Please use this information to answer the next questions An investigation was launched to address the...
A movie theater company wants to see if there is a difference in the average price of movie tickets in Memphis and Minneapolis. They sample 25 ticket stubs from Memphis and 20 from Minneapolis. Test the claim using a 10% level of significance. Assume the population variances are unequal and that movie ticket prices are normally distributed. Give answer to at least 4 decimal places. Minneapolis Memphis 8 9 10 12 9 13 10 11 10 10 10 11 9...
Suppose you want to determine whether there is a significant difference in mean test scores for females and males. The test is out of 600 points. Using the following hypotheses: Ho: U1 - U2 = 0 HA: U1 - U2 (not equal) 0 And alpha of 0.05 you obtain the following results t-test Two-sample assuming unequal variances Females Males Mean 525 487 Variance 3530.8 2677.818182 Observations 16 12 Hypothesized Mean Difference 0 df 25 t stat 1.803753 P (T<=t) one...
F-Test Two-Sample for Variances Subject ID Height Mean 9.9 68.85 Variance 39.04210526 35.0815789 Observations 20 20 df 19 19 F 1.112894757 P(F<=f) one-tail 0.40903666 F Critical one-tail 2.168251601 Based on your results: If your f-value is < critical value, choose t-test assuming equal variances If your f-value is > critical value, choose t-test assuming unequal variances
Please help me, I wasn't sure which test to use so I did both of them on excel. Please let me know which is correct and answer A-C. I will give the answer a thumbs up if you can get back to me asap. The physicians also believe that people who are obese are more likely to die earlier than those who are not. Again use the data in the Framingham sample to test this theory by comparing the mean...
How do I write the results of this t-test out in a statsically way ? $120,000 $75,000 t-Test: Two-Sample Assuming Unequal Variances Mean College Degree 131233.3333 1795633333 30 High School Degree (Only) 60966.66667 582171264.4 Variance Observations Hypothesized Mean Difference df 46 t Stat P(T<=t) one-tail t Critical one-tail PIT<=t) two-tail t Critical two-tail 7.892632799 2.1299E-10 1.678660414 4.2598E-10 2.012895599
13. To see if studying with Mozart music changes (or makes a difference for) math scores, a psychologist recruited 16 individuals of equal math ability. Eight were randomly selected for the "study with Mozart" group and the other eight were assigned to the "study without Mozart" group. The data are test scores. An Excel analysis of the data is shown below. t-Test: Two-Sample Assuming Unequal Variances a. 4 pts. Which type of alternative hypothesis is more appropriate for the research...
CAN YOU PLEASE FIX MY LAST TWO SENTENCES WITH THIS INFORMATION? You note in your report both the t critical for a one tailed and a two tailed test. Identify whether you need to use a one tailed or a two tailed test for the test statistic and t critical. Then only compare the test statistic with that critical value. Otherwise when you mention both, it looks like you don't know which one to use. t-Test: Two-Sample Assuming Unequal Variances...
Stress between males and females *Note: alpha = .001 1 t-Test: Two-Sample Assuming Unequal Variances Female Male 4 Mean 5 Variance 6 Observations 7 Hypothesized Mean Difference 3.655737705 3.52857143 1.296174863 1.12236025 70 61 8 df 9 t Stat 10 P(T-t) one-tail 11 t Critical one-tail 12 P(T<-t) two-tail 13 t Critical two-tail 124 0.658596658 0.255687918 3.157259054 0.511375836 3.370720124 Student Survey Data (2 Sample t-test) 1. Test Decision & Basis 2. Interpretation of Test Decision:
A researcher wanted to see if students will learn more effectively with a constant background sound, as opposed to an unpredictable sound or no sound at all. She randomly divides twenty-four students into three groups of eight. All students study a passage of text for 30 minutes. Those in group 1 study with background sound at a constant volume in the background. Those in group 2 study with noise that changes volume periodically. Those in group 3 study with no...
The amount of time required to reach a customer service representative has a huge impact on customer satisfaction. Below is the Excel output from a study to see whether there is evidence of a difference in the mean amounts of time required to reach a customer service representative between two hotels. Assume that the population variances in the amount of time for the two hotels are not equal. t-Test: Two-sample assuming Unequal Variances Hotel 1 Hotel 2 Mean 2.95 2.01...