Please answer the following questions. See attached photo for the problem.1. State the hypotheses and identify the claim.2. Find the critical value(s).3. Compute the test value.4. Make the decision. Show your illustration.5. Summarize the resultsReminder: Round off the final answer of the test value to the nearest hundredths. No rounding off during the process. 2. The average salary for public school teachers for a specific year was reported to be greater thanP39,385. A random sample of 30 public school teachers in a particular region had a mean ofP41,680, and the population standard deviation is P5975. Is there sufficient evidence at the0.05 level to conclude that the mean salary is greater than P39,385?

From the provided information, Population standard deviation (σ) = 5975 Sample mean (x̄) = 41680…

The average salary for public school teachers for a specific year was reported to be greater than P39,385. A random sample of 30 public school teachers in a particular region had a mean of P41,680, and the population standard deviation is P5975. Is there sufficient evidence at the 0.05 level to conclude that the mean salary is greater than P39,385?

The average salary for public school teachers for a specific year was reported to be greater than P39,385. A random sample of 30 public school teachers in a particular region had a mean of P41,680, and the population standard deviation is P5975. Is there sufficient evidence at the 0.05 level to conclude that the mean salary is greater than P39,385?

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

The first picture is the question and the second is the ones that I need help with. Thanks!
*see image for question data* A. What is the p-value for your test? B. What is the conclusion of your test? a. Fail to reject H0 at the 0.05 level. There is evidence that methadone significantly reduced pain levels. b. Reject H0 at the 0.05 level. There is evidence that methadone significantly increased pain levels. c. Reject H0 at the 0.05 level. There is evidence that methadone significantly altered pain levels. d. Reject H0 at the 0.05 level. There is evidence that methadone significantly reduced pain levels.
Solve the 3rd question please
The first picture is the question and the second is the ones that I need help with. thanks!
Find the margin of error for the given values of c, o, and n. c= 0.90, o = 3.4, n= 36 Click the icon to view a table of common critical values. E = (Round to three decimal places as needed.)
No calculations required. Choose correct answer only.
1.Find the standard error for the following scenario. Round your answer to four decimal places. p=.19 and n=100. Population size is 1200 2. fine the standard error for the following scenario. round your answer to four decimal places. P=.19 and n=1000. population size is 50000 3. Find the standard error for the following scenario. Round your answer to four decimal places. p=.40 and n=1000. population size is 50000
Examine the data and identify anything appearing to be unique. Select all that apply. A. The data are presented as quantitative but are actually categorical. B. The unusually large value of 80 minutes appears to be an error in recording the data. C. Most of the data values are rounded to the nearest 5 or 10 minutes, and may be estimates of actual commute times. D. Based on the gaps in the distribution, the data appear to be from two different populations.
You want to obtain a sample to estimate a population proportion. Based on previous evidence, you believe the population proportion is approximately 19%. You would like to be 99% confident that your estimate is within 4.5% of the true population proportion. How large of a sample size is required? Hint: Textbook Video (+] n =
Solve this question please
Please show the full solution and proper notation and terminology. 1. A production manager wants to estimate the proportion of defective parts received from a new supplier. She believes that defective proportion is no more than 0.20 and wants to be within 0.02 of the true proportion of defective parts with 90% level of confidence. How large a sample should she take? thanks.
INSTRUCTION: Perform an appropriate statistical test using the dataset (Sheet name: Raw Data) if a researcher would like to determine if there is a significant difference in the "Serum Creatinine (SCr)" between ages "Under 60" and "60 and Above"? Dataset for this can be retrieved on the given Excel. 1. What is the computed p-value for the given data on the Serum Creatinine (SCr) between "Under 60" and "60 and Above"? Round it off to two decimal places. Then, answer (YES or NO) if there is a significant difference in the Serum Creatinine (SCr) between "Under 60" and "60 and Above"? 2. What is the computed Mean of "Under 60" on the given data for Serum Creatinine (SCr)? Round it off to two decimal places. 3. What is the computed Standard Error of "60 and Above" on the given data for Serum Creatinine (SCr)? Round it off to two decimal places.