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- An electrical firm manufactures light bulbs that have a length of life that is normally distributed with mean equal to 799 hours and a standard deviation of 49 hours. Find the probability that a bulb burns between 769 and 878 hours.
- The weights of 1,000 children, in average, is 50kg with standard deviation of 14kg. Suppose the weights are normally distributed, how many children weigh between 53kg and 68kg?
- The weights of 1,000 children, in average, is 46kg with standard deviation of 20kg. Suppose the weights are normally distributed, how many children weigh less than 63kg?
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- A random sample of size 144 is drawn from a population whose distribution, mean, and standard deviation are all unknown. The summary statistics are x−−=58.2 and s = 2.6.
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- The scores for a mathematics course seem to be normally distributed with mean 70 & standard deviation of 8. If the instructor wishes to give an A grade to 10% of the students, what should be the dividing line between an A grade and a …
- suppose the weight of 800 students are normally distributed with mean 75kg and standard deviation 5kg. find the numer of students that weigh more than 80kg
- Suppose that the bank customers arrive randomly and independently on an average of 3.2 customers every 4 minutes. What is the probability that: a. Exactly two customers arrive in every 4 minutes? b. Exactly two customers will arriv…
- Oranges chosen at random have a mean mass of 210 grams and standard deviation of 35 grams. Assuming a normal distribution, what is the probability of choosing an orange with a mass between 170 grams and 250 grams
- To compare the results of boys and girls in a class, a special test was given to 50 boys who averaged 67.4 with Sd. of 5.0, and 50 girls averaged 62.8 with Sd. of 4.6. (Group Assignment) (2 pts.) a) Test, at …
- To compare the results of boys and girls in a class, a special test was given to 50 boys who averaged 67.4 with Sd. of 5.0, and 50 girls averaged 62.8 with Sd. of 4.6. (Group Assignment) (2 pts.) a) Test, at 0.05 …
- Let X be a binomial(5, 0.2) random variable. Let Y be a discrete random variable that is independent of X, such that Y = 1 with probability 0.2 and Y = 0 with probability 0.8. What is the probability that the sum of X and Y is less th…
- 1 4 4 2 3 4 5 1 4 1 Work out the mode
- Regression of yi = ꞵ0 + ꞵ1 xi1 + ꞵ2 xi2 + ꞵ3 xi3 + ꞵ4 xi4 + ui yields the following results in tabular form. The tabulated t- statistics is 2.6 , 1.96 and 1.64 for one , five and ten percent significance levels respectively. State the…
- a) Consider the following functional relation, f, defined as: f : R \rightarrow R, f(x) = x2 Determine whether or not f is a bijection. If it is, prove it. If it is not, show why it is not. b) Consider the set F = {y | y = a…
- A recent survey found that 54.7% of the population own their homes. In a random sample of 150 heads of households, 92 responded that they owned their homes. At 0.01 level of significance does that indicate a difference from the nation…
- A report stated that the average age of commercial jets in country X is 14 years. An executive of a large airline company selects a sample of 36 planes and finds that the average age of the plane is 11.8 years. The standard deviation …
- The odds of Matthew doing his math homework is 13:7. What is the probability of Matthew doing his homework once in the next two days?
- let x be a random variable with probability density function given by f(x)=(2he^-1/4x ; 0
- FIND THE VALUES FOR EACH OF THE FF. CASES: A. UPPER TAIL AREA OF 0.025 WITH DEGREE OF FREEDOM=28 B. LOWER TAIL AREA OF 0.01WITH DEGREE OF FREEDOM=15 C. WHERE 90% OF THE AREA FALLS BETWEEN THESE TWO t-VALUES WITH df=9
- 2. The owner of a factory that sells a particular bottled fruit juice claims that the average capacity of their product is 250 ml. To test the claim, a consumer group gets a sample of 100 such bottles, calculates the capacity of each …
- A box contains 18 light bulbs. Of these, four are defective. Five bulbs are chosen at random. What is the probability that four are defectives?
- what happens to the variance of the sampling distribution of the sample means when the sample size increases
- The following represent the scores of a group of students on two tests. calculate spearman rs and kendall's tau for these data. Test 1 - 36, 34, 33, 29, 29, 28, 28, 28, 24, 22, 19, 12 Test 2 - 18, 26, 24, 18, 15, 12, 14, 13, 12, 10,…
- The following represent the scores of a group of students on two tests. calculate spearman rs and kendall's tau for these data. Test 1 - 36, 34, 33, 29, 29, 28, 28, 28, 24, 22, 19, 12 and Test 2 - 18, 26, 24, 18, 15, 12, 14, 13, 12, 1…
- Three judges rated eight essays with the following results. Calculate the coefficient of concordance with these data. JUDGE ESSAY 1 2 3 1 8 7 8 2 6 5 6 3 4 6 5 4 1 2 1 5 3 3 2 6 2 1 3 7 5 4 4 8 7 8 7
- The following data represent the operating time in hours for 4 types of pocket calculators before a recharge is required. Use the Kruskal-Wallis test, at the 0.01 level of significance, test the hypothesis that the operating times for…
- Two coins are tossed. Let H be the number of tails that occur. Determine the values of the random variable H.
- box a and box b contains 1,2,3,4. write the probability mass function and draw the histogram of the sum when one number from each box is taken at a time, with replacement
- A population consists of the four members 6,9,15,18. Consider all possible samples of size two which can be drawn with replacement from the population. Find population mean, the standard deviation and the mean of the sampling di…
- You are given a population with standard deviation of 8.6. Determine the sample size needed to estimate the mean of the population with error of 0.5 at 99 percent confidence.
- A group of 5 patients treated with Medicine type A weight 42, 39, 48, 60 and 41 kg. A second group of 5 patients treated with Medicine type B weight 38, 42, 48, 67, 40 kg. Do the two medicines differ significantly with regard to…
- A group of 5 patients treated with Medicine type A weight 42, 39, 48, 60 and 41 kg. A second group of 5 patients treated with Medicine type B weight 38, 42, 48, 67, 40 kg. Do the two medicines differ significantly with regar…
- A random sample of size 16 has 53 as mean. The sum of the squares of the deviation taken from mean is 150. Can this sample be regarded as taken from the population having 56 as mean? Obtained 95% and 99% level of confidence limi…
- A random sample of size 16 has 53 as mean. The sum of the squares of the deviation taken from mean is 150. Can this sample be regarded as taken from the population having 56 as mean? Obtained 95% and 99% level of confidence limi…
- The following data shows heights in centimeters of 10 persons selected at random from a village. Find out whether, it would be reasonable or justifiable to suppose the height of that village population as 182 cm. The heights …
- The number of taxis waiting at a cab stand is thought to follow a uniform distribution. The number present was recorded at 50 random times:Use the appropriate goodness of fit test to determine if the uniform distribution is a good ch…
- Construct a probability distribution table if we let X the random variable be the number of boys in the family with 3 children.
- The variance of the number of cars sold per day is 2.27 what is the Standard deviation of the cars per day?
- From the past experience of software quality testing, it is known that the probability of the presence of an error in coding is 0.05. If the probability of a tester detecting an error when the error is present is 0.78 and the probabil…
- A basket contains 10 ripe and 4 unripe bananas. If three bananas are taken from the basket one after the other, determine the possible values of the random variable U representing the number of unripe bananas
- The mean monthly sale of a particular household item in department stores was observed as 133.3 units per store. After an advertising campaign, data on sales of this item from 25 stores were collected and it is found that the mean sal…
- The number of taxis waiting at a cab stand is thought to follow a uniform distribution. The number present was recorded at 50 random times: Number of taxis 0 1 2 3 4 5 6 7 8 Frequency 4 6 8 5 7 6 6 5 3 Use the appropriate goodness of …
- a factory is manufactures face masks that widely used during pandemic covid-19. it is found that on average, 10% of the face masks produced are defective. if 150 face masks are randomly selected, what is the probability that the numbe…
- True or False. (i) Age of a student is a discrete data. (ii) Mean is not affected by extreme values. (iii) A histogram can not be made for categorical data. (iv) ∑ 5 20 7 = 70. (v) The spread of a single value is always zero. (v…
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- if random variable is uniformly distributed (-2,1) find pdf of y = 2x ^3
- Consider a population consisting of 5 units with the following values of a variable Y: 29, 87, 94, 10, 13. A simple random sample of size 3 is picked from this population without replacement. i. Write down all the possible simple rand…
- 2) Oranges are grown, picked, and then stored in warehouses in Tampa, Miami, and Fresno. These warehouses supply oranges to markets in New York, Philadelphia, Chicago, and Boston. The following table shows the shipping costs per truck…
- Lawrence performs a survey to determine the average number of minutes of exercise seventh-grade athletes get in one week. He gets a list of sports and the seventh-grade students participating in each sport. He then chooses 10 people f…
- The lifetime of bulbs produced by Tariqs lightening company follows a normal distribution with a mean of 3462 hours and a standard deviation 1070 hours. What is the probability that randomly selected bulb will have a lifetime of at mo…
- Determine the area under the standard normal distribution curve between z=1.15 and z=-1.85
- Determine the area under the standard normal distribution curve between z=1.15 and z=-1.85
- 1) How do drivers react to sudden large increases in the price of gasoline? To help answer the question, a statistician recorded the speed of cars as they passed a large service station. He recorded the speeds (mph) in the same lo…
- The number of cars sold per day at a local car dealership, along with its corresponding probabilities, is shown in the table. Compute for the mean, variance, and standard deviation of the probability distribution of the random variabl…
- Two balls are drawn in succession without replacement from an urn containing 9 yellow balls and 6 green balls. Let X X be the random variable representing the number of yellow balls. Question: How many possible outcomes are there in…
- 2. A roulette wheel is divided into 25 sectors of equal area numbered from 1 to 25. Find a formula for the probability distribution of X, the number that occurs when the wheel is spun
- A laboratory supervision in Type III hospital is investigating a number of reported on-the-job training accidents related to needle stick injuries over a period of one month. Based on the past records, she has the following records on…
- The salary distribution ('000) of 1000 employees at a certain company is as follows: Salary (years) frequency 25-39 20 40-49 32 50-59 30 60-64 10 65-69 8 a, Construct the bar-chart of the data b, Construct the histogram of…
- In a class of 28 students, 16 play an instrument and 11 play a sport. There are 7 students who do not play an instrument or a sport. What is the probability that a student plays an instrument given that they play a sport?
- In a class of 28 students, 16 play an instrument and 11 play a sport. There are 7 students who do not play an instrument or a sport. What is the probability that a student plays an instrument given that they play a sport?
- 1. Consider the random quantity X, with PDF fx(x) = {4/3(2x-x^2), 0
- 1. Each sample of water has a 10% chance of containing a particular organic pollutant. Assume that the samples are independent with regard to the presence of the pollutant. Let X =the number of samples that contain the pollutant in…
- 1. The number of calls coming into a hotel’s reservation center averages three per minute. a. Find the probability that no calls will arrive in a given one-minute period. b. Find the probability that at least two calls will arrive…
- 1. The manufacturer of a certain kind of light bulb claims that the lifetime of the bulb in hours, X can be modeled as a random quantity with PDF. fx(x)= {0, x<100 c/x2, x>=100, where c is a constant. i. What…
- Nine out of every 100 people in the Philippines have Type B positive blood. If 8 people are chosen at random, what is the probability that less than 3 people have Type B blood?
- In a study of the effects of early Alzheimer’s disease on nondeclarative memory, the Category Fluency Test to establish baseline persistence and semantic memory and language abilities. The eight subjects in the sample had Category Flu…
- In the study of urinary tract infection, the sample and proportion in the group of fosfomycin / trometamol was 25, 0.92 and trimethoprim / sulfamethoxazole was 16, 0.61, respectively. a) Find the difference in proportions. (0.5) 4…
- Use the normal distribution of heights of adult women, which has a mean of 165 centimeters and a standard deviation of 4 centimeters and the following table with the standard scores and percentiles for a normal distribution to find t…
- The lifetime of bulbs produced by Tariqs lightening company follows a normal distribution with a mean of 3462 hours and a standard deviation 1070 hours. What is the probability that randomly selected bulb will have a lifetime of at mo…
- If the diameters of ball bearings are normally distributed with mean 0.6140 inches and standard deviation 0.0025 inches, determine the percentage of ball bearings with diameters, (a) between 0.610 and 0.618 inches inclusive (b) greate…
- A random of 200 school managers were administered a developed leadership skill test. The sample mean and standard deviation were 78 and 4.2 respectively. In the standardization of test, the mean was 73 and the standard deviation was 8…
- The probability function of a discrete random variable X is as follows: Values of X: x -4 -2 0 2 4 P(x) k 2k 3k 5k 6k i) Find the value of k. ii) Find the probability of the value of X exactly one. iii) Find the probability of …
- 1. The mean life time of a sample of 16 fluorescent light bulbs produced by a company is computed to be 1570 hours. The population standard deviation is 120 hours. Suppose the hypothesized value for the population mean is 1600 hou…
- A population consists of 500 values with mean 50 and variance 5 find mean and standard error of sampling distribution of means for sample size equal to 20 it sampling is done 1) Without replacement 2) With replacement
- Zaheeda scored 9 goals in 5 netball matches at this rate about how many goals will she score in 10 games?
- 1. Daily sales records for a car dealership show that it will sell 0, 1, 2, or 3 cars, with probabilities as listed: Number of Repairs(X) 0 1 2 3 p(x) 0.5 0.3 0.1 0.1 a. Find the probability distribution …
- If f(x,y)= { t(3x+y) 0 elsewhere 1
- A population has mean=37 and s.d=2.If the distribution is transformed into a new distribution with mean =100 and s.d=20,what new values will be obtained for each of the following scores:35,36,37,38,39,?
- A.) First sample has n=3 and M=8. Second sample has n=5 and M=6. What is the weighted mean? B.) First sample has n=10 and M=12. Second sample has n=4 and M=7. What is the weighted mean? Also do you mind showing me the formula how …
- 4. A soft-drink machine is regulated so that it discharges an average of 200 mls per cup. If the amount of drink is normally distributed with a standard deviation equal to 15 mls. Below what value do we get the smallest 30% of the cup…
- Suppose that the four inspectors at a film factory are supposed to stamp the expiration date on each package of film at the end of the assembly line. John, who stamps 20% of the packages, fails to stamp the expiration date once in ev…
- Suppose that the four inspectors at a film factory are supposed to stamp the expiration date on each package of film at the end of the assembly line. John, who stamps 20% of the packages, fails to stamp the expiration date once in ev…
- Suppose that the four inspectors at a film factory are supposed to stamp the expiration date on each package of film at the end of the assembly line. John, who stamps 20% of the packages, fails to stamp the expiration date once in ev…
- Researcher is using data for a sample of 10 observations to estimate the relation between consumption expenditure and income. Preliminary analysis of the sample data produces the following data. ∑xy = 700 , 1000 2 ∑x = , ∑X = 1…
- According to the article "A Critical Appraisal of 98.6 Degrees F, the Upper Limit of the Normal Body Temperature, and Other Legacies of Carl Reinhold August Wunderlich" published in the Journal of the American Medical Associ…
- According to the article "Are Babies Normal?" by Traci Clemons and Marcello Pagano published in The American Statistician, Vol. 53, No. 4, pp. 298-302, the birth weights of babies are normally distributed with a mean of 3388…
- According to the article "Are Babies Normal?" by Traci Clemons and Marcello Pagano published in The American Statistician, Vol. 53, No. 4, pp. 298-302, the birth weights of babies are normally distributed with a mean of 3388…
- According to the article "A Critical Appraisal of 98.6 Degrees F, the Upper Limit of the Normal Body Temperature, and Other Legacies of Carl Reinhold August Wunderlich" published in the Journal of the American Medical Associ…
- According to the article "A Critical Appraisal of 98.6 Degrees F, the Upper Limit of the Normal Body Temperature, and Other Legacies of Carl Reinhold August Wunderlich" published in the Journal of the American Medical Associ…
- Determine if the following are probability distributions (if no, state why) x= {3,6,9,12,15} p(x)= {4/9,2/9,1/9,1/9,1/9}
- 1. To the left of z= -1.66 2.to the left of z=1.47 3.to the right of z=2.52 4.to the right of z= -1.75 5.between z=1.5 and 2.76
- The mean annual cost of car insurance is Rs 9450 and standard deviation of Rs 250. What is the probability that the average insurance cost of a sample of 25 cars will be between Rs 9400 and Rs 9500?

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