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Given a sample size of 65, with sample mean 726.2 and sample standard deviation 85.3, we perform the following hypothesis test.

Ho: μ = 750

H1: μ < 750

What is the conclusion of the test at the σ= 0.10 level? Explain your answer.

Ho: μ = 750

H1: μ < 750

What is the conclusion of the test at the σ= 0.10 level? Explain your answer.

Answered! |

(a) The table given below shows the nutritional and cost information for the meat (fish) and vegetable (spinach)

Per unit of fish Per unit of spinach Minimum requirement

Units of vitamins 5 1 13

Units of protein 10 3 16

Unit cost Rs. 50 Rs. 20

Find a diet (i.e. units of vitamins and proteins) to meet the minimum nutritional requirement at minimum cost.

Per unit of fish Per unit of spinach Minimum requirement

Units of vitamins 5 1 13

Units of protein 10 3 16

Unit cost Rs. 50 Rs. 20

Find a diet (i.e. units of vitamins and proteins) to meet the minimum nutritional requirement at minimum cost.

Answered! |

Mr. Fox is not the kind of person who rests. He and Batman get back to business. He is making some sort of system that gives info about the bad guys automatically.

He finds out that probability of Batman finding some criminal is 609/625 in 20 days.

But they don’t have that much time. Bane has set a deadline of 5 days to blow off the city.

What are the chances that Batman will catch Bane in 5 days and save Gotham city?

He finds out that probability of Batman finding some criminal is 609/625 in 20 days.

But they don’t have that much time. Bane has set a deadline of 5 days to blow off the city.

What are the chances that Batman will catch Bane in 5 days and save Gotham city?

Answered! |

of lost sales because of inability to supply customers.

e) A small plant with moderate demand would yield 4,500,000 annually in profits because of lost sales would be somewhat lower

f) A small plant with low demand yeld 5,500,000 annually because the plant size and market size would be matched fairly optimally.

What should ABC industries Ltd management do?

e) A small plant with moderate demand would yield 4,500,000 annually in profits because of lost sales would be somewhat lower

f) A small plant with low demand yeld 5,500,000 annually because the plant size and market size would be matched fairly optimally.

What should ABC industries Ltd management do?

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ABC industries LTD must decide whether to build a large or small plant to produce a new product which is expected a market life of 10 years. A large plant will cost 28,000,000 to build and put into operation while a small plant will cost only 14,000,000 to build and put into operation.

The company's best estimate of the distribution of sales over the 10 years periods is:

high demand with probability = 0.5

Moderate demand with probability = 0.3

Low demand with probability = 0.2

Cost - volume profit analysis done by ABC industries Ltd management indicates these conditional outcomes under the various combinations of plant size and market size.

a) A large plant with high demand would yield 10,000,000 annually in profits.

b) A large plant with moderate demand would yield 6,000,000 annaully in profits

c) A large plant with low demand would lose 2,000,000 annaully because of productions inefficiencies.

d) A small plant with high demand would yield only 2,500,000 annually in profits considering the cost of

The company's best estimate of the distribution of sales over the 10 years periods is:

high demand with probability = 0.5

Moderate demand with probability = 0.3

Low demand with probability = 0.2

Cost - volume profit analysis done by ABC industries Ltd management indicates these conditional outcomes under the various combinations of plant size and market size.

a) A large plant with high demand would yield 10,000,000 annually in profits.

b) A large plant with moderate demand would yield 6,000,000 annaully in profits

c) A large plant with low demand would lose 2,000,000 annaully because of productions inefficiencies.

d) A small plant with high demand would yield only 2,500,000 annually in profits considering the cost of

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Determine the test statistic (z* or t*) and the p-value for each of the following situations and Determine if they would cause the rejection of the null hypothesis if the confidence level was set at 95% in each case. (Hint: be wary of the sample size):

a) Ho: mu = 50 mL, Ha: mu "not equal to" 50 mL, sample mean = 47.3 mL, sample standard deviation= 5, n=20

b) Ho: mu "less than or equal to" 8.9 m^3, Ha: mu > 8.9 m^3, sample mean = 10 m^3, s = 3.5, n = 75

c) Ho: mu "greater than or equal to" 20^o C, Ha: mu < 20^o C , sample mean= 17.1^o C, s= 4.8^o C, n= 12

d) Ho: mu = 380 s, Ha: mu "not equal to" 380 s, sample mean = 400 s, s = 75, n = 40

e) Ho: mu = 48 units, Ha: mu "not equal to" 48 units, sample mean = 50 units, s = 9.5, n = 41

a) Ho: mu = 50 mL, Ha: mu "not equal to" 50 mL, sample mean = 47.3 mL, sample standard deviation= 5, n=20

b) Ho: mu "less than or equal to" 8.9 m^3, Ha: mu > 8.9 m^3, sample mean = 10 m^3, s = 3.5, n = 75

c) Ho: mu "greater than or equal to" 20^o C, Ha: mu < 20^o C , sample mean= 17.1^o C, s= 4.8^o C, n= 12

d) Ho: mu = 380 s, Ha: mu "not equal to" 380 s, sample mean = 400 s, s = 75, n = 40

e) Ho: mu = 48 units, Ha: mu "not equal to" 48 units, sample mean = 50 units, s = 9.5, n = 41

Answered! |

A biologist is studying the levels of arsenic that are naturally produced in some ground water sources. A mean level of 8.0 parts per billion (ppb) and less is considered safe for agricultural use. A random sample of 40 tests of the ground water at different locations in the town of Howick yields a sample mean of 8.4 ppb with a standard deviation of 1.7 ppb. Is there enough evidence to conclude that the arsenic levels are too dangerous to use for agricultural purposes at the 98% confidence level? Conduct a complete hypothesis test which includes

a) The null and alternative hypotheses, Ho and Ha

b) The critical value (confidence coefficient)

c) The test statistic (including sample mean and standard deviation)

d) The p-value

e) A decision (do or do not accept the null hypothesis)

f) A conclusion (that refers back to the question that was posed)

a) The null and alternative hypotheses, Ho and Ha

b) The critical value (confidence coefficient)

c) The test statistic (including sample mean and standard deviation)

d) The p-value

e) A decision (do or do not accept the null hypothesis)

f) A conclusion (that refers back to the question that was posed)

Answered! |

The Canadian Association of Pumpkin Growers is conducting a study to determine the pricing of their crops for the current season. Based on studies conducted in various regions across the country, the average cost of pumpkins for consumers is $3.18 per kg.

From a random sample of 15 farmer’s markets in the Montreal?area you determine that the average price for pumpkins is $4.52 per kg with a standard deviation of $2.20 per kg.

d) Construct a 98% confidence interval for the average price of pumpkins in the Montreal-area if the statistics remained unchanged despite the fact that 20 more pumpkins were added to the original sample and determine if it differs significantly from that of the rest of the country.

e) Construct a 95% confidence interval for the average price of pumpkins in the Montreal-area if a new sample of 15 pumpkins yields a sample mean of $4.52 per kg. and a standard deviation of $2.50 per kg. Determine if it differs significantly from that of the rest of the country.

From a random sample of 15 farmer’s markets in the Montreal?area you determine that the average price for pumpkins is $4.52 per kg with a standard deviation of $2.20 per kg.

d) Construct a 98% confidence interval for the average price of pumpkins in the Montreal-area if the statistics remained unchanged despite the fact that 20 more pumpkins were added to the original sample and determine if it differs significantly from that of the rest of the country.

e) Construct a 95% confidence interval for the average price of pumpkins in the Montreal-area if a new sample of 15 pumpkins yields a sample mean of $4.52 per kg. and a standard deviation of $2.50 per kg. Determine if it differs significantly from that of the rest of the country.

Answered! |

The organizer of the Montreal International Art Exhibit is trying to determine its optimal operating hours for its next one-day exhibition. Studies have shown that the arrival times at any given exhibition form a normal distribution with the average time that visitors arrive being 3 hours and 36 minutes after doors open, with a standard deviation of 48 minutes.

a) If the organizer sets the opening of the exhibition at 10:00 a.m., at what time would they expect 90% of the visitors to have arrived?

b) If the organizer sets the opening of the exhibition at 9:00 a.m., at what time after the doors open will only 15% of the visitors have arrived?

c) At what time should the organizer open the exhibition if they would like 60% of the visitors to have arrived by noon (12:00pm) so that they can award the first door prize?

a) If the organizer sets the opening of the exhibition at 10:00 a.m., at what time would they expect 90% of the visitors to have arrived?

b) If the organizer sets the opening of the exhibition at 9:00 a.m., at what time after the doors open will only 15% of the visitors have arrived?

c) At what time should the organizer open the exhibition if they would like 60% of the visitors to have arrived by noon (12:00pm) so that they can award the first door prize?

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Crispy Chips is a potato chip company that is quite popular for its low?fat, low?calorie bags of potato chips. The procedure used at its production plant allows for 65 chips to be inserted into each bag for distribution to consumers. However, given that chip?making is not an exact science, there is a standard deviation of 5 chips per individual bag. If we can assume that the amount of chips in each bag forms a normal distribution, calculate the following:

a) Calculate the z-score if there are 60 chips in a bag.

b) What is the probability that less than 60 potato chips will be in a bag?

c) Determine the probability that more than 80 potato chips will be in a bag.

d) Find the probability that there will be between 55 and 80 potato chips in a bag.

a) Calculate the z-score if there are 60 chips in a bag.

b) What is the probability that less than 60 potato chips will be in a bag?

c) Determine the probability that more than 80 potato chips will be in a bag.

d) Find the probability that there will be between 55 and 80 potato chips in a bag.

In Progress... |

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