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 tail 0.041667
t critical one tail 1.708141
P (T<=t) two-tail 0.083335
t critical tow tail 2.059539
What is the best answer:
A - Do not reject the null hypotheses
B - Reject both the null and alternative hypotheses
C - Reject the hypotheses
D - We do not have enough information to make a decision
Answer
Given that
Ho: U1 - U2 = 0
HA: U1 - U2 (not equal) 0
And alpha of 0.05
Using the result given, we get p value
P (T<=t) two-tail 0.083335
we can see that the p value is greater than the significance level of 0.05, i.e. 0.0833 > 0.05
Result is insignificant, so we do not reject the null hypothesis.
option A is correct
A - Do not reject the null hypotheses
Suppose you want to determine whether there is a significant difference in mean test scores for...
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:
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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...
Question number 11 A physician want to see if there was a difference in the average smokers' daily cigarette consumption after wearing a nicotine patch. The physician sets up a study to track daily smoking consumption. They give the patients a placebo patch that did not contain nicotine for 4 weeks, then a nicotine patch for the following 4 weeks. Test to see if there was a difference in the average smoker's daily cigarette consumption using a = 0.01. The...
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
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...
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...
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...
IS THE T-TEST CORRECT FOR THIS DATA? IS THERE A SIGNIFICANT
DIFFERENCE?
C А в 1 College Degree High School Degree (Only) $120,000 $54,000 $150,000 $35,000 $90,000 $38,000 $115,000 $72,000 $180,000 $28,000 $210,000 $32,000 $125,000 $66,000 $125,000 $68,000 $92,000 $34,000 $130,000 $45,000 $115,000 $72,000 $215,000 $100,000 $100,000 $36,000 $125,000 $82,000 $140,000 $75,000 $85,000 $40,000 $200,000 $30,000 $95,000 $100,000 $115,000 $75,000 $150,000 $50,000 $150,000 $80,000 $95,000 $50,000 $120,000 $32,000 $150,000 $80,000 $100,000 $75,000 $80,000 $65,000 $250,000 $80,000 $100,000 $40,000 $95,000 $120,000...
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...