Question

Amanda, a local supermarket owner, has decided to use a more analytical approach to improve her store's customer service. Her goal is to maintain the ratio of people working in the store over the number of customers around 1.5. What this means is, for example, for every two customers at any point in time there would be three people working at the store.

In order for her to achieve this ratio, she wants to re-evaluate her knowledge about the number of people entering the store at any given time in a more analytical way. She knows based on her experience on average 1 customers enter the store every 30 mins. To verify this assumption, she has recorded the customer's foot traffic for 5 hours.

Hours	#Customers
9am-9.30am	3
9.30am-10am	1
10am-10.30am	1
10.30am-11am	3
11am-11.30am	1
11.30am-12pm	3
12pm-12.30pm	3
12.30pm-1pm	4
1pm-1.30pm	1
1.30pm-2pm	3

Using the information that Amanda's captured during the 5 hours, run a hypothesis testing to check if the average number of customers per 30 min is greater than 1 customers per 30 min.

?0: The average number of customers per 30 min is not greater than 1

?1: The average number of customers per 30 min is greater than 1

What is the test statistics of this hypothesis testing?

Round your answer to 1 decimal place (ex.: 19.4 for 19.432).

Based on a significance level of 10%, can we reject the null hypothesis?

Round your numbers to 1 decimal place (ex.: 19.4 for 19.432).

Answer 1