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Daniel Kim

Daniel K.

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Cereal The amount of cereal that can be poured into a small bowl varies with a mean of 1.5 ounces and a standard deviation of 0.3 ounces. A large bowl holds a mean of 2.5 ounces with a standard deviation of 0.4 ounces. You open a new box of cereal and pour one large and one small bowl.
a) How much more cereal do you expect to be in the large bowl?
b) What’s the standard deviation of this difference?
c) If the difference follows a Normal model, what’s the probability the small bowl contains more cereal than the large one?
d) What are the mean and standard deviation of the total amount of cereal in the two bowls?
e) If the total follows a Normal model, what’s the probability you poured out more than 4.5 ounces of cereal in the two bowls together?
f) The amount of cereal the manufacturer puts in the boxes is a random variable with a mean of 16.3 ounces and a standard deviation of 0.2 ounces. Find the expected amount of cereal left in the box and the standard deviation.

Cereal The amount of cereal that can be poured into a small bowl varies with a mean of 1.5 ounces and a standard deviation of 0.3 ounces. A large bowl holds a mean of 2.5 ounces with a standard deviation of 0.4 ounces. You open a new box of cereal and pour one large and one small bowl. a) How much more cereal do you expect to be in the large bowl? b) What’s the standard deviation of this difference? c) If the difference follows a Normal model, what’s the probability the small bowl contains more cereal than the large one? d) What are the mean and standard deviation of the total amount of cereal in the two bowls? e) If the total follows a Normal model, what’s the probability you poured out more than 4.5 ounces of cereal in the two bowls together? f) The amount of cereal the manufacturer puts in the boxes is a random variable with a mean of 16.3 ounces and a standard deviation of 0.2 ounces. Find the expected amount of cereal left in the box and the standard deviation.

STATS Modeling The World

Randomness and Probability

Random Variables

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Ivan Kochetkov verified

Numerade educator

Question 33 (1 point) The coefficient of absorption (COA) for a clay brick is the ratio of the amount of cold water to the amount of boiling water that the brick will absorb. The article "Effects of Waste Glass Additions on the Properties and Durability of Fired Clay Brick" (S. Chidiac and L. Federico, Can J Civ Eng, 2007:1458-1466) presents measurements of the (COA) and the pore volume (in cm3/g) for seven bricks. The data are: | Pore Volume | COA | | :--- | :--- | | 1.750 | 0.80 | | 1.632 | 0.78 | | 1.594 | 0.77 | | 1.623 | 0.75 | | 1.495 | 0.71 | | 1.465 | 0.66 | | 1.272 | 0.63 | Find the correlation coefficient, r. Round your answer to 2 decimal places. Your Answer: Question 34 (1 point) The coefficient of absorption (COA) for a clay brick is the ratio of the amount of cold water to the amount of boiling water that the brick will absorb. The article "Effects of Waste Glass Additions on the Properties and Durability of Fired Clay Brick" (S. Chidiac and L. Federico, Can J Civ Eng, 2007:1458-1466) presents measurements of the (COA) and the pore volume (in cm3/g) for seven bricks. The data are: | Pore Volume | COA | | :--- | :--- | | 1.750 | 0.80 | | 1.632 | 0.78 | | 1.594 | 0.77 | | 1.623 | 0.75 | | 1.495 | 0.71 | | 1.465 | 0.66 | | 1.272 | 0.63 | Find the intercept. Round your answer to 3 decimal places. Your Answer:

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Sheryl Ezze verified

Numerade educator

Question 30 (1 point) An experiment is performed to investigate the best way to produce a chemical solution. Three different preparation methods are considered, and various trials are conducted with each method. The resulting solutions are classified as being either too weak, satisfactory, or too strong. The following data is observed. Test at alpha = .05 level of significance. What is the Chi-squared test statistic? Round your answer to 3 decimal places. | Method | Weak | Satisfactory | Strong | | :--- | :--- | :--- | :--- | | A | 11 | 42 | 18 | | B | 20 | 89 | 17 | | C | 19 | 30 | 22 | Your Answer: Question 31 (1 point) An experiment is performed to investigate the best way to produce a chemical solution. Three different preparation methods are considered, and various trials are conducted with each method. The resulting solutions are classified as being either too weak, satisfactory, or too strong. The following data is observed. Test at alpha = .05 level of significance. What are the degrees of freedom? | Method | Weak | Satisfactory | Strong | | :--- | :--- | :--- | :--- | | A | 11 | 42 | 18 | | B | 20 | 89 | 17 | | C | 19 | 30 | 22 | Your Answer: Question 32 (1 point) An experiment is performed to investigate the best way to produce a chemical solution. Three different preparation methods are considered, and various trials are conducted with each method. The resulting solutions are classified as being either too weak, satisfactory, or too strong. The following data is observed. Test at alpha = .05 level of significance. What is the p-value? Round your answer to 3 decimal places. | Method | Weak | Satisfactory | Strong | | :--- | :--- | :--- | :--- | | A | 11 | 42 | 18 | | B | 20 | 89 | 17 | | C | 19 | 30 | 22 | Your Answer:

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Jon Southam verified

Numerade educator

Question 27 (1 point) An experiment is performed to investigate the best way to produce a chemical solution. Three different preparation methods are considered, and various trials are conducted with each method. The resulting solutions are classified as being either too weak, satisfactory, or too strong. The following data is observed. Test at ( a=.05 ) level of significance. What is the sample size? egin{tabular}{|l|c|c|c|} hline Method & Weak & Satisfactory & Strong \ hline A & 11 & 42 & 18 \ hline B & 20 & 89 & 17 \ hline C & 19 & 30 & 22 \ hline end{tabular} Your Answer: ( square ) Answer Question 28 (1 point) An experiment is performed to investigate the best way to produce a chemical solution. Three different preparation methods are considered, and various trials are conducted with each method. The resulting solutions are classified as being either too weak, satisfactory, or too strong. The following data is observed. Test at ( alpha=.05 ) level of significance. What is the expected count for the observed count of 11 ? Round your answer to 3 decimal places. egin{tabular}{|l|c|c|c|} hline Method & Weak & Satisfactory & Strong \ hline A & 11 & 42 & 18 \ hline B & 20 & 89 & 17 \ hline C & 19 & 30 & 22 \ hline end{tabular} Your Answer: ( square ) Answer Question 29 (1 point) An experiment is performed to investigate the best way to produce a chemical solution. Three different preparation methods are considered, and various trials are conducted with each method. The resulting solutions are classified as being either too weak, satisfactory, or too strong. The following data is observed. Test at ( alpha=.05 ) level of significance. What is the Chi-squared contribution for the observed count of 22 ? Round your answer to 3 decimal places. egin{tabular}{|l|c|c|c|} hline Method & Weak & Satisfactory & Strong \ hline A & 11 & 42 & 18 \ hline B & 20 & 89 & 17 \ hline C & 19 & 30 & 22 \ hline end{tabular}

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The graph of \( f \) is shown. Evaluate each integral by interpreting it in terms of areas. (a) \( \int_{0}^{8} f(x) d x \) \( \square \) (b) \( \int_{0}^{20} f(x) d x \) \( \square \) (c) \( \int_{20}^{28} f(x) d x \) \( \square \) (d) \( \int_{0}^{36} f(x) d x \) \( \square \)

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Ivan Kochetkov verified

Numerade educator

The following software output presents the model Viscosity (y) of Motor Oil (SAE 30) By Temperature (x). The sample size is n=8. Here is the JMP output for the regression: Parameter Estimates Term | Estimate | Std Error | t Ratio | Prob > |t| Intercept | 87.454762 | 2.56258 | ? | <.0001* Temperature | ? | 0.014014 | -25.77 | ?

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Ma. Theresa Alin verified

Numerade educator

absolute maximum value ( square ) absolute minimum value ( square ) local maximum value(s) ( square ) local minimum value(s) ( square )

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Question 8 (1 point) Exercise 36.15. Losing weight. A new low-carb diet author claims that people following his plan will lose an average of 3 pounds with a standard deviation of 1.4 pounds each week. An author of a low-fat diet claims that people following her plan will lose an average of 2 pounds with a standard deviation of 1.8 pounds each week. What is the probability that a low-carb dieter will lose at least a pound more than a low-fat dieter in a week? Let \( \mathrm{X} \) be the Normal \( \mathrm{RV} \) for pounds lost on the low-carb diet. Let \( \mathrm{Y} \) be the Normal RV for pounds lost on the low-fat diet. The new Normal \( \mathrm{RV} \) is \( (\mathrm{X}-\mathrm{Y} \) ) represents the difference in pounds lost (lowcarb minus low-fat). What is the probability that a low-carb dieter will lose at least a pound more than a low-fat dieter in a week? Round your answer to one decimal place. Your Answer: Answer

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Ivan Kochetkov verified

Numerade educator

Question 4 (1 point) Exercise 36.12. Distances between cars. On a busy interstate highway, there are 21 cars in a particular lane. Let ( mathrm{X}_{1}, ldots, mathrm{X}_{20} ) denote the 20 distances between these 21 cars. At a particular moment, the ( mathrm{X}_{mathrm{j}} ) 's are judged to be approximately Normal, with an average of 500 feet between consecutive cars and standard deviation of 75 feet. Find the probability that the row of 21 cars is less than two miles long (each mile contains 5280 feet) if the length of each car is assumed to be negligible, i.e., we do not take into account the lengths of the 21 cars themselves. Please round your answer to 3 decimal places. Your Answer: Question 5 (1 point) Exercise 36.12. Distances between cars. On a busy interstate highway, there are 21 cars in a particular lane. Let ( mathrm{X}_{1}, ldots, mathrm{X}_{20} ) denote the 20 distances between these 21 cars. At a particular moment, the ( mathrm{X}_{mathrm{j}} ) 's are judged to be approximately Normal, with an average of 500 feet between consecutive cars and standard deviation of 75 feet. Find the probability that the row of 21 cars is less than two miles long (each mile contains 5280 feet) if the length of each car is assumed to be fixed at 13.5 feet long. Please round your answer to 3 decimal places. Your Answer:

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Question 3 (1 point) A rod is made up of five sections. A study of the individual sections shows that the end sections have mean lengths of \( 1.001 \mathrm{in} \). and the three middle sections have mean lengths of \( 1.999 \mathrm{in} \). each. The standard deviation of the length of each section is \( 0.004 \mathrm{in} \). if random assembly is employed, what is the probability the assembled rod will have length in excess of 8.002 in? Round your answer to 3 decimal places. Your Answer: \( \square \) Answer

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Robin Corrigan verified

Numerade educator

Question 8 (1 point) Exercise 35.9. Find the value of a so that, if Z is a standard Normal random variable, then P(a < Z < 0.54) = 0.3898. GIVE THE ABSOLUTE VALUE OF a, rounded to 2 decimal places. Your Answer:

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