3) The output voltage for a power supply is given in the test sample data below:Observation1234501678910111213141516voltage10.359.3109.9611.651211.259.5811.549.9510.288.3710.449.259.3810.85a) Use a hypothesis test to see if the mean voltageequals 11.0 V with a = 0.05.b)Report the P-value for the test in part a.c) Calculate the 2-sided 95% confidence interval for u.

Given data: Observation Voltage 1 10.35 2 9.3 3 10 4 9.96 5 11.65 6 12 7 11.25 8…

Answered: 3) The output voltage for a power…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Listed below are the lead concentrations in mu g/g measured in different traditional medicines. Use a 0.05 significance level to test the claim that the mean lead concentration for all such medicines is less than 18 mu g/g. Assume that the sample is a simple random sample. a. Determine the test statistic. (Round to two decimal places as needed.) b. Determine the P-value. (Round to three decimal places as needed.)
Following automobiles were tested for fuel efficiency (in miles per gallon). This frequency distribution was obtained. Class boundaries Frequency 12.5–17.5 8 17.5–22.5 15 22.5–27.5 7 27.5–32.5 5 a) Find Mean, Median and Mode. b) Find sample standard deviation.
Q6: The following data represents the discharge of an irrigation channel during a specific time. Determine: 1) 1. Average and median, 2) 2. Variance and Standard deviation, 3) 3. Check the normality of dat, 4) 4.draw the histogram and ascending cumulative frequency. 5.5- 7.5- 9.5- 11.5- 13.5- 15.5- 17.5- 19.5- Time 7.5 9.5 11.5 13.5 15.5 17.5 19.5 21.5 Discharge 3.5 6.3 9.5 11 8.5 6.8 4.9 (m³/hr)
Answer Q.1
What is the IQR for the following box-and-whisker data: Min = 154, LQ = 180, Med = 197.5, UQ = 211, Max = 265 O a. 26 O b. 43.5 O c. 111 O d. 31
The mean potassium content of a popular sports drink is listed as 132 mg in a 32-oz bottle. Analysis of 24 bottles indicates a sample mean of 131.2 mg. (a) State the hypotheses for a two-tailed test of the claimed potassium content.. a. Ho: μ= 132 mg vs. H₁: b. He: ≤132 mg vs. H₁: c. He: ≥132 mg vs. H₁: Oa Ob Oc (b) Assuming a known standard deviation of 2.1 mg, calculate the z test statistic to test the manufacturer's claim. (Round your answer to 2 decimal places. A negative value should be indicated by a minus sign.) Test statistic 132 mg >132 mg <132 mg (c) At the 2 percent level of significance (a = .02) does the sample contradict the manufacturer's claim? Decision Rule: Reject Ho
When students use the bus from their dorms, they have an average commute time of 8.263 minutes with standard deviation 2.9321 minutes. Approximately 75.67% of students reported a commute time greater than how many minutes? Assume the distribution is approximately normal. Question 10 options: 1) 6.22 2) 2.28 3) 14.24 4) 10.3 5) We do not have enough information to calculate the value.
Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"
The following sample data give the flexural strength (MPa) for concrete beams of a certain type. 7.3, 6.3, 6.8, 7.0, 7.6, 6.8, 7.0, 6.3, 7.9, 9.0, 7.8, 9.7, 7.8, 11.6, 11.8, 10.7 Calculate a point estimate of the mean value of strength for the conceptual population of all beams manufactured in this fashion, and give the estimator you used. O Etr(6.25) = 8.09 μ. 8.21 * = 8.21 * = 8.14
Given Samples A and B below Sample A: 2.0 Sample B: 4.3 2.8 4.5 O a. Calculate the mean and standard deviation for each sample. Sample A: XA = Sample B: XB = ; SB = Round to two decimal places if necessary b. Calculate the coefficient of variation for each sample. Sample A: CVA = ; SA = _% 4.2 4.2 4.3 4.0 Sample B: CVB Round to two decimal places if necessary c. Which sample is more variable? o Sample A Sample B Neither sample is more variable than the other 4.4 4.3 3.7 4.9 _% 3.6 2.6 2.8 2.2 2.3 4.1

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