Chapter P, Section 5, Exercise 164Random Samples of College Degree ProportionsThe distribution of sample proportions of US adults withcollege degree for random samples of size n = 500 is N (0.325, 0.021). How often will such samples have a proportion, p, that is morethan 0.345 ?Round your answer to one decimal place.% of samples of 500 US adults will contain more than 34.5% with at least a bachelor's degree.the absolute tolerance is +/-0.1Click if vou would like to Show Work for this question: open Show Work

Name: Chapter P, Section 5, Exercise 164Random Samples of College Degree Pr
Uploaded: 2024-03-20T07:07:37.000Z
Channel: Bartleby
Description: Chapter P, Section 5, Exercise 164Random Samples of College Degree ProportionsThe distribution of sample proportions of US adults withcollege degree for random samples of size n = 500 is N (0.325, 0.021). How often will such samples have a proportio

Answered: Image /qna-images/answer/3f8ef6bc-df03-41ac-8c98-cf4f72ee253e.jpg

Math

Statistics

Chapter P, Section 5, Exercise 164 Random Samples of College Degree Proportions The distribution of sample proportions of US adults with a college degree for random samples of size n = 500 is N (0.325, 0.021). How often will such samples have a proportion, p, that is mor than 0.345 ? Round your answer to one decimal place. % of samples of 500 US adults will contain more than 34.5% with at least a bachelor's degree. the absolute tolerance is +/-0.1

Chapter P, Section 5, Exercise 164 Random Samples of College Degree Proportions The distribution of sample proportions of US adults with a college degree for random samples of size n = 500 is N (0.325, 0.021). How often will such samples have a proportion, p, that is mor than 0.345 ? Round your answer to one decimal place. % of samples of 500 US adults will contain more than 34.5% with at least a bachelor's degree. the absolute tolerance is +/-0.1

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

A sample is selected from a normal population with a mean of µ = 40. If the sample mean is M = 45, which of the following combinations would make the sample mean a typical, representative value for the population? Group of answer choices
11. You have two ways to travel from Irbid to Aqaba. The first one is Al-Sahrawi road and the second one is Dead Sea road. The mean and standard deviation of reach time is summarized in the table below: Street X bar Sigma Al-Sahrawi (S) 5.60 hours 0.40 hours 50 Dead- Sea (D) 5.30 hours 0.30 hours 100 Where X bar: Sample Mean Sigma: Population Standard Deviation n: Sample Size The result of Testing the state hypothesis at 0.01 significance (the two samples are unrelated) HO: p_ssp_D H1: p_s>p_D is:
The national distribution of fatal work injuries in a country is shown in the table to the right under National %. You believe that the distribution of fatal work injuries is different in the western part of the country and randomly select 6231 fatal work injuries occurring in that region. At a = 0.05 National % 42% Western Frequency 2893 Cause Transportation can you conclude that the distribution of fatal work injuries in the west is different from the national distribution? Complete parts a through d below. Equipment Assaults Falls Harmful fumes 19% 1157 14% 806 13% 753 10% 532 Fires 2% 90 a. State Ho and H and identify the claim. What is the null hypothesis, Ho? O A. The distribution of fatal work injuries in the west is 42% transportation, 19% equipment, 14% assaults, 13% falls, 10% harmful fumes, and 2% fires O B. The distribution of fatal work injuries in the west differs from the expected distribution. O C. The distribution of fatal work injuries in the west is 2893…
Part 3: Hypothesis tests for two proportions, Chi square tests and Correlation Check to see if the number of sales for any age group is significantly different than the rest. You believe that each age group has the same percent of sales and that no sales are made to people over 59 years old. Complete the table below. Age group Claimed Percentages (answer) Actual number of sales 0 to 19 1/5 = 0.20 22 20 to 29 1/5 = 0.20 34 30 to 39 1/5 = 0.20 30 40 to 49 1/5 = 0.20 26 50 to 59 1/5 = 0.20 20 Run the appropriate hypothesis test to determine if the actual data is significantly different than a flat distribution of equal sales for each age group at the 0.05 significance level. Copy and paste information from the ESP Excel sheet, including the p-value and summarize your results.
In each graph, the shaded region represents the P-value of a hypothesis test. Find the P-value, given that the Standardized Test Statistic is T = - 1.9. Round to 4 decimals a. -4 -3 -2 -1 4 T (df.= 19) b. -2 -1 2. T (df. = 19) c. -1 1 4 T (df. = 19) Submit Question MacBook Air
kindly help me with this exercise thank you! Answer only 1and 2
Pls refer to image
Exhibit 9-5 n = 16 HO: u z 80 x = 75.607 Hạ: u < 80 o = 8.246 Assume the population is normally distributed. 3. Refer to Exhibit 9-5. The test statistic equals .53 -2.131 -.53 2.131
204 A large beverage company would like to use a statistical process control to monitor how much liquid beverage it puts into each 350 ml bottle. The company operated its bottle filling line under careful supervision, confident that the line was under complete control, for seven hours. Each hour, a sample of 20 bottles was taken off the line and the amount of liquid in each bottle was carefully measured. This is the resulting data: Sample No. Sample Sample Mean Range #1 350.85 ml 0.6 ml #2 350.80 ml 0.8 ml #3 351.20 ml 0.5 ml # 4 351.00 ml 1.0 ml #5 350 62 ml | 0.8 ml #6 351.12 ml| 0.7 ml #7 351.50 ml 0.8 ml Which of the following is the upper control limit on the beverage company's mean chart? A. 0.30 ml O B. 350.68 ml O C. 351.15 ml O D. 1.18 ml O E. 350.88 ml
multiple choice
You want to obtain a sample to estimate the proportion of a population that possess a particular genetic marker. Based on previous evidence, you believe approximately P∗=15% of the population have the genetic marker. You would like to be 98% confident that your estimate is within 3% of the true population proportion. How large of a sample size is required?n =
Question A and C please!