In: Statistics and Probability
4. Chapter 12: Using the attached dataset “Chapter 12 Data Set 1” to determine whether there was a change in tons of paper before vs. after a recycling program in these 25 districts. a. Is this a directional or non-directional hypothesis? b. Should you use a one-tailed or two-tailed test? c. Is a dependent samples t-test an appropriate way to analyze these data? d. Conduct the between groups t-test using Excel (either method). Use the .05 confidence level. What is your conclusion?
District Before Recycling After
Recycling
District1 20 23
District2 6 8
District3 12 11
District4 34 35
District5 55 57
District6 43 76
District7 54 54
District8 24 26
District9 33 35
District10 21 26
District11 34 28
District12 33 31
District13 54 56
District14 23 22
District15 33 35
District16 44 41
District17 65 56
District18 43 34
District19 53 51
District20 22 21
District21 34 31
District22 32 33
District23 44 38
District24 17 15
District25 28 27
( a ) This is non-directional hypothesis
( b ) use a two-tailed test
( c ) yes dependent samples t-test an appropriate way to analyze these data
( d )
For the given data using t-Test: Paired Two Sample for Means in Excel we get output as
t-Test: Paired Two Sample for Means | ||
before | after | |
Mean | 34.44 | 34.8 |
Variance | 218.7567 | 259.75 |
Observations | 25 | 25 |
Pearson Correlation | 0.88013 | |
Hypothesized Mean Difference | 0 | |
df | 24 | |
t Stat | -0.23453 | |
P(T<=t) one-tail | 0.408283 | |
t Critical one-tail | 1.710882 | |
P(T<=t) two-tail | 0.816566 | |
t Critical two-tail | 2.063899 |
So from the above output
P value > l.o.s
0.8166 > 0.05
so fail to reject H0
Conclusion :
At alpha = 0.05 l.o.s there is no evidence to support the claim that there was a change in tons of paper before vs. after a recycling program in these 25 districts