Question 1. Toss a coin 10 times and record the proportion of heads so far.…
Q2. Which of the following values from Table 1 tells us about variability of the scores in a distribution?…
6. Can ANOVA be used to test proposed relationships or predicted correlations between variables in a single group? Provide rationale for your answer.…
1. Since the F value is significant, based on the p-value of 0.005 which is less than 0.05 which is sufficient to reject the null hypothesis. This suggests that there is a difference in the control and treatment groups.…
a. What is the probability that one or more customers will be turned away on a given day?…
Theoretical probability is based on the assumption that all outcomes in the sample space occur randomly.…
a.|choosing a letter from the alphabet that has line symmetry|c.|choosing a pair of parallel lines that have unequal slopes|…
Were the groups in this study independent or dependent? Provide a rationale for your answer.…
Exam 1. 1. All continuous random variables are normally distributed. False. 2. The actual weight of hamburger patties is an example of a continuous random variable. True 3. The college of business administration at acorn University offers a major in finance. Based on historical records, 30% of the college of business students major in Finance. A random sample of 20 students is selected. What is the probability that exactly 3 of the selected students are majoring in Finance? .0716 4. Assume that we have selected a random sample of 25 units from a normally distributed large population. If u = 15, and c2=4, what is the probability that we will obtain a sample mean of less than 14? .0062 5. The normal approximation of the binomial distribution is appropriate when. Np> 5 and n(1-p) >5 6. A newly married couple plans to have four children. Suppose that boys and girls are equal likely each time a child is born. What is the probability the couple will have no more than 2 boys? 62.5% 7. A random variable is said to be discrete if: Its outcome are countable 8. The mean life of pair of shoes is 40 months with a standard deviation of 8 months. If the life of the shoes is normally distributed, how many pairs of shoes out of one million will need replacement before 36 months? 308,500 9. If the sampled population has a mean of 48 and standard deviation 16, then the mean and the standard deviation for the sampling distribution x for n=16 48 and 4 10. The MPG (MILES PER GALLON) for a mid-size car is normally distributed with a mean of 32 and a standard deviation of .8. what is the probability that the MPG for a selected mid-size car would be less that 33.2? 93.32% 11. If the random variable X has a mean of u and a standard deviation g, then (X-u)/g) has a mean and standard deviation respectively. 0 and 1 12. For a binomial probability experiment, with n=150 and p=.2, it is appropriate to use the normal approximation to the binomial distribution. TRUE 13. A computer system uses 4…
On my first count of the tossed coins, the probability of heads showing was 10/20=1/2. The probability of tails showing was 10/20=1/2…
1. A gambler in Las Vegas is cutting a deck of cards for $1,000. What is the probability that the card for the gambler will be the following?…
According to the information you provided, the probability of being struck by lighting is equal for the whole United States population. In this case, it will be 1/3000 or 0.00033333% . However, sometimes people can distort this probability by making themselves more probably being struck by lighting. For instance,people using phones on the road when it is storming or they stay in the trees when it is lighting. All these activities may increase the "true" risk probability and make it not "true" at all. Thus, I consider that probabilistic risk can be used to measure or estimate the level of risk when people are involved in certain activity but it is not completely "true" or…
Probabilities are computed or assessed in a number of ways. It depends upon what we are in fact considering. If we think about the games we played. Using the 1st game, coin flip, we have two possible results, a head or a tail. Therefore the possibility that a head or a tail comes is 50% or ½. When we have more than a single coin, in that case the probability of each side for each coin needs to be taken into account. If you continue to flip the coin more and more the chances that we get a fifty-fifty split becomes more likely. The total probabilities always add up to a total of 1. Next, let's think about the 2nd game which is the dice roll. In this case there are equal possibilities of all of the 6 sides. Therefore each side has got a probability of 1/6. I was a bit more confused with this however the more that I rolled the dice and watched the numbers change the more I saw what it was saying.…
In this lab, we’d learn about the likelihood that a particular event will occur is called probability. Every event happens independently. The probability of a coin flip has two possible outcomes: the coin may lands heads up or tails up. The probabilities of either outcome are equal. Therefore, the probability of a single coin flip will come up heads is one chance in two. This is 1/2, or 50 percent. In the first part, I toss a single coin for 20, 30, and 50 times. For the 20 tosses part, the observation is 10 heads-up and 10 tails-up, which is corresponding to the principle of probability: the chances of each situation are equal. For the 30…
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