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10-12-2017 10:11 PM

Hi all,

I have a question is quite complex data with 3 columns:

A company that manufactures motors receives reels of 10,000 terminals per reel. Before using a reel of terminals, 20 terminals are randomly selected to be tested. The test is the amount of pressure needed to pull the terminal apart from its mate. This amount of pressure should continue to increase from test to test as the terminal is “roughed up.” Let *W* equal the difference of the pressures: “test No. 1 pressure” minus “test No. 2 pressure.” Assume that the distribution of *W* is N(*μw*, *σw*2). We shall test the null hypothesis **H0: μw = 0** against the alternative hypothesis

- Give the test statistic and a critical region that has a significance level of
*α*= 0.05.

Terminal | Test #1 | Test #2 |

1 | 2.5 | 3.8 |

2 | 4.0 | 3.9 |

3 | 5.2 | 4.7 |

4 | 4.9 | 6.0 |

5 | 5.2 | 5.7 |

6 | 6.0 | 5.7 |

7 | 5.2 | 5.0 |

8 | 6.6 | 6.2 |

9 | 6.7 | 7.3 |

10 | 6.6 | 6.5 |

11 | 7.3 | 8.2 |

12 | 7.2 | 6.6 |

13 | 5.9 | 6.8 |

14 | 7.5 | 6.6 |

15 | 7.1 | 7.5 |

16 | 7.2 | 7.5 |

17 | 6.1 | 7.3 |

18 | 6.3 | 7.1 |

19 | 6.5 | 7.2 |

20 | 6.5 | 6.7 |

* *

- Verify by using a
**SAS.** - What is the approximate
*p*-value of this test?

Thanks,

Joe

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Posted in reply to JaeGonKim

10-12-2017 10:46 PM

This is clearly homework.

1. What statistical test are you trying to run?

2. Which SAS Procedure carries out that procedure?

3. Look up that procedure in the SAS documentation and check the examples sections for many examples.

If you still need help, post back with what you've tried and details.

If it's not homework, and you're interested in learning SAS for statistical analysis, the first SAS e-course is free and will cover these types of topics. And the steps above still apply

JaeGonKim wrote:

Hi all,

I have a question is quite complex data with 3 columns:

A company that manufactures motors receives reels of 10,000 terminals per reel. Before using a reel of terminals, 20 terminals are randomly selected to be tested. The test is the amount of pressure needed to pull the terminal apart from its mate. This amount of pressure should continue to increase from test to test as the terminal is “roughed up.” Let

Wequal the difference of the pressures: “test No. 1 pressure” minus “test No. 2 pressure.” Assume that the distribution ofWis N(μw,σw2). We shall test the null hypothesisH0:against the alternative hypothesisμw= 0HA:using 20 pairs of observations.μw< 0

- Give the test statistic and a critical region that has a significance level of
α= 0.05.

Terminal

Test #1

Test #2

1

2.5

3.8

2

4.0

3.9

3

5.2

4.7

4

4.9

6.0

5

5.2

5.7

6

6.0

5.7

7

5.2

5.0

8

6.6

6.2

9

6.7

7.3

10

6.6

6.5

11

7.3

8.2

12

7.2

6.6

13

5.9

6.8

14

7.5

6.6

15

7.1

7.5

16

7.2

7.5

17

6.1

7.3

18

6.3

7.1

19

6.5

7.2

20

6.5

6.7

- Verify by using a
SAS.- What is the approximate
p-value of this test?Thanks,

Joe

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Posted in reply to Reeza

10-12-2017 10:47 PM

Scratch that, this is identical to your previous question. Review the answer there.

Good Luck.

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Posted in reply to JaeGonKim

10-10-2017 11:10 AM

Hi everyone,

The new question is quite complex data with 3 columns:

A company that manufactures motors receives reels of 10,000 terminals per reel. Before using a reel of terminals, 20 terminals are randomly selected to be tested. The test is the amount of pressure needed to pull the terminal apart from its mate. This amount of pressure should continue to increase from test to test as the terminal is “roughed up.” Let *W* equal the difference of the pressures: “test No. 1 pressure” minus “test No. 2 pressure.” Assume that the distribution of *W* is N(*μw*, *σw*2). We shall test the null hypothesis **H0: μw = 0** against the alternative hypothesis

- Give the test statistic and a critical region that has a significance level of
*α*= 0.05.

Terminal | Test #1 | Test #2 |

1 | 2.5 | 3.8 |

2 | 4.0 | 3.9 |

3 | 5.2 | 4.7 |

4 | 4.9 | 6.0 |

5 | 5.2 | 5.7 |

6 | 6.0 | 5.7 |

7 | 5.2 | 5.0 |

8 | 6.6 | 6.2 |

9 | 6.7 | 7.3 |

10 | 6.6 | 6.5 |

11 | 7.3 | 8.2 |

12 | 7.2 | 6.6 |

13 | 5.9 | 6.8 |

14 | 7.5 | 6.6 |

15 | 7.1 | 7.5 |

16 | 7.2 | 7.5 |

17 | 6.1 | 7.3 |

18 | 6.3 | 7.1 |

19 | 6.5 | 7.2 |

20 | 6.5 | 6.7 |

* *

- I want to import this table from Excel and than using SAS software to solve it.
- What is the approximate
*p*-value of this test?

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Posted in reply to JaeGonKim

10-12-2017 01:36 AM

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Posted in reply to ChrisNZ

10-12-2017 10:48 PM

Note that I've merged this thread into one, as it's a duplicate post.

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Posted in reply to Reeza

10-13-2017 04:50 AM

Please help me make this example using SAS.

Thanks,

Joe

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Posted in reply to JaeGonKim

10-13-2017 10:12 AM

Please post the code you already have.

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Posted in reply to JaeGonKim

10-13-2017 10:40 AM

JaeGonKim wrote:

Please help me make this example using SAS.

Thanks,

Joe

@JaeGonKim please explain how this is different than your previous question, which I linked to and why the solution there doesn't work for this data. Include the code and errors, if applicable.

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Posted in reply to JaeGonKim

10-13-2017 12:41 PM

Hint: Proc TTest, look at Paired comparisons.