An educator believes that the proportion of finance majors seeking to earn an MBAdegree equals the proportion of management majors seeking to earn an MBA degree inthe population. A random sample of 100 finance majors is taken and 24 indicate that theywill seek to eam an MBA degree. Likewise, a random sample of 400 management majoreis taken and 65 indicate that they will seek to earn an MBA dagree. Using thisinformation, test the educator's claim at the 0.05 level (

Name: An educator believes that the proportion of finance majors seeking to
Uploaded: 2024-03-20T07:06:41.000Z
Channel: Bartleby
Description: An educator believes that the proportion of finance majors seeking to earn an MBAdegree equals the proportion of management majors seeking to earn an MBA degree inthe population. A random sample of 100 finance majors is taken and 24 indicate that th

If we want to compare two proportion then the Z test statistic is, Z=p1⏞-p2⏜P(1-P)(1n1+1n2) Here n1…

Math

Statistics

n educator believes that the proportion of finam gree equals the proportion of management ma e population. A random sample of 100 finance ill seek to eam an MBA degree. Likewise, a ra taken and 65 indicate that they will seek to eam formation, test the educator's claim at the 0.05

n educator believes that the proportion of finam gree equals the proportion of management ma e population. A random sample of 100 finance ill seek to eam an MBA degree. Likewise, a ra taken and 65 indicate that they will seek to eam formation, test the educator's claim at the 0.05

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

In 2015, the average duration of long-distance telephone calls from a certain town was 3.9 minutes.A telephone company wants to perform a test to determine whether this average duration of longdistance calls has changed. Fifty calls, originating from the town, was randomly selected and thefollowing summary minutes.∑ ? = 205 ∑(? − ?̅)∑(? − ?̅)2 = 56.43 a) Calculate the sample mean, ?̅. b) Calculate the sample standard deviation c) Using the p value approach at the 1% level of significance, test whether the mean duration oflong-distance calls from the town had increased. d) Construct the 99% confidence interval for the population mean duration of the long-distance calls from the town. Answer sub-parts (d)
5. A credit score is used by credit agencies (such as mortgage companies and banks) to assess the creditworthiness of individuals. Values range from 300 to 850, with a credit score over 700 considered to be a quality credit risk. According to a survey, the mean credit score is 702.9. A credit analyst wondered whether high-income individuals (incomes in excess of $100,000 per year) had higher credit scores. He obtained a random sample of 32 high-income individuals and found the sample mean credit score to be 719.1 with a standard deviation of 80.6. Conduct the appropriate test to determine if high-income individuals have higher credit scores at the a = 0.05 level of significance. State the null and alternative hypotheses. Ho: H (1) H: μ (2) (Type integers or decimals. Do not round.) Identify the t-statistic. to = (Round to two decimal places as needed.) Identify the P-value. P-value = (Round to three decimal places as needed.) Make a conclusion regarding the hypothesis. (3) the null…
On the PSAT test taken by about 1.5 million high school juniors each year, the mean score on the reading portion of the test was 46.9, with a standard deviation of 10.9. The scores are normally distributed. If a student needed a score on this portion of the test that put them in the top 5% of scores nationally to qualify for a particular scholarship, what is the minimum score they must achieve?
At CPU, it is estimated that fewer than 25% of the students have cars on campus. Does this seem to be a valid estimate if, a random sample of 90 college students, 28 are found to have cars? Use a 0.05 level of significance.
Also need to find the standardized test statistic, decide whether to reject or fail to reject, and interpret the decision in the context of the claim.
In a recent year, some professional baseball player complained that umpires were calling more strikes than the rate of 61% called the previous year. At one point in the season, umpire Dan Morrison called strikes in 2231 out of 3581 pitches (based on data from USA Today. Úse a 0.10 significant level to test the claim that Morrison's strike rate is higher than 61%.
This question uses information from the previous question. At 5% significance level, carry out a test to investigate if employment sector makes any difference to the amount of paternity leave taken.You need to: 1. define new notation (if any), 2. briefly justify your testing procedure, 3. state the hypotheses, 4. calculate the test statistic and show steps of derivation, 5. use the p-value approach, 6. make a decision for the test and briefly explain.
A gigantic warehouse stores approximately 70 million empty aluminum beer and soda cans. Recently, a fire occurred at the warehouse. The smoke from the fire contaminated many of the cans with blackspot, rendering them unusable. A statistician was hired by the insurance company to estimate p, the true proportion of cans in the warehouse that were contaminated by the fire. How many aluminum cans should be randomly sampled to estimate p to within 0.02 with 95% confidence? The statistician should sample (Round up to the nearest can.) cans to estimate the proportion that were contaminated by the fire to within 0.02 with 95% confidence.