Stress between males and females
*Note: alpha = .001
Given that,
mean(x)=3.655
standard deviation , s.d1=1.1384
number(n1)=61
y(mean)=3.5285
standard deviation, s.d2 =1.059
number(n2)=70
null, Ho: u1 = u2
alternate, H1: u1 != u2
level of significance, α = 0.001
from standard normal table, two tailed t α/2 =3.46
since our test is two-tailed
reject Ho, if to < -3.46 OR if to > 3.46
we use test statistic (t) = (x-y)/sqrt(s.d1^2/n1)+(s.d2^2/n2)
to =3.655-3.5285/sqrt((1.29595/61)+(1.12148/70))
to =0.655
| to | =0.655
critical value
the value of |t α| with min (n1-1, n2-1) i.e 60 d.f is 3.46
we got |to| = 0.65529 & | t α | = 3.46
make decision
hence value of |to | < | t α | and here we do not reject
Ho
p-value: two tailed ( double the one tail ) - Ha : ( p != 0.6553 )
= 0.515
hence value of p 0.001 < 0.515,here we do not reject Ho
ANSWERS
---------------
1.
null, Ho: u1 = u2
alternate, H1: u1 != u2
test statistic: 0.655
critical value: -3.46 , 3.46
2.
decision: do not reject Ho
p-value: 0.515
we do not have enough evidence to support the claim that difference
between males and females.
Stress between males and females *Note: alpha = .001 1 t-Test: Two-Sample Assuming Unequal Variances Female...
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...
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...
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
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...
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
1. ANOVA is a statistical method for verifying the equality between some sample means b. a. some sample standard deviations c. some population standard deviations d some population means Salary information regarding male and female employees of a large company is shown below Sample Size Male (Pop. 1) Female (Pop. 2) 49 47 Sample Mean Salary (in $1,000) , Population Variance 2. The point estimate of the difference μ-μ, between the two population means is Y 7-44-3.0 3. The margin...
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...
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...
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...