Introductory Statistics (10th Edition)
10th Edition
ISBN: 9780321989178
Author: Neil A. Weiss
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 7.2, Problem 55E
For Exercises 7.55–7.57, refer to Equations (7.1) and (7.2) on pages 315 and 316, respectively.
7.55 Suppose that a simple random sample is taken without replacement from a finite population of size N.
- a. Show mathematically that Equations (7.1) and (7.2) are identical for
samples of size 1. - b. Explain in words why part (a) is true.
- c. Without doing any computations, determine σx for samples of size N without replacement. Explain your reasoning.
- d. Use Equation (7.1) to verify your answer in part (c).
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Course Home
✓
Do Homework - Practice Ques ✓
My Uploads | bartleby
+
mylab.pearson.com/Student/PlayerHomework.aspx?homeworkId=688589738&questionId=5&flushed=false&cid=8110079¢erwin=yes
Online SP 2025 STA 2023-009 Yin
= Homework: Practice Questions Exam 3
Question list
* Question 3
* Question 4
○ Question 5
K
Concluir atualização:
Ava Pearl 04/02/25 9:28 AM
HW Score: 71.11%, 12.09 of 17 points
○ Points: 0 of 1
Save
Listed in the accompanying table are weights (kg) of randomly selected U.S. Army male personnel measured in 1988 (from "ANSUR I 1988") and different weights (kg) of randomly selected U.S.
Army male personnel measured in 2012 (from "ANSUR II 2012"). Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not
assume that the population standard deviations are equal. Complete parts (a) and (b).
Click the icon to view the ANSUR data.
a. Use a 0.05 significance level to test the claim that the mean weight of the 1988…
solving problem 1
select bmw stock. you can assume the price of the stock
Chapter 7 Solutions
Introductory Statistics (10th Edition)
Ch. 7.1 - Why is sampling often preferable to conducting a...Ch. 7.1 - Why should you generally expect some error when...Ch. 7.1 - In Exercises 7.37.10, we have given population...Ch. 7.1 - In Exercises 7.37.10, we have given population...Ch. 7.1 - In Exercises 7.37.10, we have given population...Ch. 7.1 - Prob. 6ECh. 7.1 - In Exercises 7.37.10, we have given population...Ch. 7.1 - Prob. 8ECh. 7.1 - Prob. 9ECh. 7.1 - In Exercises 7.37.10, we have given population...
Ch. 7.1 - Exercises 7.117.23 are intended solely to provide...Ch. 7.1 - Exercises 7.117.23 are intended solely to provide...Ch. 7.1 - Exercises 7.117.23 are intended solely to provide...Ch. 7.1 - Exercises 7.117.23 are intended solely to provide...Ch. 7.1 - Exercises 7.117.23 are intended solely to provide...Ch. 7.1 - Exercises 7.117.23 are intended solely to provide...Ch. 7.1 - Exercises 7.117.23 are intended solely to provide...Ch. 7.1 - Exercises 7.117.23 are intended solely to provide...Ch. 7.1 - Exercises 7.117.23 are intended solely to provide...Ch. 7.1 - Exercises 7.117.23 are intended solely to provide...Ch. 7.1 - Prob. 21ECh. 7.1 - Exercises 7.117.23 are intended solely to provide...Ch. 7.1 - Prob. 23ECh. 7.1 - Prob. 24ECh. 7.1 - Suppose that a random sample of size 1 is to be...Ch. 7.2 - Although, in general, you cannot know the sampling...Ch. 7.2 - Why is obtaining the mean and standard deviation...Ch. 7.2 - Does the sample size have an effect on the mean of...Ch. 7.2 - Does the sample size have an effect on the...Ch. 7.2 - Explain why increasing the sample size tends to...Ch. 7.2 - Prob. 31ECh. 7.2 - Prob. 32ECh. 7.2 - Prob. 33ECh. 7.2 - Prob. 34ECh. 7.2 - Exercises 7.337.40 require that you have done...Ch. 7.2 - Prob. 36ECh. 7.2 - Prob. 37ECh. 7.2 - Prob. 38ECh. 7.2 - Prob. 39ECh. 7.2 - Prob. 40ECh. 7.2 - Exercises 7.417.45 require that you have done...Ch. 7.2 - Prob. 42ECh. 7.2 - Prob. 43ECh. 7.2 - Exercises 7.417.45 require that you have done...Ch. 7.2 - Exercises 7.417.45 require that you have done...Ch. 7.2 - Young Adults at Risk. Research by R. Pyhala et al....Ch. 7.2 - Baby Weight. The paper Are Babies Normal? by T....Ch. 7.2 - Menopause in Mexico. In the article Age at...Ch. 7.2 - Mobile Homes. According to the U.S. Census Bureau...Ch. 7.2 - Undergraduate Binge Drinking. Alcohol consumption...Ch. 7.2 - Earthquakes. According to The Earth: Structure,...Ch. 7.2 - Bachelors Completion. As reported by the U.S....Ch. 7.2 - SAT Scores. Each year, thousands of high school...Ch. 7.2 - Unbiased and Biased Estimators. A statistic is...Ch. 7.2 - For Exercises 7.557.57, refer to Equations (7.1)...Ch. 7.2 - For Exercises 7.557.57, refer to Equations (7.1)...Ch. 7.2 - Prob. 57ECh. 7.2 - Prob. 58ECh. 7.2 - Gestation Periods of Humans. For humans, gestation...Ch. 7.2 - Prob. 60ECh. 7.3 - A variable of a population has a mean of = 100...Ch. 7.3 - A variable of a population has a mean of = 35 and...Ch. 7.3 - A variable of a population is normally distributed...Ch. 7.3 - A variable of a population has mean and standard...Ch. 7.3 - Refer to Fig. 7.6 on page 323. a. Why are the four...Ch. 7.3 - According to the central limit theorem, for a...Ch. 7.3 - Brain Weights. In 1905, R. Pearl published the...Ch. 7.3 - New York City 10-km Run. As reported by Runners...Ch. 7.3 - Teacher Salaries. Data on salaries in the public...Ch. 7.3 - Loan Amounts. B. Ciochetti et al. studied mortgage...Ch. 7.3 - Nurses and Hospital Stays. In the article A...Ch. 7.3 - Women at Work. In the article Job Mobility and...Ch. 7.3 - Ethanol Railroad Tariffs. An ethanol railroad...Ch. 7.3 - Taller Young Women. In the document Anthropometric...Ch. 7.3 - Poverty and Dietary Calcium. Calcium is the most...Ch. 7.3 - Early-Onset Dementia. Dementia is the loss of the...Ch. 7.3 - Worker Fatigue. A study by M. Chen et al. titled...Ch. 7.3 - Prob. 78ECh. 7.3 - Use the empirical rule for variables to answer the...Ch. 7.3 - Testing for Content Accuracy. A brand of...Ch. 7.3 - Gestation Periods of Humans. For humans, gestation...Ch. 7.3 - Emergency Room Traffic. A variable is said to have...Ch. 7 - Define sampling error.Ch. 7 - Prob. 2RPCh. 7 - Prob. 3RPCh. 7 - Prob. 4RPCh. 7 - Officer Salaries. The following table gives the...Ch. 7 - Officer Salaries. Refer to Problem 5. a. Use the...Ch. 7 - The following graph shows the curve for a normally...Ch. 7 - Income Tax and the IRS. In 2010, the Internal...Ch. 7 - New Car Passion. Edmunds.com publishes information...Ch. 7 - Prob. 10RPCh. 7 - Prob. 11RPCh. 7 - Prob. 12RPCh. 7 - Western Pygmy-Possum. Refer to Problem 12. a. Find...Ch. 7 - Prob. 14RPCh. 7 - Life Insurance in Force. The American Council of...Ch. 7 - Prob. 16RPCh. 7 - Prob. 17RPCh. 7 - Athletic Coping Skills Inventory. The Athletic...Ch. 7 - Random Numbers. A variable is said to be uniformly...Ch. 7 - Prob. 1FDACh. 7 - At the beginning of this chapter, we discussed a...
Additional Math Textbook Solutions
Find more solutions based on key concepts
(a) Make a stem-and-leaf plot for these 24 observations on the number of customers who used a down-town CitiBan...
APPLIED STAT.IN BUS.+ECONOMICS
The largest polynomial that divides evenly into a list of polynomials is called the _______.
Elementary & Intermediate Algebra
For Problems 23-28, write in simpler form, as in Example 4. logbFG
Finite Mathematics for Business, Economics, Life Sciences and Social Sciences
1. How is a sample related to a population?
Elementary Statistics: Picturing the World (7th Edition)
Empirical versus Theoretical A Monopoly player claims that the probability of getting a 4 when rolling a six-si...
Introductory Statistics
Find E(X) for each of the distributions given in Exercise 2.1-3.
Probability And Statistical Inference (10th Edition)
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- This problem is based on the fundamental option pricing formula for the continuous-time model developed in class, namely the value at time 0 of an option with maturity T and payoff F is given by: We consider the two options below: Fo= -rT = e Eq[F]. 1 A. An option with which you must buy a share of stock at expiration T = 1 for strike price K = So. B. An option with which you must buy a share of stock at expiration T = 1 for strike price K given by T K = T St dt. (Note that both options can have negative payoffs.) We use the continuous-time Black- Scholes model to price these options. Assume that the interest rate on the money market is r. (a) Using the fundamental option pricing formula, find the price of option A. (Hint: use the martingale properties developed in the lectures for the stock price process in order to calculate the expectations.) (b) Using the fundamental option pricing formula, find the price of option B. (c) Assuming the interest rate is very small (r ~0), use Taylor…arrow_forwardDiscuss and explain in the picturearrow_forwardBob and Teresa each collect their own samples to test the same hypothesis. Bob’s p-value turns out to be 0.05, and Teresa’s turns out to be 0.01. Why don’t Bob and Teresa get the same p-values? Who has stronger evidence against the null hypothesis: Bob or Teresa?arrow_forward
- Review a classmate's Main Post. 1. State if you agree or disagree with the choices made for additional analysis that can be done beyond the frequency table. 2. Choose a measure of central tendency (mean, median, mode) that you would like to compute with the data beyond the frequency table. Complete either a or b below. a. Explain how that analysis can help you understand the data better. b. If you are currently unable to do that analysis, what do you think you could do to make it possible? If you do not think you can do anything, explain why it is not possible.arrow_forward0|0|0|0 - Consider the time series X₁ and Y₁ = (I – B)² (I – B³)Xt. What transformations were performed on Xt to obtain Yt? seasonal difference of order 2 simple difference of order 5 seasonal difference of order 1 seasonal difference of order 5 simple difference of order 2arrow_forwardCalculate the 90% confidence interval for the population mean difference using the data in the attached image. I need to see where I went wrong.arrow_forward
- Microsoft Excel snapshot for random sampling: Also note the formula used for the last column 02 x✓ fx =INDEX(5852:58551, RANK(C2, $C$2:$C$51)) A B 1 No. States 2 1 ALABAMA Rand No. 0.925957526 3 2 ALASKA 0.372999976 4 3 ARIZONA 0.941323044 5 4 ARKANSAS 0.071266381 Random Sample CALIFORNIA NORTH CAROLINA ARKANSAS WASHINGTON G7 Microsoft Excel snapshot for systematic sampling: xfx INDEX(SD52:50551, F7) A B E F G 1 No. States Rand No. Random Sample population 50 2 1 ALABAMA 0.5296685 NEW HAMPSHIRE sample 10 3 2 ALASKA 0.4493186 OKLAHOMA k 5 4 3 ARIZONA 0.707914 KANSAS 5 4 ARKANSAS 0.4831379 NORTH DAKOTA 6 5 CALIFORNIA 0.7277162 INDIANA Random Sample Sample Name 7 6 COLORADO 0.5865002 MISSISSIPPI 8 7:ONNECTICU 0.7640596 ILLINOIS 9 8 DELAWARE 0.5783029 MISSOURI 525 10 15 INDIANA MARYLAND COLORADOarrow_forwardSuppose the Internal Revenue Service reported that the mean tax refund for the year 2022 was $3401. Assume the standard deviation is $82.5 and that the amounts refunded follow a normal probability distribution. Solve the following three parts? (For the answer to question 14, 15, and 16, start with making a bell curve. Identify on the bell curve where is mean, X, and area(s) to be determined. 1.What percent of the refunds are more than $3,500? 2. What percent of the refunds are more than $3500 but less than $3579? 3. What percent of the refunds are more than $3325 but less than $3579?arrow_forwardA normal distribution has a mean of 50 and a standard deviation of 4. Solve the following three parts? 1. Compute the probability of a value between 44.0 and 55.0. (The question requires finding probability value between 44 and 55. Solve it in 3 steps. In the first step, use the above formula and x = 44, calculate probability value. In the second step repeat the first step with the only difference that x=55. In the third step, subtract the answer of the first part from the answer of the second part.) 2. Compute the probability of a value greater than 55.0. Use the same formula, x=55 and subtract the answer from 1. 3. Compute the probability of a value between 52.0 and 55.0. (The question requires finding probability value between 52 and 55. Solve it in 3 steps. In the first step, use the above formula and x = 52, calculate probability value. In the second step repeat the first step with the only difference that x=55. In the third step, subtract the answer of the first part from the…arrow_forward
- If a uniform distribution is defined over the interval from 6 to 10, then answer the followings: What is the mean of this uniform distribution? Show that the probability of any value between 6 and 10 is equal to 1.0 Find the probability of a value more than 7. Find the probability of a value between 7 and 9. The closing price of Schnur Sporting Goods Inc. common stock is uniformly distributed between $20 and $30 per share. What is the probability that the stock price will be: More than $27? Less than or equal to $24? The April rainfall in Flagstaff, Arizona, follows a uniform distribution between 0.5 and 3.00 inches. What is the mean amount of rainfall for the month? What is the probability of less than an inch of rain for the month? What is the probability of exactly 1.00 inch of rain? What is the probability of more than 1.50 inches of rain for the month? The best way to solve this problem is begin by a step by step creating a chart. Clearly mark the range, identifying the…arrow_forwardClient 1 Weight before diet (pounds) Weight after diet (pounds) 128 120 2 131 123 3 140 141 4 178 170 5 121 118 6 136 136 7 118 121 8 136 127arrow_forwardClient 1 Weight before diet (pounds) Weight after diet (pounds) 128 120 2 131 123 3 140 141 4 178 170 5 121 118 6 136 136 7 118 121 8 136 127 a) Determine the mean change in patient weight from before to after the diet (after – before). What is the 95% confidence interval of this mean difference?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:Cengage
Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt
Mathematics For Machine TechnologyAdvanced MathISBN:9781337798310Author:Peterson, John.Publisher:Cengage Learning,
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:9781133382119
Author:Swokowski
Publisher:Cengage
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Mathematics For Machine Technology
Advanced Math
ISBN:9781337798310
Author:Peterson, John.
Publisher:Cengage Learning,
Statistics 4.1 Point Estimators; Author: Dr. Jack L. Jackson II;https://www.youtube.com/watch?v=2MrI0J8XCEE;License: Standard YouTube License, CC-BY
Statistics 101: Point Estimators; Author: Brandon Foltz;https://www.youtube.com/watch?v=4v41z3HwLaM;License: Standard YouTube License, CC-BY
Central limit theorem; Author: 365 Data Science;https://www.youtube.com/watch?v=b5xQmk9veZ4;License: Standard YouTube License, CC-BY
Point Estimate Definition & Example; Author: Prof. Essa;https://www.youtube.com/watch?v=OTVwtvQmSn0;License: Standard Youtube License
Point Estimation; Author: Vamsidhar Ambatipudi;https://www.youtube.com/watch?v=flqhlM2bZWc;License: Standard Youtube License