Question 1 Using the MLB data file, answer the following questions. a.Conduct a test of the...

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Question 1 Using the MLB data file, answer the following questions. a. Conduct a test of the hypothesis to determine whether the mean salary of the teams was different from $100.0 million. H o : μ =...

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Question 1

Using the MLB data file, answer the following questions.

a.Conduct a test of the hypothesis to determine whether the mean salary of the teams was different from $100.0 million.

H_o: μ = 100 H₁: μ ≠ 100

Use the .05 significance level. Use thetdistribution for this calculation (since you do not have all of the player salaries, the data in the file represents a sample of the player salaries). Should we reject or fail to reject the null hypothesis? See LO10-6.

b.Using the 5% significance level, conduct a test of the hypothesis to determine whether the mean attendance was more than 2,000,000 per team.

Ho: μ ≤ 2,000,000 H1: μ > 2,000,000 This is a one-tail test. Be sure to choose the correct value from thetdistribution table.

Should we reject or fail to reject the null hypothesis?

c.At the .05 significance level, can we conclude that there is a difference in the mean salary of teams in the American League versus teams in the National League? See LO11-3 and LO11-04. Use t-test - two-sample assuming equal variances.

d.At the .05 significance level, can we conclude that there is a difference in the mean home attendance of teams in the American League versus teams in the National League? See LO11-3 and LO11-04. Use t-test - two-sample assuming equal variances.

e.Create a variable that classifies a team's total attendance into three groups: less than 2.0 million; 2.0 million up to 3.0 million; and, 3.0 million or more. At the .05 significance level, is there a difference in the mean number of games won among the three groups? (you will use the ANOVA function)

f.Using the same attendance variable developed in part b, is there a difference in the mean number of home runs hit per team? Usethe .05 significance level.(you will use the ANOVA function)

Question 2

Using the LincolnvilleSchool District bus data file, answer the following.

a.Select the variable for the number of miles traveled last month. Conduct a hypothesis test to determine whether the mean miles traveled last month equals 10,000. Use the .01 significance level. Find the p-value and explain what it means. (use thetdistribution table)

H_o: μ = 10,000 H₁: μ ≠ 10,000

b.A study of school bus fleets reports that the average per bus maintenance cost is $4,000 per year. Using the maintenance cost variable, conduct a hypothesis test to determine whether the mean maintenance cost for Lincolnville's bus fleet is more than $4,000 at the .05 significance level. Determine the p-value and report the results. (use thetdistribution table)

H_o: μ ≤ 4,000 H₁: μ > 4,000

Is there a difference in the mean maintenance costs for the diesel versus gasoline buses? Use the .05 significance level.

assignment7buena-54dn4uly.xlsx assignment7mlb-3-tizrvvey.xlsx

Answered Same Day Oct 09, 2021

Pooja · Accepted Answer

MLB Data Set 17e
	Team	League	Year Opened	Team Salary 	Attendance	Wins	ERA	BA	HR			Year	Average salary
	Arizona	National	1998	65.80	2080145	79	4.04	0.264	154			2000	1988034
	Atlanta	National	1996	89.60	2001392	67	4.41	0.251	100			2001	2264403
	Baltimore	American	1992	118.90	2281202	81	4.05	0.250	217			2002	2383235
	Boston	American	1912	168.70	2880694	78	4.31	0.265	161			2003	2555476
	Chicago Cubs	National	1914	117.20	2959812	97	3.36	0.244	171			2004	2486609
	Chicago Sox	American	1991	110.70	1755810	76	3.98	0.250	136			2005	2632655
	Cincinnati	National	2003	117.70	2419506	64	4.33	0.248	167			2006	2866544
	Cleveland	American	1994	87.70	1388905	81	3.67	0.256	141			2007	2944556
	Colorado	National	1995	98.30	2506789	68	5.04	0.265	186			2008	3154845
	Detroit	American	2000	172.80	2726048	74	4.64	0.270	151			2009	3240206
	Houston	American	2000	69.10	2153585	86	3.57	0.250	230			2010	3297828
	Kansas City	American	1973	112.90	2708549	95	3.73	0.269	139			2011	3305393
	LA Angels	American	1966	146.40	3012765	85	3.94	0.246	176			2012	3440000
	LA Dodgers	National	1962	230.40	3764815	92	3.44	0.250	187			2013	3650000
	Miami	National	2012	84.60	1752235	71	4.02	0.260	120			2014	3950000
	Milwaukee	National	2001	98.70	2542558	68	4.28	0.251	145			2015	4250000
	Minnesota	American	2010	108.30	2220054	83	4.07	0.247	156
	NY Mets	National	2009	100.10	2569753	90	3.43	0.244	177
	NY Yankees	American	2009	213.50	3193795	87	4.05	0.251	212
	Oakland	American	1966	80.80	1768175	68	4.14	0.251	146
	Philadelphia	National	2004	133.00	1831080	63	4.69	0.249	130
	Pittsburgh	National	2001	85.90	2498596	98	3.21	0.260	140
	San Diego	National	2004	126.60	2459742	74	4.09	0.243	148
	San Francisco	National	2000	166.50	3375882	84	3.72	0.267	136
	Seattle	American	1999	123.20	2193581	76	4.16	0.249	198
	St. Louis	National	2006	120.30	3520889	100	2.94	0.253	137
	Tampa Bay	American	1990	74.80	1287054	80	3.74	0.252	167
	Texas	American	1994	144.80	2491875	88	4.24	0.257	172
	Toronto	American	1989	116.40	2794891	93	3.8	0.

Question 1 Using the MLB data file, answer the following questions. a. Conduct a test of the hypothesis to determine whether the mean salary of the teams was different from $100.0 million. H o : μ =...

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