continuous random Variable. - Answers TRUE Probabilities for any random variable, regardless of what values its mean and STD equal ,can be Found by converting to z-scores and using the standard normal cumulative probability table. - Answers FALSE Two required conditions for a discrete Uniform probability function, pdf, f(x) are 1) f(x) must be non-Negative and 2) sum of f(x) across all possible outcomes of the Random Variable equals 1. - Answers TRUE Let X be the grade a student earns in Business Statistics, where X =A, B, C, D or F. Then X is an example of a discrete random variable. - Answers TRUE Empirical discrete probability distribution functions assign probabilities to outcomes of a random variable that are equivalent to their relative frequencies. - Answers TRUE Multiple Choice Chapters 4 &5 - Answers A discrete probability distribution for which all possible outcome values are equally likely is known as the a.Empirical probability distribution. b.Discrete uniform probability distribution. c.Binomial probability distribution. d.Poisson probability distribution. - Answers b.Discrete uniform probability distribution. Which of the following is NOT a property of a discrete probability distribution function, f(x)? a.f(x)0 for all Possible outcomes b.If x 0 then f(x) =0 c.f(x) ≤ 1 d.∑f(x)=1 for all possible outcomes - Answers b.If x 0 then f(x) =0 .Out of a cauldron of 50 Snicker bars, 80 Reece's peanut butter cups, and 20 Almond Joys, what probability distribution would you use to calculate the probability of Selecting a Snicker bar.(Hint: You have all of the information that you need to compute the probability.) a.Empirical probability distribution. b.Discrete uniform probability distribution. c.Binomial probability distribution. d.Poisson probability distribution. - Answers a.Empirical probability distribution. 4. A CSULB study reported That last year 95% of gym members Who signed up for"P91-Extreme Workout" quit before the course was over. What probability distribution would you use to calculate the probability that exactly 5 of the 30 gym members enrolled in P91 will quit?(Hint:You have all of the information that you need to compute the probability.) a.Empirical probability distribution. b.Discrete uniform probability distribution. c.Binomial probability distribution. d.Poisson probability distribution. - Answers c.Binomial probability distribution. More than 50 million guests stay at bed and breakfasts (B&Bs) each year. The website for the Bed and Breakfast Inns of North America averages five visitors per minute and enables many B&Bs to attract guests. What probability distribution would you use to estimate the probability That the website has 17 or more visitors in the next three-minute period? (Hint:You have all of the information that you need to compute the probability.) a.Empirical probability distribution. b.Discrete uniform probability distribution. c.Binomial probability distribution. d.Poisson probability distribution. - Answers d.Poisson probability distribution. NCAA estimates that the Average yearly value of a full athletic scholarship at in-state public universities like CSULB is $19,000 (WSJ, March 12, 2012). Assume the Yearly Athletic scholarship value is normally distributed with a STD of $2,100. For a scholarship of $17,758, what must be true about its z-score? a. 1 z-score 24 b.z-score =0 c.-1 z-score0 d.0 z-score 1 - Answers d.0 z-score 1 From a group of six people, two individuals are to be selected at random. How many possible pairs elections are possible? a.15 b.8 c.12 d.36 - Answers a.15 Which one of these variables is a discrete random variable? a. X=number of pizza slices eaten by a student. b.X=time it takes a pizzeria to deliver a pizza. c.X=Weight of pizza eaten by a student (measured in ounces). d. X=weight of a student after eating a pizza (in pounds) - Answers a. X=number of pizza slices eaten by a student. Which one of these variables is a continuous random variable? a.X=amount of mercury found in fish caught in the Gulf of Mexico (in mg3/kg2) b.X= 0 if "male," X=1 if "female," X=2 if "other" or "decline to state" c.X=number of cars filled with 35 gallons of gasoline. d.X=grains of sand on the beaches of Southern California. - Answers d.X=grains of sand on the beaches of Southern California. Consider a binomial experiment with n=10 and p=.3. Compute the probability that X=0? a. 0 b. 0.7^ 10 c. 0.3 ^10 d. 0.7^0= 1 - Answers b. 0.7^ 10 Consider a normally distribution random Variable X,with mean=10 and STD = 5. Compute the probability that X=15. a. 0 b.0.68 c.−0.84 d. 0.84 - Answers d. 0.84 Let X be a random variable equal to the number of IS 310 students that ace the second midterm. Suppose previous data suggests that the probability that a student aces the second midterm is 0.1. If there are 40 students taking the exam, how many students do you predict will aces the test? a. 0 b. 4 c. 3.5 d. 36 - Answers b. 4 Multiple choice Chapter 6 - Answers ."Argumentativeness" refers to students' propensity or willingness to confront or argue with others (they actually enjoy arguing). Assume that the probability distribution is unimodal and symmetrical (like a bell). What probability distribution would you use to calculate the probability that the Standardized Argumentativeness z-score among A students is between 2.5 and 3? (Hint: You have all of the information you need to compute the probability). a. Uniform probability distribution b. Normal Probability distribution c.Discrete Normal probability distribution d. Continuous binomial probability distribution - Answers c.Discrete Normal probability distribution You are interested in bidding on a house and we know that there is another interested bidder. The seller announced that the highest bid in excess of $300K will be accepted. We know that the competitor's bid is between $300K and $350K. Assume that the probability of bid within any $5K interval is the same as the probability of a bid within any other $5K interval contained in the larger interval from $300K to $350K. What probability distribution would you recommend to determine the probability that your bid of less than $325K will be accepted? (Hint: You have all of the information you need to compute the probability). a. Uniform probability distribution b. Normal Probability distribution c.Discrete Uniform probability Distribution d. Empirical probability Distribution - Answers a. Uniform probability distribution "Talkaholism" is an accepted measure of individuals' level of talkativeness. Assume that the probability distribution is unimodal and symmetrical (like a bell). What probability distribution would you use to calculate the probability that the average talkativeness score among students sitting in the back Of Dr. Ritter's IS310 class has a standardized "z-score" of 3 or higher(i.e., talk waaaay too much)?(Hint: You have all of the information you need to compute the probability). a. Uniform Probability Distribution b. Normal Probability distribution c.Discrete Normal probability distribution d. Continuous binomial probability Distribution - Answers c.Discrete Normal probability distribution Apple introduced a smaller variant of the Apple iPad weighing less than 11 oz.