Next probability and probability binomial distributions standard normal distribution

of Sport-Equip Ltd, a company that sells sports equipment. Some of the users who visit the website end up buying sports equipment from the website while others are simply browsing in order to obtain product information. (a) Clearly explain and justify which probability distribution you would use to describe the number of Internet users who visit the website of Sport-Equip Ltd in a one hour period. [There is no need to calculate any probabilities for this part of the question] (5 marks) (b) What is the probability that during any half-hour period, there will be less than 3 visitors to the website? (5 marks) (c) What is the probability that during any two-hour period, there will be more than 15 visitors to the website? (5 marks) (d) If a user has just visited the website, find the probability that the website will have another visitor within the next 10 minutes. In your answer, state the probability distribution you have used and explain your choice. (4 marks) (e) It is estimated that 40% of Internet users who visit Sport-Equip Ltd’s website buy a product from the company. If 100 users visit the website over a given period of time, find the probability that more than 50 of them will buy a product from the company. In your answer, state the probability distribution you have used and explain your choice

or is noted. Find the probability that neither is white given that neither is red.Round your answer to 4 decimal places A place kicker in the NFLmakes 78% of his field goals. If the outcomes are independent, what is the probability that he makes exactly 6 of the next 8 field goals? Round your answer to 4 decimal places There are 5 white mice and 3 gray mice in a cage. Three mice are selected at random and their colors are noted. Find the expected number of white mice.Round your answer to 2 decimal places

ility of forgetting her lunch is 65%. According to her estimates, what is the probability the next time she goes to school that she will be late and she will not have forgotten her lunch?

cane hazel in 1954. Given this 1 in 100 year risk, what is the probability we will see a storm in the next 15 years

e forecast calls for a 70% chance of snow on Saturday and a 50% chance of snow on Sunday. What is the probability that it will snow both days? I think the answer is 35% but my teacher disagrees. (0.7 x 0.5 = 0.35) Can you help me?

e forecast calls for a 70% chance of snow on Saturday and a 50% chance of snow on Sunday. What is the probability that it will snow both days? I think the answer was 35% but my teacher disagrees. Can you help me?

A (refresher), linear regression, logistic regression, multivariate regression, chi square test (refresher), and more. CLT is a given, so are probability distributions; I eat MC simulations for breakfast. I only work in Excel; not so much interest in Crystal Ball and other add-ins; I have created my own VBA Excel functions such as Spearman(), triangularprobabilitydist() and PoissonInv(). So hit me with what you got, I am up to the challenge. looking for some fun and challenging time. Availability evenings and weekends; looking at 20+ hours of tutoring over next 6 weeks.

r player at the table is showing a 5 and 6. Compute the expected value of a one-dollar insurance bet under these circumstances Question 2: Suppose that( perhaps after being hit one or more times) you have cards addings up to 18. Using the table provided in these notes, compute the probability that you will lose, and the probability that you will tie. Question 3: The "Royal Hand" consists of King and Queens of the same suit. Compute the probability of being dealt a Royal Hand in the first two cards. Question 4: Compute the probability that you will initially be dealt two cards adding up to exactly 20. ( First think about how many ways two cards can up to 20 in blackjack.) Question 5: You have two 9s in your hand. The dealer is showing a 7, and the only other player at the table is sowing a King and a 9. If you ask to be hit, what is the probability that you will bust on the next card?

his year. I'm looking for a formula that will tell me the probability that a person will cough x number of times in a given week. I started with the Poisson Distribution, but Poisson doesn't seem to take into account standard deviation. To calculate the probability with Poisson, only the mean, expected value, and test value are needed, meaning the variance/standard deviation of the data could vary widely, and you'd still get the same probability distribution. For example, if someone coughed exactly 5 times everyday, you'd get the same probability distribution if this person alternated coughing 0 times one day, 10 times the next, 0 times the next day, 10 times the next, and so on. Does my question make sense? Thanks for your help.