ast year a company received 50 complaints concerning carpet installation. The data in the accompanying table represents the number of days between the receipt of a complaint and the resolution of the complaint. The supervisor claims that the mean number of days between the receipt of a complaint and the resolution of the complaint is 20 days. At the 0.10 level of​ significance, is there evidence that the claim is not true​ (that is, that the mean number of days is different from 20​)?

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Last year a company received 50 complaints concerning carpet installation. The data in the accompanying table represents the number of days between the receipt of a complaint and the resolution of the complaint.

The supervisor claims that the mean number of days between the receipt of a complaint and the resolution of the complaint is 20 days. At the
0.10 level of​ significance, is there evidence that the claim is not true​ (that is, that the mean number of days is different from 20​)?
 
State the null and alternative hypotheses.
H0:
H1:
 
Determine the test statistic.
The test statistic is ___.
 
the t critical is​ t.005,49 = 2.6800
 
since the t stat is more than the t critical we reject Ho
 
State the conclusion.
 
__A__ H0. There is __B__ evidence to conclude that the mean number of days is different from 20.
 
A: Reject or do not reject
B: sufficient or insufficient



**Data Table Overview**

The table provides a dataset representing the number of days between the receipt and resolution of complaints. Each number indicates the duration, in days, for different cases or instances.

**Data Table:**

```
55  64   2  37 135  35  23 155   2 128
74  68  20  17  14 125 102 107  24  92
82  36  34  25  21   5 166  39  35
20  29  29   1  10  19  10  17  20  17
27  52  38  26  32  25  21  26  36  60
```

**Explanation:**

- **Rows and Columns:** The data is organized in a rectangular format. There are five rows and varying numbers of columns per row.

- **Values:** Each value in the table represents the total days taken to resolve separate complaints, showcasing considerable variability. Some complaints are resolved in just 1 to 2 days, while others take over 100 days.

- **Use Case:** This data can be useful for analyzing patterns in complaint resolution times, identifying outliers, and improving customer service processes by reducing the time to resolve complaints.

This table can be used to facilitate discussions or learning activities about data management, statistical analysis, and operational efficiency.
Transcribed Image Text:**Data Table Overview** The table provides a dataset representing the number of days between the receipt and resolution of complaints. Each number indicates the duration, in days, for different cases or instances. **Data Table:** ``` 55 64 2 37 135 35 23 155 2 128 74 68 20 17 14 125 102 107 24 92 82 36 34 25 21 5 166 39 35 20 29 29 1 10 19 10 17 20 17 27 52 38 26 32 25 21 26 36 60 ``` **Explanation:** - **Rows and Columns:** The data is organized in a rectangular format. There are five rows and varying numbers of columns per row. - **Values:** Each value in the table represents the total days taken to resolve separate complaints, showcasing considerable variability. Some complaints are resolved in just 1 to 2 days, while others take over 100 days. - **Use Case:** This data can be useful for analyzing patterns in complaint resolution times, identifying outliers, and improving customer service processes by reducing the time to resolve complaints. This table can be used to facilitate discussions or learning activities about data management, statistical analysis, and operational efficiency.
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