A study comparing the resting heart rate of four different types of elite athletes recruited: 10 cyclists, 10 triathletes, 10 soccer players, and 10 baseball players. The resting heart rate of each athlete was measured, and the following hypothesis was tested using ANOVA: "Type of sport is a factor in elite athletes' resting heart rate." The BETWEEN groups sum of squares was calculated to be 1,853, and the WITHIN groups sum of squares was calculated to be 17,422.2. (NOTE: These are not the mean sum of squares) Calculate the F-statistic to two decimal places

An air-conditioning repair department manager has compiled data on the primary reason for 41 service calls for the previous week, as shown in the table.

Job Number	Problem/ Customer Type	Job Number	Problem/ Customer Type	Job Number	Problem/ Customer Type
301	W/R	315	F/R	329	N/R
302	O/C	316	F/C	330	W/R
303	O/C	317	W/C	331	O/C
304	O/R	318	W/C	332	N/C
305	N/R	319	W/C	333	N/R
306	F/R	320	F/R	334	N/R
307	N/C	321	O/C	335	W/C
308	O/R	322	N/C	336	N/R
309	W/C	323	N/R	337	F/R
310	O/C	324	W/R	338	O/R
311	F/C	325	W/R	339	F/R
312	W/R	326	O/C	340	N/R
313	F/R	327	W/C	341	W/R
314	N/R	328	O/C

Key:	Problem type:	Customer type:
	N	= Noisy	C	= Commercial customer
	F	= Equipment failure	R	= Residential customer
	W	= Runs warm
	O	= Odor

a.	Using the data, prepare a check sheet for the problem types for each customer type.

(1)	Residential customer type

	Residential
Noisy
Failed
Warm
Odor
Totals

(2)	Commercial customer type

	Commercial
Noisy
Failed
Odor
Warm
Totals