Step 1: Test Set-up Sue, Grabitt, and Runne is a large international law firm that hires a lot of newly graduated attorneys. To help their new hires settle into their jobs and new city, the firm’s human resources department tracks the commuting times from two popular neighborhoods where their new hires tend to reside, NoBo and SoBo. Table 17: Commute Times from SoBo in image Step 2. Select the Level of Significance, α A 5 percent level of significance is selected.   Step 3. State the Null Hypothesis (H0) and Alternate Hypothesis (H1) H0: H1:   Step 4. Compose the Decision Rule       Step 5. Calculate the Value of the Test Statistic, p-value, and estimate statistical power Use G*Power to calculate statistical power.   Step 6. Decide and Report

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Step 1: Test Set-up

Sue, Grabitt, and Runne is a large international law firm that hires a lot of newly graduated attorneys. To help their new hires settle into their jobs and new city, the firm’s human resources department tracks the commuting times from two popular neighborhoods where their new hires tend to reside, NoBo and SoBo.

Table 17: Commute Times from SoBo

in image

Step 2. Select the Level of Significance, α

A 5 percent level of significance is selected.

 

Step 3. State the Null Hypothesis (H0) and Alternate Hypothesis (H1)

H0:

H1:

 

Step 4. Compose the Decision Rule

 

 

 

Step 5. Calculate the Value of the Test Statistic, p-value, and estimate statistical power

Use G*Power to calculate statistical power.

 

Step 6. Decide and Report

 

**Step 1: Test Set-up**

Sue, Grabitt, and Runne is a large international law firm that hires a lot of newly graduated attorneys. To help their new hires settle into their jobs and new city, the firm’s human resources department tracks the commuting times from two popular neighborhoods where their new hires tend to reside, NoBo and SoBo.

**Table 17: Commute Times from SoBo**

The table displays commute times (in minutes) for new hires traveling from the SoBo neighborhood:

```
20 19 21 21 39
27 26 26 44 41
27 20 35 31 43
29 28 25 35 28
46 41 43 45 27
23 39 43 23 27
38 30 24 31 19
23 23 41 45 41
42 34 30 22 32
42 35 35 35 19
```

**Table 18: Commute Times from NoBo**

The table displays commute times (in minutes) for new hires traveling from the NoBo neighborhood:

```
29 33 25 27 54
28 40 38 42 53
37 48 48 24 29
41 35 37 29 36
32 37 24 42 32
42 36 30 25 32
40 37 33 37 47
30 31 39 33 31
46 33 27 31 ---
29 54 54 31 ---
```

**Step 2: Select the Level of Significance, α**

[This section would typically explain the process for selecting a level of significance for statistical analysis, although it is not detailed in the image.]
Transcribed Image Text:**Step 1: Test Set-up** Sue, Grabitt, and Runne is a large international law firm that hires a lot of newly graduated attorneys. To help their new hires settle into their jobs and new city, the firm’s human resources department tracks the commuting times from two popular neighborhoods where their new hires tend to reside, NoBo and SoBo. **Table 17: Commute Times from SoBo** The table displays commute times (in minutes) for new hires traveling from the SoBo neighborhood: ``` 20 19 21 21 39 27 26 26 44 41 27 20 35 31 43 29 28 25 35 28 46 41 43 45 27 23 39 43 23 27 38 30 24 31 19 23 23 41 45 41 42 34 30 22 32 42 35 35 35 19 ``` **Table 18: Commute Times from NoBo** The table displays commute times (in minutes) for new hires traveling from the NoBo neighborhood: ``` 29 33 25 27 54 28 40 38 42 53 37 48 48 24 29 41 35 37 29 36 32 37 24 42 32 42 36 30 25 32 40 37 33 37 47 30 31 39 33 31 46 33 27 31 --- 29 54 54 31 --- ``` **Step 2: Select the Level of Significance, α** [This section would typically explain the process for selecting a level of significance for statistical analysis, although it is not detailed in the image.]
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