Applied Statistics in Business and Economics
5th Edition
ISBN: 9781259329050
Author: DOANE
Publisher: MCG
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Chapter 7.4, Problem 25SE
To determine
Find the number of standard deviations below the
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A 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…
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…
Client
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
Chapter 7 Solutions
Applied Statistics in Business and Economics
Ch. 7.1 - Flight 202 is departing Los Angeles. Is each...Ch. 7.1 - It is Saturday morning at Starbucks. Is each...Ch. 7.1 - Which of the following could not be probability...Ch. 7.1 - For a continuous PDF, why cant we sum the...Ch. 7.2 - Find the mean and standard deviation for each...Ch. 7.2 - Find each uniform continuous probability and...Ch. 7.2 - For a continuous uniform distribution, why is P(25...Ch. 7.2 - Assume the weight of a randomly chosen American...Ch. 7.3 - If all normal distributions have the same shape,...Ch. 7.3 - (a) At what x value does f (x) reach a maximum for...
Ch. 7.3 - State the Empirical Rule for a normal distribution...Ch. 7.3 - Discuss why you would or would not expect each of...Ch. 7.4 - Find the standard normal area for each of the...Ch. 7.4 - Find the standard normal area for each of the...Ch. 7.4 - Find the standard normal area for each of the...Ch. 7.4 - Find the standard normal area for each of the...Ch. 7.4 - Find the standard normal area for each of the...Ch. 7.4 - Bobs exam score was 2.17 standard deviations above...Ch. 7.4 - Joans finishing time for the Bolder Boulder 10K...Ch. 7.4 - Find the associated z-score for each of the...Ch. 7.4 - Prob. 21SECh. 7.4 - Find the associated z-score or scores that...Ch. 7.4 - Prob. 23SECh. 7.4 - High school students across the nation compete in...Ch. 7.4 - Prob. 25SECh. 7.4 - Daily output of Marathons Garyville, Lousiana,...Ch. 7.4 - Assume that the number of calories in a McDonalds...Ch. 7.4 - The weight of a miniature Tootsie Roll is normally...Ch. 7.4 - The pediatrics unit at Carver Hospital has 24...Ch. 7.4 - The cabin of a business jet has a cabin height 5...Ch. 7.4 - On January 1, 2011, a new standard for baseball...Ch. 7.4 - Last years freshman class at Big State University...Ch. 7.4 - The time required to verify and fill a common...Ch. 7.4 - The time required to cook a pizza at a...Ch. 7.4 - The weight of a McDonalds cheeseburger is normally...Ch. 7.4 - The weight of a small Starbucks coffee is a...Ch. 7.4 - The weights of newborn babies in Foxboro Hospital...Ch. 7.4 - The credit scores of 35-year-olds applying for a...Ch. 7.4 - The number of patients needing a bed at any point...Ch. 7.4 - A ski resort pays its part-time seasonal employees...Ch. 7.4 - The average cost of an IRS Form 1040 tax filing at...Ch. 7.4 - Use Excel to find each probability. a. P(X 110)...Ch. 7.4 - Use Excel to find each probability. a. P(80 X 10)...Ch. 7.4 - The weight of a small Starbucks coffee is a normal...Ch. 7.4 - A study found that the mean waiting time to see a...Ch. 7.4 - High-strength concrete is supposed to have a...Ch. 7.5 - The default rate on government-guaranteed student...Ch. 7.5 - In a certain store, there is a .03 probability...Ch. 7.5 - The probability is .90 that a vending machine in...Ch. 7.5 - When confronted with an in-flight medical...Ch. 7.5 - On average, 28 patients per hour arrive in the...Ch. 7.5 - For a large Internet service provider (ISP), web...Ch. 7.6 - In Santa Theresa, false alarms are received at the...Ch. 7.6 - Between 11 p.m. and midnight on Thursday night,...Ch. 7.6 - A passenger metal detector at Chicagos Midway...Ch. 7.6 - The Johnson family uses a propane gas grill for...Ch. 7.6 - At a certain Noodles Company restaurant,...Ch. 7.6 - The time it takes a ski patroller to respond to an...Ch. 7.6 - Between 11 p.m. and midnight on Thursday night,...Ch. 7.6 - The shoplifting sensor at a certain Best Buy exit...Ch. 7.6 - Between 2 a.m. and 4 a.m. at an all-night pizza...Ch. 7.6 - The mean life of a certain computer hard disk in...Ch. 7.7 - Suppose that the distribution of order sizes (in...Ch. 7.7 - Suppose that the distribution of oil prices (/bbl)...Ch. 7 - (a) Why does a point have zero probability in a...Ch. 7 - Define (a) parameter, (b) PDF, and (c) CDF.Ch. 7 - For the uniform distribution: (a) tell how many...Ch. 7 - For the normal distribution: (a) tell how many...Ch. 7 - Prob. 5CRCh. 7 - (a) What is the transformation to standardize a...Ch. 7 - (a) Explain the difference between Appendix C-1...Ch. 7 - Write an example of each of the four normal...Ch. 7 - Prob. 9CRCh. 7 - For the exponential distribution: (a) tell how...Ch. 7 - Prob. 11CRCh. 7 - For the triangular distribution: (a) tell how many...Ch. 7 - Which of the following is a continuous random...Ch. 7 - Which of the following could be probability...Ch. 7 - Applicants for a night caretaker position arc...Ch. 7 - Passengers using New Yorks MetroCard system must...Ch. 7 - Discuss why you would or would not expect each of...Ch. 7 - Why might the following not be normally...Ch. 7 - Scores on a certain accounting exam were normally...Ch. 7 - Chlorine concentration in a municipal water supply...Ch. 7 - The weekly demand for Baked Lays potato chips at a...Ch. 7 - The weekly demand for Papa Chubbys pizzas on a...Ch. 7 - The amounts spent by customers at a Noodles ...Ch. 7 - The length of a Colorado brook trout is normally...Ch. 7 - The caffeine content of a cup of home-brewed...Ch. 7 - The fracture strength of a certain type of...Ch. 7 - Tire pressure monitoring systems (TPMS) warn the...Ch. 7 - In a certain microwave oven on the high power...Ch. 7 - Procyon Manufacturing produces tennis balls. Their...Ch. 7 - Shower temperature at the Oxnard Health Club...Ch. 7 - Tests show that, on average, the Li-ion Hitachi...Ch. 7 - The time it takes to give a man a shampoo and...Ch. 7 - The length of a time-out during a televised...Ch. 7 - If the weight (in grams) of cereal in a box of...Ch. 7 - Demand for residential electricity at 6:00 p.m. on...Ch. 7 - Jims systolic blood pressure is a random variable...Ch. 7 - A statistics exam was given. Calculate the...Ch. 7 - Are the following statements true or false?...Ch. 7 - John can take either of two routes (A or B) to LAX...Ch. 7 - The amount of fill in a half-liter (500 ml) soft...Ch. 7 - The length of a certain kind of Colorado brook...Ch. 7 - Times for a surgical procedure are normally...Ch. 7 - Prob. 95CECh. 7 - Among live deliveries, the probability of a twin...Ch. 7 - Nationwide, the probability that a rental car is...Ch. 7 - The probability of being in a car accident when...Ch. 7 - A multiple-choice exam has 100 questions. Each...Ch. 7 - The probability that a certain kind of flower seed...Ch. 7 - Prob. 101CECh. 7 - Prob. 102CECh. 7 - Prob. 103CECh. 7 - Automobile warranty claims for engine mount...Ch. 7 - Prob. 105CECh. 7 - Prob. 106CECh. 7 - The price (dollars per 1,000 board feet) of...Ch. 7 - Prob. 108CECh. 7 - Prob. 109CECh. 7 - (a) Write an Excel formula to generate a random...Ch. 7 - (a) Write an Excel formula to generate a random...Ch. 7 - On a police sergeants examination, the historical...Ch. 7 - Which type of probability (empirical, classical,...Ch. 7 - For the following contingency table, find (a) P(H ...Ch. 7 - If P(A) = .30, P(B) = .70, and P(A B) = .25, are...Ch. 7 - Prob. 4ERQCh. 7 - Which statement is true? Why not the others? a....Ch. 7 - Prob. 6ERQCh. 7 - Assuming independent arrivals with a mean of 2.5...Ch. 7 - If a random experiment whose success probability...Ch. 7 - In a random experiment with 50 independent trials...Ch. 7 - Prob. 10ERQCh. 7 - Prob. 11ERQCh. 7 - Prob. 12ERQCh. 7 - Prob. 13ERQCh. 7 - Prob. 14ERQCh. 7 - Prob. 15ERQCh. 7 - Prob. 16ERQCh. 7 - If arrivals follow a Poisson distribution with...Ch. 7 - In the previous problem, find (a) the 95th...Ch. 7 - Which statement is correct concerning the normal...Ch. 7 - Prob. 20ERQ
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- Client 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_forwardIn order to find probability, you can use this formula in Microsoft Excel: The best way to understand and solve these problems is by first drawing a bell curve and marking key points such as x, the mean, and the areas of interest. Once marked on the bell curve, figure out what calculations are needed to find the area of interest. =NORM.DIST(x, Mean, Standard Dev., TRUE). When the question mentions “greater than” you may have to subtract your answer from 1. When the question mentions “between (two values)”, you need to do separate calculation for both values and then subtract their results to get the answer. 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…arrow_forwardIf 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 creating a chart. Clearly mark the range, identifying the lower and upper…arrow_forward
- Problem 1: The mean hourly pay of an American Airlines flight attendant is normally distributed with a mean of 40 per hour and a standard deviation of 3.00 per hour. What is the probability that the hourly pay of a randomly selected flight attendant is: Between the mean and $45 per hour? More than $45 per hour? Less than $32 per hour? Problem 2: The mean of a normal probability distribution is 400 pounds. The standard deviation is 10 pounds. What is the area between 415 pounds and the mean of 400 pounds? What is the area between the mean and 395 pounds? What is the probability of randomly selecting a value less than 395 pounds? Problem 3: In New York State, the mean salary for high school teachers in 2022 was 81,410 with a standard deviation of 9,500. Only Alaska’s mean salary was higher. Assume New York’s state salaries follow a normal distribution. What percent of New York State high school teachers earn between 70,000 and 75,000? What percent of New York State high school…arrow_forwardPls help asaparrow_forwardSolve the following LP problem using the Extreme Point Theorem: Subject to: Maximize Z-6+4y 2+y≤8 2x + y ≤10 2,y20 Solve it using the graphical method. Guidelines for preparation for the teacher's questions: Understand the basics of Linear Programming (LP) 1. Know how to formulate an LP model. 2. Be able to identify decision variables, objective functions, and constraints. Be comfortable with graphical solutions 3. Know how to plot feasible regions and find extreme points. 4. Understand how constraints affect the solution space. Understand the Extreme Point Theorem 5. Know why solutions always occur at extreme points. 6. Be able to explain how optimization changes with different constraints. Think about real-world implications 7. Consider how removing or modifying constraints affects the solution. 8. Be prepared to explain why LP problems are used in business, economics, and operations research.arrow_forward
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- Let Y₁, Y2,, Yy be random variables from an Exponential distribution with unknown mean 0. Let Ô be the maximum likelihood estimates for 0. The probability density function of y; is given by P(Yi; 0) = 0, yi≥ 0. The maximum likelihood estimate is given as follows: Select one: = n Σ19 1 Σ19 n-1 Σ19: n² Σ1arrow_forwardPlease could you help me answer parts d and e. Thanksarrow_forwardWhen fitting the model E[Y] = Bo+B1x1,i + B2x2; to a set of n = 25 observations, the following results were obtained using the general linear model notation: and 25 219 10232 551 XTX = 219 10232 3055 133899 133899 6725688, XTY 7361 337051 (XX)-- 0.1132 -0.0044 -0.00008 -0.0044 0.0027 -0.00004 -0.00008 -0.00004 0.00000129, Construct a multiple linear regression model Yin terms of the explanatory variables 1,i, x2,i- a) What is the value of the least squares estimate of the regression coefficient for 1,+? Give your answer correct to 3 decimal places. B1 b) Given that SSR = 5550, and SST=5784. Calculate the value of the MSg correct to 2 decimal places. c) What is the F statistics for this model correct to 2 decimal places?arrow_forward
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