Question

9. There are two sections of statistics, one in the morning (AM) with 20 students and...

9.

There are two sections of statistics, one in the morning (AM) with 20 students and one in the afternoon (PM) with 31students. Each section takes the identical test. The PM section, on average, scored higher than the AM section. The results are summarized in the table below.

Necessary information:

n x s2 s  
PM (x1) 31 81.4 277.5 16.66  
AM (x2) 20 71.5 250.3 15.82  


The Test: Test the claim that the PM section did significantly better than the AM section, i.e., is the difference in mean scores large enough to believe that something more than random variation produced this difference. Use a 0.05 significance level.

(a) Calculate the test statistic using software or the formula below
t =

(x1x2) − δ
s12
n1
+
s22
n2

where δ is the hypothesized difference in means from the null hypothesis. Round your answer to 2 decimal places.

t =

  
To account for hand calculations -vs- software, your answer must be within 0.01 of the true answer.  

(b) Use software to get the P-value of the test statistic. Round to 4 decimal places.
P-value =  

(c) What is the conclusion regarding the null hypothesis?

reject H0fail to reject H0     


(d) Choose the appropriate concluding statement.

The difference in mean scores is large enough to suggest this difference is due to something more than random variation. There is not a big enough difference in mean scores to suggest that this difference is anything more than a result of random variation.      We have proven that students in PM sections of statistics do better, on average, than students taking AM sections.We have proven that there is no difference between AM and PM sections of statistics.

Homework Answers

Answer #1

For PM : x̅1 = 81.4, s1 = 16.66, n1 = 31

For AM : x̅2 = 71.5, s2 = 15.82, n2 = 20

Null and Alternative hypothesis:

Ho : µ1 = µ2

H1 : µ1 > µ2

a)

Test statistic:

t = (x̅1 - x̅2)/√(s1²/n1 + s2²/n2) = (81.4 - 71.5)/√(16.66²/31 + 15.82²/20) = 2.14

b)

df = ((s1²/n1 + s2²/n2)²)/[(s1²/n1)²/(n1-1) + (s2²/n2)²/(n2-1) ] = 42.2251 = 42

p-value = T.DIST.RT(2.1367, 42) = 0.0192

c)

p-value < α, Reject the null hypothesis

d)

Conclusion:

We have proven that students in PM sections of statistics do better, on average, than students taking AM sections.

Know the answer?
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
Similar Questions
AM -vs- PM sections of Stats - Significance test (Raw Data, Software Required): There are two...
AM -vs- PM sections of Stats - Significance test (Raw Data, Software Required): There are two sections of statistics, one in the afternoon (PM) with 30 students and one in the morning (AM) with 22 students. Each section takes the identical test. The PM section, on average, scored higher than the AM section. The scores from each section are given in the table below. Test the claim that the PM section did significantly better than the AM section, i.e., is...
AM -vs- PM sections of Stats - Significance test (Raw Data, Software Required): There are two...
AM -vs- PM sections of Stats - Significance test (Raw Data, Software Required): There are two sections of statistics, one in the afternoon (PM) with 30 students and one in the morning (AM) with 22 students. Each section takes the identical test. The PM section, on average, scored higher than the AM section. The scores from each section are given in the table below. Test the claim that the PM section did significantly better than the AM section, i.e., is...
9. Grades and AM/PM Section of Stats: There were two large sections of statistics this term...
9. Grades and AM/PM Section of Stats: There were two large sections of statistics this term at State College, an 8:00 (AM) section and a 1:30 (PM) section. The final grades for both sections are summarized in the contingency table below. Observed Frequencies: Oi's A B C D F Totals AM 6 11 17 20 18 72 PM 19 19 17 13 8 76 Totals 25 30 34 33 26 148 The Test: Test for a significant dependent relationship between...
Grades and AM/PM Section of Stats: There were two large sections of statistics this term at...
Grades and AM/PM Section of Stats: There were two large sections of statistics this term at State College, an 8:00 (AM) section and a 1:30 (PM) section. The final grades for both sections are summarized in the contingency table below. Observed Frequencies: Oi's A B C D F Totals AM 6   13     19     18     15     71   PM 19   21     18     12     7     77   Totals   25     34     37     30     22     148   The Test: Test for a significant dependent relationship between grades...
Grades and AM/PM Section of Stats: There were two large sections of statistics this term at...
Grades and AM/PM Section of Stats: There were two large sections of statistics this term at State College, an 8:00 (AM) section and a 1:30 (PM) section. The final grades for both sections are summarized in the contingency table below. Observed Frequencies: Oi's    A B C D F Totals    AM 6   12     17     18     18     71    PM 19   21     17     12     8     77    Totals   25     33     34     30     26     148    The Test: Test for a significant dependent relationship...
Grades and AM/PM Section of Stats: There were two large sections of statistics this term at...
Grades and AM/PM Section of Stats: There were two large sections of statistics this term at State College, an 8:00 (AM) section and a 1:30 (PM) section. The final grades for both sections are depicted in the contingency table below. Observed Frequencies: Oi's   A     B     C     D     F     Totals   AM   6   12     18     19     16     71   PM   19   21     18     12     7     77   Totals     25     33     36     31     23     148   The Test: Test for a significant dependent relationship between grades...
Easier Professor - Significance Test: Next term, there are two sections of STAT 260 - Research...
Easier Professor - Significance Test: Next term, there are two sections of STAT 260 - Research Methods being offered. One is taught by Professor Smith and the other by Professor Jones. Last term, the class average from Professor Smith's section was higher. You want to test whether or not this difference is significant. A significant difference is one that is not likely to be a result of random variation. Somehow, you have the relevant data from last term. The results...
Easier Professor - Significance Test (Raw Data, Software Required): Next term, there are two sections of...
Easier Professor - Significance Test (Raw Data, Software Required): Next term, there are two sections of STAT 260 - Research Methods being offered. One is taught by Professor Smith and the other by Professor Jones. Last term, the class average from Professor Smith's section was higher. You want to test whether or not this difference is significant. A significant difference is one that is not likely to be a result of random variation. The scores from last year's classes are...
Rainy Weekends - Significance Test: During the summer of 2012 in Acadia National Park, the mean...
Rainy Weekends - Significance Test: During the summer of 2012 in Acadia National Park, the mean rainfall on weekends was greater than the mean on weekdays. In this problem we determine whether or not it rained significantly more on weekends. A significant difference is one that is unlikely to be a result of random variation. The table summarizes this data. The x 's are actually population means but we treat them like sample means. Necessary information: n x s2 s...
AM -vs- PM Test Scores: In my AM section of statistics there are 22 students. The...
AM -vs- PM Test Scores: In my AM section of statistics there are 22 students. The scores of Test 1 are given in the table below. The results are ordered lowest to highest to aid in answering the following questions. index 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 score 35 50 58 59 60 61 65 66 68 68 69 74 76 76 79 82...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT