Please show which excel formulas to use for any of the below calculations Question 14 DATA Valley Foothills 109 82 116 161 106 163 157 112 147 222 105 137 173 226 153 200 137 154 110 176 BigDeal Real Estate surveyed prices per square foot in the valley and foothills of Hoke a mo, Utah Based on BD'sDATA,areprices per square foot equal at 0 01 Question 14 options None of the answers match my calculation The critical value is 2 977 since this is a two tail scenario The test statistic is 3 207 Since the test statistic the critical value, the test statistic does lie in the area of rejection Reject the null hypothesis The prices per square foot are not equal at alpha 01 The critical value is 2 977 since this is a two tail scenario The test statistic is 2 239 Since the test statistic the critical value, the test statistic does not lie in the area of rejection Do not reject the null hypothesis The prices per square foot are equal at alpha 01 The critical value is 2 977 since this is a two tail scenario The test statistic is 1 936 Since the test statistic the critical value, the test statistic does not lie in the area of rejection Do not reject the null hypothesis The prices per square foot are equal at alpha 01 The critical value is 2 977 since this is a two tail scenario The test statistic is 1 513 Since the test statistic the critical value, the test statistic does not lie in the area of rejection Do not reject the null hypothesis The prices per square foot are equal at alpha 01 Hint for Question 14 Test H0 Valley mean foothill mean Is this paired data (2 measurements dependent on the unit of observation), or data from 2 independent populations When we do not know if the variances are equal, we assume variances are unequal Use Data Analysis, t Test Two Sample Assuming Unequal Variances Take care that the significance level alpha is consistent with the value given in the question and that the Labels check box is only checked if the first row of the Input Range contains variable labels It is recommended that you include the data labels in the Input Range and check the Labels checkbox Excel gives critical values for both one tail P(T the F critical value of 3 682, therefore reject the equality of means Knowledge of TQM is not equal across the 3 plants None of the answers match my calculation Hint for Question 15 Test H0 Portland Houston Jacksonville at 0 05 What Data Analysis procedure is used to test equality of three population means Take care to use the Labels checkbox correctly If the Input Range includes the data labels, check the Labels checkbox If the Input Range does not include the data labels, do not check the Labels checkbox It is recommended that you include the data labels in the Input Range and check the Labels checkbox Verify that the input significance level alpha is correct Compare the F and F crit values What is the rule for rejecting H0 Equal means Question 16ANOVA 2 DATA Manufacturer A B C D 25 23 25 26 23 21 25 27 21 23 25 26 23 24 21 24 To test whether the mean time to mix a batch of adhesive is the same for machines produced by four manufacturers, TiteBondMax obtainedDATAon the time (minutes) needed to mix the materials Test whether the machines have equal mean mixing time at 0 05 Question 16 options The pvalue 0 0001 is extreme evidence that the machines are not all the same The data provide weak evidence against H0 Equal means at pvalue 0 072 Equality of means remains plausible The data provide insignificant evidence against H0 Equal means at pvalue 0 514 The machine are considered equal The data provide strong evidence against H0 Equal means at pvalue 0 013 The mixing machines are not all equal None of the answers match my calculation The data provide extreme evidence against H0 Equal means at pvalue 0 001 The mixing machines are not all equal Hide hint for Question 16 Test H0 Equal mixing times at 0 05 What Data Analysis procedure is used to test equality of three population means Take care to use the Labels checkbox correctly If the Input Range includes the data labels, check the Labels checkbox If the Input Range does not include the data labels, do not check the Labels checkbox It is recommended that you include the data labels in the Input Range and check the Labels checkbox Verify that the input significance level alpha is correct Compare the F and F crit values What is the rule for rejecting H0 Equal means We state that the evidence against H0 is Extreme when p value 0 001 Overwhelming when 0 001 p value 0 01 Strong when 0 01 p value 0 05 Weak when 0 05 p value 0 10 Insignificant when 0 10 p value Question 17 Pivot Table DATA Customer Eye Condition Gender 1 Farsighted Male 2 Bifocals Male 3 Nearsighted Male 4 Farsighted Male 5 Nearsighted Female 6 Farsighted Male 7 Farsighted Male 8 Nearsighted Female 9 Nearsighted Male 10 Farsighted Male 11 Bifocals Male 12 Farsighted Female 13 Farsighted Male 14 Farsighted Male 15 Farsighted Male 16 Farsighted Male 17 Nearsighted Male 18 Bifocals Female 19 Farsighted Male 20 Farsighted Male 21 Farsighted Male 22 Bifocals Male 23 Farsighted Female 24 Nearsighted Male 25 Nearsighted Female 26 Bifocals Female 27 Nearsighted Female 28 Farsighted Female 29 Bifocals Male 30 Nearsighted Female 31 Farsighted Male 32 Bifocals Female 33 Farsighted Male 34 Bifocals Female 35 Bifocals Female 36 Farsighted Female 37 Bifocals Male 38 Farsighted Male 39 Bifocals Female 40 Bifocals Male 41 Farsighted Male 42 Farsighted Female 43 Bifocals Female 44 Farsighted Female 45 Farsighted Male 46 Farsighted Male 47 Bifocals Female 48 Farsighted Female 49 Farsighted Female 50 Bifocals Male 51 Nearsighted Male 52 Bifocals Female 53 Farsighted Female 54 Farsighted Female 55 Farsighted Male 56 Bifocals Female 57 Farsighted Female 58 Farsighted Male 59 Farsighted Male 60 Nearsighted Male 61 Farsighted Female 62 Nearsighted Male 63 Farsighted Female 64 Farsighted Female 65 Bifocals Female 66 Farsighted Male 67 Bifocals Male 68 Farsighted Female 69 Farsighted Male 70 Farsighted Female 71 Bifocals Female 72 Farsighted Male 73 Bifocals Female 74 Farsighted Female 75 Farsighted Female 76 Farsighted Female 77 Farsighted Female 78 Farsighted Female 79 Farsighted Female 80 Farsighted Female 81 Farsighted Female 82 Farsighted Female 83 Farsighted Female 84 Farsighted Female To balance inventory at Otto's Optometry, customer Gender and Eye Condition were collected inDATA Make a 2x2 pivot table withGender in rows and Eye Condition in columns The pivot table is Question 17 options

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Please show which excel formulas to use for any of the below calculations: Question 14 DATA: Valley Foothills 109 82 116 161 106 163 157

Please show which excel formulas to use for any of the below calculations:

Question 14

DATA:

Valley	Foothills
109	82
116	161
106	163
157	112
147	222
105	137
173	226
153	200
137	154
110	176

BigDeal Real Estate surveyed prices per square foot in the valley and foothills of Hoke-a-mo, Utah. Based on BD'sDATA,areprices per square foot equal at =0.01?

Question 14 options:

	- None of the answers match my calculation.
	- The critical value is 2.977 since this is a two-tail scenario. The test statistic is 3.207. Since the test statistic > the critical value, the test statistic does lie in the area of rejection. Reject the null hypothesis. The prices per square foot are not equal at alpha = .01
	- The critical value is 2.977 since this is a two-tail scenario. The test statistic is 2.239. Since the test statistic < the critical value, the test statistic does not lie in the area of rejection. Do not reject the null hypothesis. The prices per square foot are equal at alpha = .01
	- The critical value is 2.977 since this is a two-tail scenario. The test statistic is 1.936. Since the test statistic < the critical value, the test statistic does not lie in the area of rejection. Do not reject the null hypothesis. The prices per square foot are equal at alpha = .01
	- The critical value is 2.977 since this is a two-tail scenario. The test statistic is 1.513. Since the test statistic < the critical value, the test statistic does not lie in the area of rejection. Do not reject the null hypothesis. The prices per square foot are equal at alpha = .01
Hint for Question 14
Test H0: Valley mean = foothill mean. Is this paired data (2 measurements dependent on the unit of observation), or data from 2 independent populations? When we do not know if the variances are equal, we assume variances are unequal. Use Data Analysis, t-Test: Two-Sample Assuming Unequal Variances. Take care that the significance level alpha is consistent with the value given in the question and that the Labels check box is only checked if the first row of the Input Range contains variable labels. It is recommended that you include the data labels in the Input Range and check the Labels checkbox. Excel gives critical values for both one tail P(T<=t) and two tail P(T<=t) two-tail tests. Which critical value applies in this problem?

Question 15- ANOVA-1

DATA:

Observation	Portland	Houston	Jacksonville
1	85	71	59
2	75	75	64
3	82	73	62
4	76	74	69
5	71	69	75
6	85	82	67

National Bearings manufactures bearings at plants located in Portland Oregon, Houston Texas, and Jacksonville Florida. To measure employee knowledge of Total Quality Management (TQM), six employees were randomly selected at each plant and tested. The test scores for these employees are given inDATA. Managers want to know if, on average, knowledge of TQM is equal across the 3 plants. Test equality of mean scores at = 0.05.

Question 15 options:

	-The F value of 9 is > the F critical value of 3.682, therefore reject the equality of means. Knowledge of TQM is not equal across the 3 plants.
	- The F value of 1.326 is < the F critical value of 3.682, therefore do not reject equality of means. Knowledge of TQM is equal across the 3 plants.
	- The F value of 3.419 is < the F critical value of 3.682, therefore do not reject equality of means. Knowledge of TQM is equal across the 3 plants.
	- The F value of 6.349 is > the F critical value of 3.682, therefore reject the equality of means. Knowledge of TQM is not equal across the 3 plants.
	- None of the answers match my calculation.
Hint for Question 15 Test H0: Portland = Houston = Jacksonville at = 0.05. What Data Analysis procedure is used to test equality of three population means? Take care to use the Labels checkbox correctly. If the Input Range includes the data labels, check the Labels checkbox. If the Input Range does not include the data labels, do not check the Labels checkbox. It is recommended that you include the data labels in the Input Range and check the Labels checkbox. Verify that the input significance level alpha is correct. Compare the F and F crit values. What is the rule for rejecting H0: Equal means?

Question 16ANOVA - 2

DATA:

Manufacturer
A	B	C	D
25	23	25	26
23	21	25	27
21	23	25	26
23	24	21	24

To test whether the mean time to mix a batch of adhesive is the same for machines produced by four manufacturers, TiteBondMax obtainedDATAon the time (minutes) needed to mix the materials. Test whether the machines have equal mean mixing time at =0.05.

Question 16 options:

	- The pvalue 0.0001 is extreme evidence that the machines are not all the same.
	- The data provide weak evidence against H0: Equal means at pvalue 0.072. Equality of means remains plausible.
	- The data provide insignificant evidence against H0: Equal means at pvalue 0.514. The machine are considered equal.
	- The data provide strong evidence against H0: Equal means at pvalue 0.013. The mixing machines are not all equal.
	- None of the answers match my calculation.
	- The data provide extreme evidence against H0: Equal means at pvalue 0.001. The mixing machines are not all equal.
Hide hint for Question 16

Test H0: Equal mixing times at = 0.05. What Data Analysis procedure is used to test equality of three population means? Take care to use the Labels checkbox correctly. If the Input Range includes the data labels, check the Labels checkbox. If the Input Range does not include the data labels, do not check the Labels checkbox. It is recommended that you include the data labels in the Input Range and check the Labels checkbox. Verify that the input significance level alpha is correct. Compare the F and F crit values. What is the rule for rejecting H0: Equal means? We state that the evidence against H0 is Extreme when p value < 0.001 Overwhelming when 0.001 p value < 0.01 Strong when 0.01 p value < 0.05 Weak when 0.05 p value < 0.10 Insignificant when 0.10 p value

Question 17 Pivot Table

DATA:

Customer #	Eye Condition	Gender
1	Farsighted	Male
2	Bifocals	Male
3	Nearsighted	Male
4	Farsighted	Male
5	Nearsighted	Female
6	Farsighted	Male
7	Farsighted	Male
8	Nearsighted	Female
9	Nearsighted	Male
10	Farsighted	Male
11	Bifocals	Male
12	Farsighted	Female
13	Farsighted	Male
14	Farsighted	Male
15	Farsighted	Male
16	Farsighted	Male
17	Nearsighted	Male
18	Bifocals	Female
19	Farsighted	Male
20	Farsighted	Male
21	Farsighted	Male
22	Bifocals	Male
23	Farsighted	Female
24	Nearsighted	Male
25	Nearsighted	Female
26	Bifocals	Female
27	Nearsighted	Female
28	Farsighted	Female
29	Bifocals	Male
30	Nearsighted	Female
31	Farsighted	Male
32	Bifocals	Female
33	Farsighted	Male
34	Bifocals	Female
35	Bifocals	Female
36	Farsighted	Female
37	Bifocals	Male
38	Farsighted	Male
39	Bifocals	Female
40	Bifocals	Male
41	Farsighted	Male
42	Farsighted	Female
43	Bifocals	Female
44	Farsighted	Female
45	Farsighted	Male
46	Farsighted	Male
47	Bifocals	Female
48	Farsighted	Female
49	Farsighted	Female
50	Bifocals	Male
51	Nearsighted	Male
52	Bifocals	Female
53	Farsighted	Female
54	Farsighted	Female
55	Farsighted	Male
56	Bifocals	Female
57	Farsighted	Female
58	Farsighted	Male
59	Farsighted	Male
60	Nearsighted	Male
61	Farsighted	Female
62	Nearsighted	Male
63	Farsighted	Female
64	Farsighted	Female
65	Bifocals	Female
66	Farsighted	Male
67	Bifocals	Male
68	Farsighted	Female
69	Farsighted	Male
70	Farsighted	Female
71	Bifocals	Female
72	Farsighted	Male
73	Bifocals	Female
74	Farsighted	Female
75	Farsighted	Female
76	Farsighted	Female
77	Farsighted	Female
78	Farsighted	Female
79	Farsighted	Female
80	Farsighted	Female
81	Farsighted	Female
82	Farsighted	Female
83	Farsighted	Female
84	Farsighted	Female

To balance inventory at Otto's Optometry, customer Gender and Eye Condition were collected inDATA.Make a 2x2 pivot table withGender in rows and Eye Condition in columns. The pivot table is

Question 17 options:

Question

Please show which excel formulas to use for any of the below calculations: Question 14 DATA: Valley Foothills 109 82 116 161 106 163 157

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