Each of the nurses took the blood pressure of each of the patients and then the results were compared.
Below is the analysis of each researcher.
a) Sets the null and alternating hypothesis to be tested in this
case
b) Determines which conclusion each researcher should reach,
according to its analysis. Explain
c) Which of the researchers performed the correct analysis
Each of the nurses took the blood pressure of each of the patients and then the...
t-Test: Two-Sample Assuming Equal Variances Variable 1 Variable 2 Mean 12.89795918 17.66666667 Variance 161.2185374 567.8266667 Observations 49 51 Pooled Variance 368.6716646 Hypothesized Mean Difference 0 Df 98 t Stat -1.241549191 P(T<=t) one-tail 0.108683158 t Critical one-tail 1.660551217 P(T<=t) two-tail 0.217366316 t Critical two-tail 1.984467455 Is there a significant difference between the two sample means? If you answer, “yes,” what is your reasoning? If you answer, “no,” what is your reasoning? Please state the conclusion, or your interpretation of the results in terms...
t-test: two-sample assuming equal variances Subject ID Height Mean 9.9 68.85 Variance 39.0421053 35.0815789 Observations 20 20 Pooled Variance 37.0618421 Hypothesized Mean Difference 0 df 38 t Stat -30.621066 P(T<=t) one-tail 1.0856E-28 t Critical one-tail 1.68595446 P(T<=t) two-tail 2.1711E-28 t Critical two-tail 2.02439416 From your results, please report the following: Variable 1 Mean: Variable 2 Mean: Two-tailed p-value: Is your p-value significant? (alpha=0.05) If your results are significant/not significant, what can you conclude from your data? (i.e. is there a...
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...
A professor in the Business department wants to know if there is a significant difference in the performance on the first exam between two different classes. One class meets in the morning while the other meets at night. The results of this test are listed below along with an excel analysis conducted at the 5% significance level (α=0.05). t-Test: Two-Sample Assuming Equal Variances 8 am Class 7 pm Class Sample Mean 80.471 76.846 Sample Variance 97.51 162.14 Sample Observations 17...
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...
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:
20) A researcher wishes to determine whether people with high blood pressure can reduce their blood pressure by following a particular diet. Use the sample data below to test the claim that the treatment population , is larger than the control population wz. Test the claim using a significance level of a = 0.01. The population variances are equal. Control Group Treatment Group ng = 79 n = 85 X = 189.1 X = 178.7 S = 37.2 s, =...
Question 17 9 pts Consider a situation where we want to compare means, Mi and M2 of two populations, Group 1 and Group 2, respectively. A random sample of 40 observations was selected from each of the two populations. The following table shows the two-sample t test results at a = 5% assuming equal population variances: t-Test: Two-Sample Assuming Equal Variances Group 2 28.652 33.460 40 Mean Variance Observations Pooled Variance Hypothesized Mean Difference df t Stat P(T<=t) one-tail t...
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
e. Using Data Analysis in Excel, you obtain the following table. Make a conclusion. Your conclusion should have two parts. 1) Do you reject or fail to reject the null hypothesis based on your decision rule? 2) Answer the question (Is there a difference in the average number of patients being seen in the emergency room between 2015 and 2016?) based on your decision. t-Test: Two-Sample Assuming Unequal Variances 2016 2015 Mean 5693.75 5155.583333 Variance 59352.205 63610.44697 Observations 12 12...