x daysy km/1007475349320914.519.15.711.535.9 (d) Find the predicted distance (km/100) when a drift bottle has been floating for 90 days. (Use 2 decimal places.)km/100(e) Find a 90% confidence interval for your prediction of part (d). (Use 1 decimal place.)lower limit|km/100| km/100upper limit() Use a 1% level of significance to test the claim that 8 > 0. (Use 2 decimal places.)critical tConclusionO Reject the null hypothesis, there is sufficient evidence that A > 0.Reject the null hypothesis, there is insufficient evidence that p > 0.Fail to reject the null hypothesis, there is insufficient evidence that B > 0.O Fail to reject the null hypothesis, there is sufficient evidence that p > 0.(9) Find a 95% confidence interval for ß and interpret its meaning in terms of drift rate. (Use 2 decimal places.)lower limitupper limitInterpretationO For every day of drift, the distance drifted decreases by an amount that falls within the confidence interval.For every day of drift, the distance drifted increases by an amount that falls within the confidence interval.For every day of drift, the distance drifted decreases by an amount that falls outside the confidence interval.O For every day of drift, the distance drifted increases by an amount that falls outside the confidence interval.(h) Consider the following scenario. A sailboat had an accident and radioed a Mayday alert with a given latitude andlongitude just before it sank. The survivors are in a small (but well provisioned) life raft drifting in the part of thePacific Ocean under study. After 30 days, how far from the accident site should a rescue plane expect to look? (Use2 decimal places.)km/100

Name: x daysy km/1007475349320914.519.15.711.535.9 (d) Find the predicted d
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: x daysy km/1007475349320914.519.15.711.535.9 (d) Find the predicted distance (km/100) when a drift bottle has been floating for 90 days. (Use 2 decimal places.)km/100(e) Find a 90% confidence interval for your prediction of part (d). (Use 1 decimal

Note: " Since you have posted many sub-parts. we will solve the first three sub-parts for you. To…

Math

Statistics

(d) Find the predicted distance (km/100) when a drift bottle has been floating for 90 days. (Use 2 decimal places.) | km/100 (e) Find a 90% confidence interval for your prediction of part (d). (Use 1 decimal place.) lower limit upper limit | km/100 )km/100 (1) Use a 1% level of significance to test the claim that p > 0. (Use 2 decimal places.) critical e[ Conclusion O Reject the null hypothesis, there is sufficient evidence that ß > 0. O Reject the null hypothesis, there is insufficient evidence that p > 0. O Fail to reject the null hypothesis, there is insufficient evidence that p > 0. O Fail to reject the null hypothesis, there is sufficient evidence that ß > 0.

(d) Find the predicted distance (km/100) when a drift bottle has been floating for 90 days. (Use 2 decimal places.) | km/100 (e) Find a 90% confidence interval for your prediction of part (d). (Use 1 decimal place.) lower limit upper limit | km/100 )km/100 (1) Use a 1% level of significance to test the claim that p > 0. (Use 2 decimal places.) critical e[ Conclusion O Reject the null hypothesis, there is sufficient evidence that ß > 0. O Reject the null hypothesis, there is insufficient evidence that p > 0. O Fail to reject the null hypothesis, there is insufficient evidence that p > 0. O Fail to reject the null hypothesis, there is sufficient evidence that ß > 0.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Please help not graded
A company claims that the mean monthly residential electricity consumption in a certain region is more than 870 kilowatt-hours (kWh). You want to test this claim. You find that a random sample of 69 residential customers has a mean monthly consumption of 900 kWh. Assume the population standard deviation is 121 kWh. At a = 0.05, can you support the claim? Complete parts (a) through (e). (a) Identify Ho and H₂. Choose the correct answer below. OA. Ho: >870 (claim) H₂: H≤870 OC. Ho: μ≤900 Ha: >900 (claim) E. Ho: H≤870 H: >870 (claim) OB. Ho: H=900 OA. The rejection region is z> 1.64. OB. The rejection region is z 1.64. H₂: #900 (claim) OD. Ho: H=870 (claim) Ha: 870 OF. Ho: >900 (claim) Ha: HS900 (b) Find the critical value(s) and identify the rejection region(s). Select the correct choice below and fill in the answer box within your choice. Use technology. (Round to two decimal places as needed.) A. The critical value is 1.64. OB. The critical values are t Identify the rejection…
Overproduction of uric acid in the body can be an indication of cell breakdown. This may be an advance indication of illness such as gout, leukemia, or lymphoma.+ Over a period months, an adult male patient has taken five blood tests for uric acid. The mean concentration was x = 5.34 mg/dl. The distribution of uric acid in healthy adult males can be assumed to be normal, with σ = 1.83 mg/dl. (a) Find a 95% confidence interval for the population mean concentration of uric acid in this patient's blood. What is the margin of error? (Round your answers to two decimal places.) lower limit upper limit margin of error (b) What conditions are necessary for your calculations? (Select all that apply.) Oo is unknown O uniform distribution of uric acid F σ is known O normal distribution of uric acid On is large (c) Interpret your results in the context of this problem. O The probability that this interval contains the true average uric acid level for this patient is 0.05. O The probability that…
please,detailed solution for you to understand
please find the values in part a and b and round to four decimal places -thanks
One tree in the study had a weight that exceeded its expected weight (according to the best fit curve) by more than that of any other tree. By how many tons did the trees actual weight exceed the expected weight for its height?
Find the area of the shaded region. The graph depicts the standard normal distribution of bone density scores with mean 0 and standard deviation 1. ← 2 W S The area of the shaded region is (Round to four decimal places as needed.) आईड SA H nd D X 2Demo Outline....docx 3 E 8.0 F3 D C $ 4 a F4 R F V chapt21_lecture....pdf % 5 e " T G 1 ^ 6 B MacBook Air F6 Y H & 7 chapt22_lecture.....pdf N U √₁ Vi J * 8 DII FB I M 1, (0,0) ( 9 K chapt23_lecture....pdf DD FO More O < I H ) O F10 command P J L V Time Remaining:00:42:40 Next - : ; I 4 F11 { [ option + = 11 z = -0.92 ? 1 I Show All F12 1 X X Q C delete L
Answer the exercise of the image. (In the other image are the final answers, this to verify the final answer).
es point(s) possible Workers at a certain soda drink factory collected data on the volumes (in ounces) of a simple random sample of 22 cans of the soda drink. Those volumes have a mean of 12.19 oz and a standard deviation of 0.14 oz, and they appear to be from a normally distributed population. If the workers want the filling process to work so that almost all cans have volumes between 11.98 oz and 12.70 oz, the range rule of thumb can be used to estimate that the standard deviation should be less than 0.18 oz. Use the sample data to test the claim that the population of volumes has a standard deviation less than 0.18 oz. Use a 0.05 significance level. Complete parts (a) through (d) below. b. Compute the test statistic. x²=0 (Round to three decimal places as needed.) c. Find the P-value. P-value= (Round to four decimal places as needed.) d. State the conclusion. the level of significance. There is evidence to conclude that the population Ho, because the P-value is standard deviation of…
= 222 mg/dLi and Total cholesterol levels for middle aged men (aged 55 – 64) follow approximately a normal distribution with mean, µ standard deviation, o = 37 mg/dLi. Those with a total cholesterol of 240 mg/dLi or higher have "high" cholesterol (and have twice the risk of coronary heart disease as someone with a total cholesterol less than 200 mg/dLi) Find the Z-score (standard score) for an observation of 290 mg/dl.
(1 point) A random sample of 110 observations produced a mean of x = 34.7 from a population with a normal distribution and a standard deviation o = 4.39. (a) Find a 99% confidence interval for u (b) Find a 95% confidence interval for (c) Find a 90% confidence interval for u
David and Patrick are playing baseball for the Cafe Tropical team. Suppose that the distance of fly balls hit to the outfield (in baseball) is normally distributed with a mean of 250 feet and a standard deviation of 50 feet. If X = distance in feet for a fly ball, then X ~ N ( , ) If one fly ball is randomly chosen from this distribution, what is the probability that this ball traveled less than 220 feet? Sketch the graph. Scale the horizontal axis X. Shade the region corresponding to the probability. Find the probability. P = Find the 80th percentile of the distribution of fly balls. 80th Percentile: feet