Chapter 2.xlsx Tabs: .doilert rig STARTUP Example 2.1 Example 2.2 Example 2.5 Example 2.6 Bathtub Curve Conditional Reliability EXERCISES 2.1 Consider the following reliability function, where t is in hours: 1 R(t) : t > 0 三 0.001t + 1 (a) Find the reliability after 100 operating hours; after 1000 operating hours. (b) Derive the hazard rate function. Is it an increasing or a decreasing failure rate?
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![Chapter 2.xlsx
Tabs:
.doilert
rig
STARTUP
Example 2.1
Example 2.2
Example 2.5
Example 2.6
Bathtub Curve
Conditional Reliability
EXERCISES
2.1
Consider the following reliability function, where t is in hours:
1
R(t) :
t > 0
三
0.001t + 1
(a) Find the reliability after 100 operating hours; after 1000 operating hours.
(b) Derive the hazard rate function. Is it an increasing or a decreasing failure rate?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F29205d83-83ce-4e53-88da-a8624b56c47c%2F52c60425-34eb-46df-90f1-859a1d8f5b7f%2Fz7n19sl.jpeg&w=3840&q=75)
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- 4 3. 837 784 815 805 843 893 Use exponential regression to find Rn exponential function that best fits these data. Round all values hundredths. f(z) = Use linear regression to find a linear function that best fits these data. Round all values to the hundr g(z) = %3D Of these two, which equation best fits the data? Exponential O LinearThe data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 784 838 822 949 1188 813 Temperature (°F) 65.7 67.8 66.2 79.9 92.3 73.5 What is the regression equation? What is the best-predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute? The best predicted temperature when a bug is chirping at 3000chirps per minute are? What is wrong with this predicted value? Choose the correct answer below. A. It is unrealistically high. The value 3000 is far outside of the range of observed values. B. The first variable should have been the dependent variable. C. It is only an…My work has been attached and the chart. Need to understand side parts D and E. D) Compare the predicted change in greenhouse gas emissions between 2020 and 2025 to the change between 2025 and 2030? During which five-year period is the predicted change greater and by how much or is it the same in the two time periods? E) During what year does this function rule predict that the US emission of greenhouse gasses will decrease to 1000 million metric tons of carbon dioxide equivalents?
- The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 760 1119 1125 850 965 785 D Temperature (°F) 70.5 90.8 90.8 74.7 77.1 69.9 What is the regression equation? (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.)If R is percent of maximum response and x is dose in mg, the dose-response curve for a drug is 100 modeled by R What dose corresponds to the response of 50% of the maximum? 1+120e-0.4z In(110) 0.4 In(120) 0.4 0.4 In 120 O In(120) In(100) 0.4 0.4 In(100)Shelia's doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if the glucose level is above 140 milligrams per deciliter one hour after a sugary drink is ingested. Shelia's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with mean 127 mg/dl and standard deviation 10 mg/dl. Let L denote a patient's glucose level.
- The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best-predicted temperature for a time when a bug is chirping at the rate of 3000chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 1004 952 1237 1116 1177 1249 Temperature (°F) 83.1 76 95.1 87.5 92.1 88.4 What is the regression equation? (^ over y)=_____+_____x (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) What is the best-predicted temperature for a time when a bug is chirping at the rate of 3000chirps per minute? The best-predicted temperature when a bug is chirping at 3000 chirps per minute is ____°F. (Round to one decimal place as needed.) What is wrong with this predicted value? Choose the correct answer below. A. It is…#143. Global Temperatures A research group measured the Earth's globally averaged temperature T during June in 4 different years, and obtained the data listed in the table. Year T (K) 1994 286.73 1 2002 286.83 2 2008 286.90 3 2015 286.98 4 rows x 2 columns What is the expected global temperature in June 2016? I number (rtol=0.01, atol=0.0001) Give a prediction interval for the temperature in June 2017 at the 86% level. Ib number (rtol=0.01, atol=0.0001) ub number (rtol=0.01, atol=0.0001) In what year are you at least 90% confident that the expected June temperature first exceeded 286.78 K? Year number (rtol=0.01, atol=0.0001) A climate-skeptic questions whether the Earth is really getting warmer. How could you test this hypothesis. Compute the relevant test statistic and its associated P-value. (Note: report the absolute value for the statistic) t-statistic number (rtol=0.01, atol=0.0001) P-value number (rtol=0.01, atol=0.0001) What is your conclusion at a 5% significance level? O (a)…price/pound US dollars w A apples plums Fig 1. Inconsistency of prices for common fruit items among twelve major cities oranges This graph shows the difference in average fruit prices, as measured in twelve major cities across the world. The error bars represent + 2 SE. • Is there a statistically significant difference between the average price of apples and plums? How do you know? • Is there a statistically significant difference between the average price of apples and oranges? How do you know?
- Find the mean and standard deviation for each uniform continuous model. (Round "Mean" answers to 1 decimal place and "Standard deviation" answers to 4 decimal places.) Mean Standard deviation a. U(2, 12) 7 b. U(100, 250) 175 c. U(2, 99) 50.5 know I need the standard deviation when I try to calculate it and enter my answer it says its wrong, need helpDiabetes Improving control of blood-glucose levels is an important motivation for the use of insulin pumps by diabe- tic patients. However, certain side effects have been reported with pump therapy. Table 2 provides data on the occurrence of diabetic ketoacidosis (DKA) in patients before and after start of pump therapy. Table 2: Occurrence of DKA in patients before and after start of insulin-pump therapy Before pump therapy After pump therapy No DKA DKA No DKA 145 72 DKA 65 28 10. What is the appropriate procedure to test whether the rate of DKA is different before and after start of the pump therapy? 11. Perform the significance test in Problem 10, and report a p-value.The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 924 1150 840 1166 1087 930 Temperature (°F) 77.5 84.6 74.1 91 79.6 79.7 What is the regression equation? What is the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute? What is wrong with this predicted value? Choose the correct answer below. A. It is unrealistically high. The value 3000 is far outside of the range of observed values. B. The first variable should have been the dependent variable. C. It is only an approximation. An unrounded value would be considered accurate. D. Nothing is wrong with this value. It can be…
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