The management of a department store is interested in estimating the difference between the mean credit purchases of customers using the store's credit card versus those customers using a national major credit card. You are given thefollowing information.Store's CardMajor Credit CardSample size6449Sample mean$170$140Population standard deviation$8$6Find the margin of error at 95% confidence.O 0.50O 1.32O 1.73O 2.58

The level of significance is 0.05 (=1-0.95).

The management of a department store is interested in estimating the difference between the mean credit purchases of customers using the store's credit card versus those customers using a national major credit card. You are following information. Store's Card Major Credit Card Sample size 64 49 Sample mean $170 $140 Population standard deviation $8 $6 Find the margin of error at 95% confidence. O 0.50

The management of a department store is interested in estimating the difference between the mean credit purchases of customers using the store's credit card versus those customers using a national major credit card. You are following information. Store's Card Major Credit Card Sample size 64 49 Sample mean $170 $140 Population standard deviation $8 $6 Find the margin of error at 95% confidence. O 0.50

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

Interpret results in the context of problem.
A team of ten (10) construction workers who are working on a project are classified according to the skill levels, Classes A to D. The table below shows the number of workers in each of the four (4) classes and their respective hourly pay-rate. Pay-rate (Rands/hour) Number of workers Class A 80 Class B 60 Class C 55 Class D 50 4. Calculate the mean hourly pay-rate for the 10 workers. A. R24.50/hour B. R57/hour C. R57.50/hour D. R61.75/hour
You work for a consumer watchdog publication and are testing the advertising claims of a tire manufacturer. The manufacturer claims that the life spans of the tires are normally distributed, with a mean of 40,000 miles and a standard deviation of 5500 miles. You test 16 tires and get the following life spans. Complete parts (a) through (c) below. 48,945 42,213 24,051 36,117 32,209 41,001 42,888 37,719 D 23,231 29,347 34,274 36,641 30,122 36,334 33,621 44,904 (a) Draw a frequency histogram to display these data. Use five classes. Choose the correct answer below. OB. Life spans of tires Oc. Life spans of tires Life spans of tires 25 Distance (in miles) 4 Distance (in miles) Distance (in miles) Is it reasonable to assume that the life spans are normally distributed? Why? Choose the correct answer below. O A No, because the histogram is neither symmetric nor bell-shaped. O B. Yes, because the histogram is neither symmetric nor bell-shaped. c. Yes, because the histogram is symmetric and…
You have following observations -1.5, 2.6, 1.2, -2.1, 0.1, 0.9. Find a sample mean, a sample variance, construct an empirical distribution function.
You work for a soft-drink company in the quality control division. You are interested in the variance of one of your production lines as a measure of consistency. The product is intended to have a mean of 12 ounces, and your team would like the variance to be as low as possible. You gather a random sample of 16 containers. Estimate the population variance at a 80% level of confidence. 11.82 11.83 11.85 11.89 11.9 11.97 12 12 12 12.01 12.02 12.04 12.05 12.11 12.16 12.18 Variance of Data: 0.012 Note: Round all values to 3 decimals and use those rounded values in subsequent calculations. a) Find the lower and upper x critical values at 80% confidence: Lower: Upper: b) Report your confidence interval for o?: Lower Bound: Upper Bound:
A credit score is a numerical value between 300 and 850 that measures a person's creditworthiness. Summary statistics and graphical display of credit scores for randomly selected 40 - 59 years old individuals from Texas, Pennsylvania, California, and Florida are shown below. Does average credit score differ by state? Statistics TX PA CA FL FL Sample Size 36 36 36 36 CA Mean 671.7 730.3 710.1 704.8 PA Standard Deviation 42.7 45.6 33.4 38.1 TX 550 600 650 . 1. The above charts show that on average, for this sample, credit scores in ...... 700 750 800 TX PA CA FL (choose one) tend to be lowest, and credit scores in TX PA CA FL (choose one) tend to be highest. 2. Formulate the appropriate hypotheses: Ho: Average credit score differs does not differ (choose one) by state. Ha: Average credit score differs does not differ (choose one) by state. 3. The distributions of the credit scores show quite a bit of variability. Should we be concerned when applying the ANOVA procedure? Why or why not?…
What is the comple solution and answer for this problem involving ANOVA?
Based on the data below, answer the following question: What is the mean of Local Tuition (keep 1 decimal place)? What is the mean of Foreign Tuition? (Keep 1 decimal place.) What is the sample standard deviations of the variable Local Tuition? Business School Full-Time Enrollment Students per Faculty Local Tuition ($) Foreign Tuitiion ($) English Test Work Experience Starting Salary ($) 1 Melbourne Business School 200 5 24,420 29,600 No Yes 71,400 2 University of New South Wales (Sydney) 228 4 19,993 32,582 No Yes 65,200 3 Indian Institute of Management (Ahmedabad) 392 5 4,300 4,300 No No 7,100 4 Chinese University of Hong Kong 90 5 11,140 11,140 No No 31,000 5 International University of Japan (Niigata) 126 4 33,060 33,060 Yes No 87,000 6 Asian Institute of Management (Manila) 389 5 7,562 9,000 No Yes 22,800 7 Indian Institute of Management (Bangalore) 380 5 3,935 16,000 No No 7,500 8 National University of Singapore 147 6 6,146 7,170 Yes Yes 43,300 9…
You work for a consumer watchdog publication and are testing the advertising claims of a tire manufacturer. The manufacturer claims that the life spans of the tires are normally distributed, with a mean of 40,000 miles and a standard deviation of 4500 miles. You test 16 tires and get the following life spans. Complete parts (a) through (c) below. 48,250, 43,242, 27,538, 38,187, 30,583, 40,298, 40,623, 35,366, 24,131, 33,680, 38,592, 36,796, 32,216, 37,370, 36,319, 47,459 Draw a frequency histogram to display these data. Use five classes. Then choose the from a, b, or c, for the correct answer below.
Consider the following data: −10, −10, 0, 3, −10, 3, 3 Step 1 of 3: Calculate the value of the sample Variance. Round your answer to one decimal place. Step 2 of 3: Calculate the value of the sample deviation. Round your answer to one decimal place. Step 3 of 3: Calculate the value of the range.
You work for a consumer watchdog publication and are testing the advertising claims of a tire manufacturer. The manufacturer claims that the life spans of the tires are normally distributed, with a mean of 40,000 miles and a standard deviation of 6500 miles. You test 16 tires and get the following life spans. Complete parts (a) through (c) below. 47,493 39,585 28,756 36,034 30,952 38,287 42,718 34,078 D 24,464 29,573 37,049 36,753 32,401 36,752 34,850 44,188 (a) Draw a frequency histogram to display these data. Use five classes. Choose the correct answer below. OA. OB. Oc. Life spans of tires Life spans of tires. Life spans of tires 45,15 26, 451905 26,75 45,1905 Distance (in miles) Distance (in miles) Distance (in miles) Is it reasonable to assume that the life spans are normally distributed? Why? Choose the correct answer below. O A. No, because the histogram is symmetric and bell-shaped. O B. Yes, because the histogram is neither symmetric nor bell-shaped. O C. Yes, because the…
The ages of undergraduate students at two universities (one in the east and one in the west) are being compared. Researchers want to know if there is a difference in the mean age of students at the two universities. The population standard deviations are known. The following data shows the results of samples collected at each institution: School Location n (sample size) sample mean ( ) population standard deviation West 33 25.78 6.29 East 35 23.16 7.52 What is the value of the test statistic for the previous problem? (Enter your answer as a positive value even if you calculated a negative test statistic value i.e. if you calculated -1.311 you should enter 1.311). Round your answer to 3 decimal places.