QUESTION 5 The most appropriate probability distribution and test statistic to utilize for this inferential analysis is which of the following? z or standard normal t of Student'st OF x2 QUESTION 6 Which type of hypothesis testing is involved? no tail two tail one tail, left tail one tail, right tail QUESTION 7 What is the total sample size, n?

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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**Question 5**

The most appropriate probability distribution and test statistic to utilize for this inferential analysis is which of the following?

- \( z \) or standard normal
- \( t \) of Student's t
- \( F \)
- \( \chi^2 \)

**Question 6**

Which type of hypothesis testing is involved?

- no tail
- two tail
- one tail, left tail
- one tail, right tail

**Question 7**

What is the total sample size, \( n \)?  
[Text box for input]
Transcribed Image Text:**Question 5** The most appropriate probability distribution and test statistic to utilize for this inferential analysis is which of the following? - \( z \) or standard normal - \( t \) of Student's t - \( F \) - \( \chi^2 \) **Question 6** Which type of hypothesis testing is involved? - no tail - two tail - one tail, left tail - one tail, right tail **Question 7** What is the total sample size, \( n \)? [Text box for input]
**Analysis of Room Cleaning Data at Palisades Plaza Motor Inn**

**Introduction:**

The head housekeeper at the Palisades Plaza Motor Inn is examining whether the individual staff member or the day of the week affects the average number of sleeping rooms cleaned. This investigation employs statistical analysis based on the data in the table below, with a focus on a 10% level of significance.

**Data Table:**

|       | S  | M  | T  | W  | T  | F  | S  |
|-------|---|---|---|---|---|---|---|
| **Ari**    | 34 | 32 | 43 | 33 | 37 | 44 | 33 |
| **Betty**  | 46 | 38 | 35 | 42 | 39 | 41 | 37 |
| **Carlos** | 35 | 39 | 49 | 29 | 38 | 36 | 34 |
| **Dante**  | 47 | 43 | 46 | 47 | 44 | 49 | 47 |
| **Enid**   | 46 | 42 | 33 | 37 | 45 | 41 | 33 |
| **Fatima** | 44 | 44 | 46 | 39 | 41 | 44 | 37 |

**Research Questions:**

1. Is there a difference in the mean number of rooms cleaned based on the individual staff member?
2. Is there a difference in the mean number of rooms cleaned based on the day of the week?

**Graphical Analysis:**

- The table provides details on the number of rooms cleaned by each staff member over a week, which can be visualized using plots to detect patterns across days or among staff.
  
**Comments & Hints:**

- Assume all necessary statistical assumptions are met.
- Utilize technology to simplify calculations.
- Round decimals and percentages as necessary.

This analysis is crucial for efficient resource allocation and optimizing staff schedules based on peak days or exemplary performance.
Transcribed Image Text:**Analysis of Room Cleaning Data at Palisades Plaza Motor Inn** **Introduction:** The head housekeeper at the Palisades Plaza Motor Inn is examining whether the individual staff member or the day of the week affects the average number of sleeping rooms cleaned. This investigation employs statistical analysis based on the data in the table below, with a focus on a 10% level of significance. **Data Table:** | | S | M | T | W | T | F | S | |-------|---|---|---|---|---|---|---| | **Ari** | 34 | 32 | 43 | 33 | 37 | 44 | 33 | | **Betty** | 46 | 38 | 35 | 42 | 39 | 41 | 37 | | **Carlos** | 35 | 39 | 49 | 29 | 38 | 36 | 34 | | **Dante** | 47 | 43 | 46 | 47 | 44 | 49 | 47 | | **Enid** | 46 | 42 | 33 | 37 | 45 | 41 | 33 | | **Fatima** | 44 | 44 | 46 | 39 | 41 | 44 | 37 | **Research Questions:** 1. Is there a difference in the mean number of rooms cleaned based on the individual staff member? 2. Is there a difference in the mean number of rooms cleaned based on the day of the week? **Graphical Analysis:** - The table provides details on the number of rooms cleaned by each staff member over a week, which can be visualized using plots to detect patterns across days or among staff. **Comments & Hints:** - Assume all necessary statistical assumptions are met. - Utilize technology to simplify calculations. - Round decimals and percentages as necessary. This analysis is crucial for efficient resource allocation and optimizing staff schedules based on peak days or exemplary performance.
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