Find the standard deviations of the mean weight of the salmon in each type of shipment.

Question

Want to see more full solutions like this?

Answer 1

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 17, Problem 1E

(a)

To determine

Find the standard deviations of the mean weight of the salmon in each type of shipment.

(a)

Expert Solution

Answer to Problem 1E

The standard deviations are 1 pound, 0.5 pound and 0.2 pounds for 4 salmons, 16 salmons and 100 salmons respectively.

Explanation of Solution

Given info:

A food company sells King Salmon to customers. The mean weight of these salmon is 35 pounds and standard deviation is 2 pounds. They delivered three different restaurants in boxes with 4 salmon, in cartons 16 salmon and in pallets 100 salmon respectively.

Calculation:

Standard deviation:

For shipment of 4 salmon the standard deviation is,

SD=σn=24=1

For shipment of 16 salmon the standard deviation is,

SD=σn=216=0.5

For shipment of 100 salmon the standard deviation is,

SD=σn=2100=0.2

Thus, the standard deviations are 1 pound, 0.5 pound and 0.2 pounds for 4 salmons, 16 salmons and 100 salmons respectively.

(b)

To determine

Explain whether the distribution of shipping weights would be better characterized by a normal model for the boxes or pallets.

(b)

Expert Solution

Explanation of Solution

Given info:

The distribution of the salmon weights turns out to be skewed to the high end.

Justification:

By the central limit theorem, it can be said that for large sample size the distribution of the population mean follows normal distribution.

If pallets contain large number of salmon than the boxes, then the distribution of shipping weights is better characterized by a Normal model for the pallets. Otherwise, it would not be good to characterize by a Normal model.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Students have asked these similar questions

The following are suggested designs for group sequential studies. Using PROCSEQDESIGN, provide the following for the design O’Brien Fleming and Pocock.• The critical boundary values for each analysis of the data• The expected sample sizes at each interim analysisAssume the standardized Z score method for calculating boundaries.Investigators are evaluating the success rate of a novel drug for treating a certain type ofbacterial wound infection. Since no existing treatment exists, they have planned a one-armstudy. They wish to test whether the success rate of the drug is better than 50%, whichthey have defined as the null success rate. Preliminary testing has estimated the successrate of the drug at 55%. The investigators are eager to get the drug into production andwould like to plan for 9 interim analyses (10 analyzes in total) of the data. Assume thesignificance level is 5% and power is 90%.Besides, draw a combined boundary plot (OBF, POC, and HP)

Please provide the solution for the attached image in detailed.

20 km, because GISS Worksheet 10 Jesse runs a small business selling and delivering mealie meal to the spaza shops. He charges a fixed rate of R80, 00 for delivery and then R15, 50 for each packet of mealle meal he delivers. The table below helps him to calculate what to charge his customers. 10 20 30 40 50 Packets of mealie meal (m) Total costs in Rands 80 235 390 545 700 855 (c) 10.1. Define the following terms: 10.1.1. Independent Variables 10.1.2. Dependent Variables 10.2. 10.3. 10.4. 10.5. Determine the independent and dependent variables. Are the variables in this scenario discrete or continuous values? Explain What shape do you expect the graph to be? Why? Draw a graph on the graph provided to represent the information in the table above. TOTAL COST OF PACKETS OF MEALIE MEAL 900 800 700 600 COST (R) 500 400 300 200 100 0 10 20 30 40 60 NUMBER OF PACKETS OF MEALIE MEAL

Answer 2

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 17, Problem 1E

(a)

To determine

Find the standard deviations of the mean weight of the salmon in each type of shipment.

(a)

Expert Solution

Answer to Problem 1E

The standard deviations are 1 pound, 0.5 pound and 0.2 pounds for 4 salmons, 16 salmons and 100 salmons respectively.

Explanation of Solution

Given info:

A food company sells King Salmon to customers. The mean weight of these salmon is 35 pounds and standard deviation is 2 pounds. They delivered three different restaurants in boxes with 4 salmon, in cartons 16 salmon and in pallets 100 salmon respectively.

Calculation:

Standard deviation:

For shipment of 4 salmon the standard deviation is,

SD=σn=24=1

For shipment of 16 salmon the standard deviation is,

SD=σn=216=0.5

For shipment of 100 salmon the standard deviation is,

SD=σn=2100=0.2

Thus, the standard deviations are 1 pound, 0.5 pound and 0.2 pounds for 4 salmons, 16 salmons and 100 salmons respectively.

(b)

To determine

Explain whether the distribution of shipping weights would be better characterized by a normal model for the boxes or pallets.

(b)

Expert Solution

Explanation of Solution

Given info:

The distribution of the salmon weights turns out to be skewed to the high end.

Justification:

By the central limit theorem, it can be said that for large sample size the distribution of the population mean follows normal distribution.

If pallets contain large number of salmon than the boxes, then the distribution of shipping weights is better characterized by a Normal model for the pallets. Otherwise, it would not be good to characterize by a Normal model.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 3

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 17, Problem 1E

(a)

To determine

Find the standard deviations of the mean weight of the salmon in each type of shipment.

(a)

Expert Solution

Answer to Problem 1E

The standard deviations are 1 pound, 0.5 pound and 0.2 pounds for 4 salmons, 16 salmons and 100 salmons respectively.

Explanation of Solution

Given info:

A food company sells King Salmon to customers. The mean weight of these salmon is 35 pounds and standard deviation is 2 pounds. They delivered three different restaurants in boxes with 4 salmon, in cartons 16 salmon and in pallets 100 salmon respectively.

Calculation:

Standard deviation:

For shipment of 4 salmon the standard deviation is,

SD=σn=24=1

For shipment of 16 salmon the standard deviation is,

SD=σn=216=0.5

For shipment of 100 salmon the standard deviation is,

SD=σn=2100=0.2

Thus, the standard deviations are 1 pound, 0.5 pound and 0.2 pounds for 4 salmons, 16 salmons and 100 salmons respectively.

(b)

To determine

Explain whether the distribution of shipping weights would be better characterized by a normal model for the boxes or pallets.

(b)

Expert Solution

Explanation of Solution

Given info:

The distribution of the salmon weights turns out to be skewed to the high end.

Justification:

By the central limit theorem, it can be said that for large sample size the distribution of the population mean follows normal distribution.

If pallets contain large number of salmon than the boxes, then the distribution of shipping weights is better characterized by a Normal model for the pallets. Otherwise, it would not be good to characterize by a Normal model.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 4

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 17, Problem 1E

(a)

To determine

Find the standard deviations of the mean weight of the salmon in each type of shipment.

(a)

Expert Solution

Answer to Problem 1E

The standard deviations are 1 pound, 0.5 pound and 0.2 pounds for 4 salmons, 16 salmons and 100 salmons respectively.

Explanation of Solution

Given info:

A food company sells King Salmon to customers. The mean weight of these salmon is 35 pounds and standard deviation is 2 pounds. They delivered three different restaurants in boxes with 4 salmon, in cartons 16 salmon and in pallets 100 salmon respectively.

Calculation:

Standard deviation:

For shipment of 4 salmon the standard deviation is,

SD=σn=24=1

For shipment of 16 salmon the standard deviation is,

SD=σn=216=0.5

For shipment of 100 salmon the standard deviation is,

SD=σn=2100=0.2

Thus, the standard deviations are 1 pound, 0.5 pound and 0.2 pounds for 4 salmons, 16 salmons and 100 salmons respectively.

(b)

To determine

Explain whether the distribution of shipping weights would be better characterized by a normal model for the boxes or pallets.

(b)

Expert Solution

Explanation of Solution

Given info:

The distribution of the salmon weights turns out to be skewed to the high end.

Justification:

By the central limit theorem, it can be said that for large sample size the distribution of the population mean follows normal distribution.

If pallets contain large number of salmon than the boxes, then the distribution of shipping weights is better characterized by a Normal model for the pallets. Otherwise, it would not be good to characterize by a Normal model.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 5

Chapter 17, Problem 1E

(a)

To determine

Find the standard deviations of the mean weight of the salmon in each type of shipment.

(a)

Expert Solution

Answer to Problem 1E

The standard deviations are 1 pound, 0.5 pound and 0.2 pounds for 4 salmons, 16 salmons and 100 salmons respectively.

Explanation of Solution

Given info:

A food company sells King Salmon to customers. The mean weight of these salmon is 35 pounds and standard deviation is 2 pounds. They delivered three different restaurants in boxes with 4 salmon, in cartons 16 salmon and in pallets 100 salmon respectively.

Calculation:

Standard deviation:

For shipment of 4 salmon the standard deviation is,

SD=σn=24=1

For shipment of 16 salmon the standard deviation is,

SD=σn=216=0.5

For shipment of 100 salmon the standard deviation is,

SD=σn=2100=0.2

Thus, the standard deviations are 1 pound, 0.5 pound and 0.2 pounds for 4 salmons, 16 salmons and 100 salmons respectively.

(b)

To determine

Explain whether the distribution of shipping weights would be better characterized by a normal model for the boxes or pallets.

(b)

Expert Solution

Explanation of Solution

Given info:

The distribution of the salmon weights turns out to be skewed to the high end.

Justification:

By the central limit theorem, it can be said that for large sample size the distribution of the population mean follows normal distribution.

If pallets contain large number of salmon than the boxes, then the distribution of shipping weights is better characterized by a Normal model for the pallets. Otherwise, it would not be good to characterize by a Normal model.

Answer 6

Chapter 17, Problem 1E

(a)

To determine

Find the standard deviations of the mean weight of the salmon in each type of shipment.

(a)

Expert Solution

Answer to Problem 1E

The standard deviations are 1 pound, 0.5 pound and 0.2 pounds for 4 salmons, 16 salmons and 100 salmons respectively.

Explanation of Solution

Given info:

A food company sells King Salmon to customers. The mean weight of these salmon is 35 pounds and standard deviation is 2 pounds. They delivered three different restaurants in boxes with 4 salmon, in cartons 16 salmon and in pallets 100 salmon respectively.

Calculation:

Standard deviation:

For shipment of 4 salmon the standard deviation is,

SD=σn=24=1

For shipment of 16 salmon the standard deviation is,

SD=σn=216=0.5

For shipment of 100 salmon the standard deviation is,

SD=σn=2100=0.2

Thus, the standard deviations are 1 pound, 0.5 pound and 0.2 pounds for 4 salmons, 16 salmons and 100 salmons respectively.

Answer 7

Chapter 17, Problem 1E

(a)

To determine

Find the standard deviations of the mean weight of the salmon in each type of shipment.

Answer 8

(a)

Expert Solution

Answer to Problem 1E

The standard deviations are 1 pound, 0.5 pound and 0.2 pounds for 4 salmons, 16 salmons and 100 salmons respectively.

Answer 9

(a)

Expert Solution

Answer 10

(a)

Expert Solution

Answer 11

Expert Solution

Answer 12

Explanation of Solution

Given info:

A food company sells King Salmon to customers. The mean weight of these salmon is 35 pounds and standard deviation is 2 pounds. They delivered three different restaurants in boxes with 4 salmon, in cartons 16 salmon and in pallets 100 salmon respectively.

Calculation:

Standard deviation:

For shipment of 4 salmon the standard deviation is,

SD=σn=24=1

For shipment of 16 salmon the standard deviation is,

SD=σn=216=0.5

For shipment of 100 salmon the standard deviation is,

SD=σn=2100=0.2

Thus, the standard deviations are 1 pound, 0.5 pound and 0.2 pounds for 4 salmons, 16 salmons and 100 salmons respectively.

Answer 13

(b)

To determine

Explain whether the distribution of shipping weights would be better characterized by a normal model for the boxes or pallets.

(b)

Expert Solution

Explanation of Solution

Given info:

The distribution of the salmon weights turns out to be skewed to the high end.

Justification:

By the central limit theorem, it can be said that for large sample size the distribution of the population mean follows normal distribution.

If pallets contain large number of salmon than the boxes, then the distribution of shipping weights is better characterized by a Normal model for the pallets. Otherwise, it would not be good to characterize by a Normal model.

Answer 14

(b)

To determine

Explain whether the distribution of shipping weights would be better characterized by a normal model for the boxes or pallets.

Answer 15

(b)

Expert Solution

Explanation of Solution

Given info:

The distribution of the salmon weights turns out to be skewed to the high end.

Justification:

By the central limit theorem, it can be said that for large sample size the distribution of the population mean follows normal distribution.

If pallets contain large number of salmon than the boxes, then the distribution of shipping weights is better characterized by a Normal model for the pallets. Otherwise, it would not be good to characterize by a Normal model.