Given the paired data (10,7), (4,6),(8,4), (4,5), (9,4), (5,5), (1,3). We want to rest the claim that the paired sample data come from a population for which the mean difference is zero. Compute the value of the t test statistic, expressed to 3 decimal places. Which would be correct 2.9444, 0.899,0.415,1.292,0.578, 0.751, 2.890, or none?

Given the paired data (10,7), (4,6),(8,4), (4,5), (9,4), (5,5), (1,3). We want to rest the claim that the paired sample data come from a population for which the mean difference is zero. Compute the value of the t test statistic, expressed to 3 decimal places. Which would be correct 2.9444, 0.899,0.415,1.292,0.578, 0.751, 2.890, or none?

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

Please read the passage on Random Distribution for Arsenic of Chicken first and then answer the question carefully to get the correct answer.
There are two samples with means 15 and 17. Both of those samples consist of 24 observations. Sample variances are equal to 4 in both cases. If you want to test whether the difference between the mean in the first and the mean in the second population is equal to 0, what is your decision at the .01 level? EMAN
The true population mean is 4. Sample A has the following values: 3, 4, 4, 5. Sample B has the following values: 0, 4, 4, 8. Compared to Sample B, Sample A is more unbiased O stabile biased unstabile
What conditions are necessary in order to use the dependent samples t-test for the mean of the difference of two populations?
What is the best point estimate for the population's variance if the sample variance is 41?
A union of restaurant and foodservice workers would like to estimate the mean hourly wage, u, of foodservice workers in the U.S. this year The mean hourly wage last year was $8.08, and there is good reason to believe that this year's value is different from last year's. The union decides to do a statistical test to see if the value has indeed changed. The union chooses a random sample of this year's wages, computes the mean of the sample to be $7.78, and computes the standard deviation of the sample to be $1.20. Based on this information, complete the parts below. (a) What are the null hypothesis H. and the alternative hypothesis H₁ that should be used for the test? H₂ : O H₁ :0 (b) Suppose that the union decides not to reject the null hypothesis. What sort of error might it be making? (Choose one) ▼ (c) Suppose the true mean hourly wage for foodservice workers in the U.S. this year is $8.08. Fill in the blanks to describe a Type I error. A Type I error would be (Choose one) when, in…
we look at a random sample of 1000 united flights in the month of December comparing the actual arrival time to the scheduled arrive time. computer output of the descriptive statistics for the difference in actual and expected arrival time of these 1000 flights are shown below : N=1000 Mean =4.06 St Dev. = 45.4 SE Mean =1.44 Min= -35 Q1 = -14 Median = -5 Q3 =9 Max =871 what is the sample mean difference in actual and expected arrival times? what is the standard deviation of the difference ? x bar = and s= ?
A sample of n = 10 has s = 3. What are the correct values for S.S. and s2? SS=44;sampleS.D.=3 SS = 81; sample variance = 9 SS = 30; sample variance = 4 SS=27;sampleS.D.=2
A set of n = 10 pairs of scores has ∑X = 20. ∑Y = 30 and ∑XY = 74. What is the value of SP forthese data
If all other factors are held constant, increasing the sample size from n = 25 to n = 100 will increase the power of a statistical test. True False
we look at a random sample of 1000 united flights in the month of December comparing the actual arrival time to the scheduled arrive time. computer output of the descriptive statistics for the difference in actual and expected arrival time of these 1000 flights are shown below : N=1000 Mean =4.06 St Dev. = 45.4 SE Mean =1.44 Min= -35 Q1 = -14 Median = -5 Q3 =9 Max =871 what is the sample mean difference in actual and expected arrival times? what is the standard deviation of the difference ? x bar = and s= ? based on the computer output is it safe to assume this sample is normally distributed? can we proceed using the t- distribution to build a confidence interval for this mean ? use the summary statistics to compute a 95% confidence interval for the average difference in actual and scheduled arrival times on united flights in december? round to two decimal places. interpret the confidence interval you found in context. round to two decimal places.
If the sample size is 30 and the mean score for group one is 5.6, mean score for group two Is 7.8, and mean score for group three is 4.8, what I the ss between of this study