In order to determine whether or not there is a significant difference between the hourly wages of two companies(H₁: μ₁ −μ₂ = 0 vs. Ha: µ₁−µ₂‡0), the following data have been accumulated.Company ACompany BSample size8060Sample mean$16.75$16.45Population standard$1.2$0.9deviation(B) At the 5% level of significance, the null hypothesis should be rejected(A) The p-value is 0.0455(C) The test statistic is 1.69(D) The p-value is 0.091

Answered: Image /qna-images/answer/7826c851-b2f3-47ed-a35d-d9a5f73bb737.jpg

Answered: In order to determine whether or not…

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

Given below are the analysis of variance (ANOVA) results from a Minitab display. Assume that you want to use a 0.01 significance level in testing the null hypothesis that the samples come from populations with the same mean. Source DF SS MS F P-val Factor 2. 2280.0 1140.0 7.9 5.39E–04 Error 144 20691.7 143.7 Total 146 22971.8 What can you conclude about the equality of the population means? (circle one) Reject H0 since the p-value is greater than the significance level. Fail to reject H0 since the p-value is greater than the significance level. Reject H0 since the p-value is less than the significance level. Fail to reject H0 since the p-value is less than the significance level.
A random sample of 89 tourists in British Columbia showed that they spent an average of $2860 (in a week) with an assumed population standard deviation of $126; and a sample of 64 tourists in Alberta showed that they spent an average of $2935 (in a week) with an assumed population standard deviation of $138. We are interested in determining if there is any significant difference between the average expenditures of all the tourists who visited the two provinces.a. At a significance level of 0.05, are the two average expenditures significantly different? b. Calculate the 99% confidence interval and interpret your results?
Consider the following statistics in the mid-season of Spanish La Liga. mean ball possession number of observations sample variance Real Madrid 0.70 14 0.2 Barcelona 0.80 12 0.7 Find a 90% per cent confidence interval between the mean ball possession between Real Madrid and Barcelona. Are they statistically different?
Q.1.1 Consumer testing services compared public opinion on gas ovens and electric ovens. They asked participants to rate their opinions using a scale from 1 to 10. A random sample of 220 households were interviewed. The descriptive statistics are as follows: MeanStandard deviation Sample size respectively Gas Ovens mean7.45 standars deviation3.32 sample size220 Electric Ovens mean8.85 standard deviation4.14 sample size220 Q.1.1.1 Calculate the standard deviation of the difference between the mean opinion scores of gas ovens and electric ovens. Q.1.1.2 The analyst concluded that there was 50% probability that the sample mean of opinion scores of gas ovens is smaller than that of electric ovens. He used z-transformations and got z = -3.9. Calculate the z value using information in the table to check if the value of -3.9 used by the analyst was correct.
B. The department of labor in a state wanted to find the compensation of hotel employees. A random sample of 20 cleaning persons produced the mean hourly earnings of $10.60 with a standard deviation of $1.05. A random sample of 25 bellhops gave the mean hourly earnings of $11.20 with a standard deviation of $1.30. Assume that the hourly earnings of both groups are normally distributed with equal but unknown population variances. Using the 5% significance level, can you conclude that the mean hourly earnings of both groups are not the same in this state?
Managers of an industrial plant want to determine which of two types of fuel, gas or electric, is more cost efficient (measured in cost per unit of energy). Independent random samples were taken of plants using electricity and plants using gas. These samples consisted of 10 plants using electricity, which had a mean cost per unit of $53.50 and standard deviation of $8.19 , and 11 plants using gas, which had a mean of $55.40 and standard deviation of $8.23 . Assume that the populations of costs per unit are normally distributed for each type of fuel, and assume that the variances of these populations are equal. Construct a 95% confidence interval for the difference −μ1μ2 between the mean cost per unit for plants using electricity, μ1 , and the mean cost per unit for plants using gas, μ2 . Then find the lower limit and upper limit of the 95% confidence interval. Carry your intermediate computations to at least three decimal places. Round your responses to at least…
Question 4a A research organization wishes to determine whether the driving range of different electric cars on a full charge are equal. The number of mileage for each car is given below. Lucid Air Tesla Model S Ford Mustang Mach-E Mean mileage 387 305 520 20 30 Sample variance Sample Size 24 4 4 Use the above data and test to see if the mean mileage for all three brands of electric cars is the same. Let a = .05. Complete the ANOVA table and show the details of calculation to get full credits. a) State the null and alternative hypotheses to be tested.
Question 16: Please use the approporate stats table attached. Do not use a software for this problem.a. What was the observed difference between the mean PCV levels for the two groups? b.Assuming that the two groups have similar variances, estimate the standard error of the difference between the sample means c. Conduct an appropriate test to assess the difference between the two means. What do you conclude?
In order to determine whether or not there is a significant difference between the mean hourly wages paid by two companies (of the same industry), the following data have been accumulated. Company A Company B Sample size 70 55 Sample mean $15.75 $15.25 Sample standard deviation $1.00 $0.95 The p-value is 0.0052. At the 5% level of significance, the null hypothesis O should be revised. O should not be tested. O should be rejected. should not be rejected. O O
Independent random samples from two neighboring cities revealed the following information concerning the average amount of money spent on single family home utility bills during July. Assume normal populations using a .05 level of significance. City B 25 families City A Sample Size Average Bill Sample Standard Deviation 25 families $260 $20 $250 $23 We want to test if there is a difference in the amount the families in the two cities spend on utilities. Н: На: Pooled variance = What decision should be made?
The number of days between the receipt of a customer complaint and the resolution of the complaint, for a carpet installation company was collected. This data was used to generate the following boxplot and summary data. Days Mean 43.0 5 Number Summary Standard Error 5.9 Minimum 1 Median 28.5 Q1 15.25 Mode 5.0 Median 28.5 Standard Deviation 41.9 Q3 53.5 Sample Variance 1757.8 Maximum 165 Kurtosis 1.3 Skewness 1.5 Range 164.0 Minimum 1.0 Maximum 165.0 Sum 2152.0 Count 50.0 (a) Interpret the measures of central tendency. (b) Interpret the measures of variability. (c) Describe the shape of the data. (d) What can you conclude about how long a customer should expect to wait to have a complaint resolved?
Water usage is closely watched in many parts of Australia. Suppose that in a summer the average household usage in Hobart is 408 litres per day. A year later it examines records of a sample of 50 households and finds that there is a daily mean usage of 380 litres with a standard deviation of 25 litres. a.Do you think the average daily water usage has been changed in the second summer? Use the 5% level of significance level for hypothesis testing. b.Because of the draught situation in Australia, after the first summer, the price of water in Hobart was increased to encourage households to reduce their water consumption. How do you evaluate the effect of increasing water prices? Use the 5% level of significance level for hypothesis testing.

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS