Question

Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel....

Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel. (a-1) Comparison of GPA for randomly chosen college juniors and seniors: x⎯⎯1 = 4, s1 = .20, n1 = 15, x⎯⎯2 = 4.25, s2 = .30, n2 = 15, α = .025, left-tailed test. (Negative values should be indicated by a minus sign. Round down your d.f. answer to the nearest whole number and other answers to 4 decimal places. Do not use "quick" rules for degrees of freedom.) d.f. t-calculated p-value t-critical (a-2) Based on the above data choose the correct decision. Reject the null hypothesis Do not reject the null hypothesis (b-1) Comparison of average commute miles for randomly chosen students at two community colleges: x⎯⎯1 = 17, s1 = 5, n1 = 22, x⎯⎯2 = 21, s2 = 7, n2 = 19, α = .05, two-tailed test. (Negative values should be indicated by a minus sign. Round down your d.f. answer to the nearest whole number and other answers to 4 decimal places. Do not use "quick" rules for degrees of freedom.) d.f. t-calculated p-value t-critical +/- (b-2) Based on the above data choose the correct decision. Do not reject the null hypothesis Reject the null hypothesis (c-1) Comparison of credits at time of graduation for randomly chosen accounting and economics students: x⎯⎯1 = 141, s1 = 2.8, n1 = 12, x⎯⎯2 = 138, s2 = 2.7, n2 = 17, α = .05, right-tailed test. (Negative values should be indicated by a minus sign. Round down your d.f. answer to the nearest whole number and other answers to 4 decimal places. Do not use "quick" rules for degrees of freedom.) d.f. t-calculated p-value t-critical (c-2) Based on the above data choose the correct decision. Reject the null hypothesis Do not reject the null hypothesis

0 0
Add a comment Improve this question Transcribed image text
Answer #1

a.
Given that,
mean(x)=4
standard deviation , s.d1=0.2
number(n1)=15
y(mean)=4.25
standard deviation, s.d2 =0.3
number(n2)=15
null, Ho: u1 = u2
alternate, H1: u1 < u2
level of significance, α = 0.025
from standard normal table,left tailed t α/2 =2.145
since our test is left-tailed
reject Ho, if to < -2.145
we use test statistic (t) = (x-y)/sqrt(s.d1^2/n1)+(s.d2^2/n2)
to =4-4.25/sqrt((0.04/15)+(0.09/15))
to =-2.685
| to | =2.685
critical value
the value of |t α| with min (n1-1, n2-1) i.e 14 d.f is 2.145
we got |to| = 2.68543 & | t α | = 2.145
make decision
hence value of | to | > | t α| and here we reject Ho
p-value:left tail - Ha : ( p < -2.6854 ) = 0.00888
hence value of p0.025 > 0.00888,here we reject Ho
ANSWERS
---------------
null, Ho: u1 = u2
alternate, H1: u1 < u2
test statistic: -2.685
critical value: -2.145
decision: reject Ho
p-value: 0.00888
we have enough evidence to support the claim that mean of sample 1 is less than mean of sample 2.
b.
Given that,
mean(x)=17
standard deviation , s.d1=5
number(n1)=22
y(mean)=21
standard deviation, s.d2 =7
number(n2)=19
null, Ho: u1 = u2
alternate, H1: u1 != u2
level of significance, α = 0.05
from standard normal table, two tailed t α/2 =2.101
since our test is two-tailed
reject Ho, if to < -2.101 OR if to > 2.101
we use test statistic (t) = (x-y)/sqrt(s.d1^2/n1)+(s.d2^2/n2)
to =17-21/sqrt((25/22)+(49/19))
to =-2.075
| to | =2.075
critical value
the value of |t α| with min (n1-1, n2-1) i.e 18 d.f is 2.101
we got |to| = 2.07521 & | t α | = 2.101
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 != -2.0752 ) = 0.053
hence value of p0.05 < 0.053,here we do not reject Ho
ANSWERS
---------------
null, Ho: u1 = u2
alternate, H1: u1 != u2
test statistic: -2.075
critical value: -2.101 , 2.101
decision: do not reject Ho
p-value: 0.053
we do not have enough evidence to support the claim that difference of means between two samples.
c.
Given that,
mean(x)=141
standard deviation , s.d1=2.8
number(n1)=12
y(mean)=138
standard deviation, s.d2 =2.7
number(n2)=17
null, Ho: u1 = u2
alternate, H1: u1 > u2
level of significance, α = 0.05
from standard normal table,right tailed t α/2 =1.796
since our test is right-tailed
reject Ho, if to > 1.796
we use test statistic (t) = (x-y)/sqrt(s.d1^2/n1)+(s.d2^2/n2)
to =141-138/sqrt((7.84/12)+(7.29/17))
to =2.884
| to | =2.884
critical value
the value of |t α| with min (n1-1, n2-1) i.e 11 d.f is 1.796
we got |to| = 2.88387 & | t α | = 1.796
make decision
hence value of | to | > | t α| and here we reject Ho
p-value:right tail - Ha : ( p > 2.8839 ) = 0.00743
hence value of p0.05 > 0.00743,here we reject Ho
ANSWERS
---------------
null, Ho: u1 = u2
alternate, H1: u1 > u2
test statistic: 2.884
critical value: 1.796
decision: reject Ho
p-value: 0.00743
we have enough evidence to support the claim that mean of sample 1 is greater than mean of sample 2.

Add a comment
Know the answer?
Add Answer to:
Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel....
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel....

    Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel. (a-1) Comparison of GPA for randomly chosen college juniors and seniors: x⎯⎯1x1 = 4.75, s1 = .20, n1 = 15, x⎯⎯2x2 = 5.18, s2 = .30, n2 = 15, α = .025, left-tailed test. (Negative values should be indicated by a minus sign. Round down your d.f. answer to the nearest whole number and other answers to 4 decimal places. Do not use "quick"...

  • Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel....

    Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel. (a-1) Comparison of GPA for randomly chosen college juniors and seniors: x⎯⎯1x1 = 4.75, s1 = .20, n1 = 15, x⎯⎯2x2 = 5.18, s2 = .30, n2 = 15, α = .025, left-tailed test. (Negative values should be indicated by a minus sign. Round down your d.f. answer to the nearest whole number and other answers to 4 decimal places. Do not use "quick"...

  • Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel....

    Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel. (a-1) Comparison of GPA for randomly chosen college juniors and seniors: x⎯⎯1x1 = 4.75, s1 = .20, n1 = 15, x⎯⎯2x2 = 5.18, s2 = .30, n2 = 15, α = .025, left-tailed test. (Negative values should be indicated by a minus sign. Round down your d.f. answer to the nearest whole number and other answers to 4 decimal places. Do not use "quick"...

  • Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel....

    Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel. (a-1) Comparison of GPA for randomly chosen college juniors and seniors: x⎯⎯1 = 4, s1 = .20, n1 = 15, x⎯⎯2 = 4.25, s2 = .30, n2 = 15, α = .025, left-tailed test. (Negative values should be indicated by a minus sign. Round down your d.f. answer to the nearest whole number and other answers to 4 decimal places. Do not use "quick"...

  • Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel....

    Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel. (a-1) Comparison of GPA for randomly chosen college juniors and seniors: x⎯⎯1 = 4, s1 = .20, n1 = 15, x⎯⎯2 = 4.25, s2 = .30, n2 = 15, α = .025, left-tailed test. (Negative values should be indicated by a minus sign. Round down your d.f. answer to the nearest whole number and other answers to 4 decimal places. Do not use "quick"...

  • When performing a hypothesis test for the ratio of two population variances, the upper critical F...

    When performing a hypothesis test for the ratio of two population variances, the upper critical F value is denoted FR. The lower critical F value, FL, can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting F value found in table A-5. FR can be denoted Fα/2 and FL can be denoted F1-α/2 . Find the critical values FL and FR for a two-tailed hypothesis test based on the following values: n1...

  • 1) Select the answer with the correct choices for scenarios A and B regarding the null...

    1) Select the answer with the correct choices for scenarios A and B regarding the null hypothesis (H0). Scenario A - If we have chosen an alpha (α) of .05 for a two tailed test and our Z obtained is 1.70, what decision do we make regarding the null hypothesis (H0)? Scenario B - If we have chosen an alpha (α) of .01 for a left tailed test and our Z obtained is -2.24, what decision do we make regarding...

  • In a two-tailed F-test about equality of two population variances, given n1=21, S21 = 8.2, n2=26,S22=...

    In a two-tailed F-test about equality of two population variances, given n1=21, S21 = 8.2, n2=26,S22= 4.0, and alpha = 0.05. The numerator and denominator degrees of freedom for the F distribution, respectively, are: The computed value of the test statistic, F, is: The critical value of F, from F chart or using MS Excel, is: The p-value, from F chart or using MS Excel, is: The conclusion is to reject H0. True or False?

  • 9. For each of the following calculated t-values and sample sizes, indicate the degrees of freedom...

    9. For each of the following calculated t-values and sample sizes, indicate the degrees of freedom and whether you should reject or not reject the null hypothesis (if you reject Ho, indicate whether it is at the .05 or .01 significance level). Conduct each of these t-tests using a two-tailed hypothesis. a. t = +2.18 ni = 5 n2 = 5 b. t= -2.05 n1 = 12 n2 = 10 c. t = -2.18 n = 15 n2 = 15...

  • Suppose that, for a t-test, your computed value for t is +3.28. The critical value of...

    Suppose that, for a t-test, your computed value for t is +3.28. The critical value of t is +2.048. Explain what this means. Do you reject the null hypothesis or not? Now suppose that you have 28 degrees of freedom and are using a two-tailed (nondirectional) test. Draw a simple figure to illustrate the relationship between the critical and the computed values of t for this result.

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT