One Sample T-Test: Determine whether the average satisfaction rating of customers for a product is significantly different from a hypothetical mean of 75. (Hints: The null can be about maintaining status-quo or no difference; If your alternative hypothesis is non-directional (μ≠75), you should use the two-tailed p-value from excel file to make a decision about rejecting or not rejecting null. If alternative is μ < 75, you should use the lower-tailed p-value. For alternative hypothesis μ > 75, you should use the upper-tailed p-value.) H0 = H1= Conclusion: Since the two-tailed p-value is …Two-Sample T-Test: Compare the average sales revenue of two different regions to determine if there is a significant difference. (Hints: The null can be about maintaining status-quo or no difference among groups; if alternative hypothesis is non-directional use the two-tailed p-value from excel file to make a decision about rejecting or not rejecting null) H0 = H1= Conclusion:Paired T-Test: A company implemented a training program to improve employee performance. To evaluate the effectiveness of the program, At the company recorded the test scores of 25 employees before and after the training. Determine if the training program is effective in terms of scores of participants before and after the training. (Hints: The null can be about maintaining status-quo or no difference among groups; if alternative hypothesis is non-directional use the two-tailed p-value from excel file to make a decision about rejecting or not rejecting null) H0 = H1= Conclusion: One-Way ANOVA: Analyze the customer satisfaction scores across four different product categories to determine if there is a significant difference in means.(Hints: The null can be about maintaining status-quo or no difference among groups) H0 = H1= The data for the following tests is provided in Microsoft Excel file on 4 separate sheets. Please conduct these statistical tests on separate sheets of Microsoft Excel. Product Category A81.57594955Product Category BProduct Category CProduct Category D87.4157534989.251827374.6587919780.6460142571.2612046987.8242322483.5667136182.1057516871.6475750199.2463186471.2762258983.4422373482.8469835493.3614737970.8678073185.2808267172.1343829792.0373091874.5077373879.174250887.7181059389.5041324375.931905187.328312274.2627259486.1504196392.6962459686.628336771.6826085780.6331796169.6003424677.3187815787.6147101390.1591527969.2626567492.4412609785.4025739686.8207696172.8108997894.4794458887.337794893.3821664772.5098377590.8938978682.5302232992.8829540884.6476602784.1003758273.6938715788.9585062279.7471040379.6462368987.5503247791.9800335675.4377562190.2722586376.6599831584.5346924668.8728224182.9841152782.0122819882.5437120479.2218148891.1122253582.7362598492.1969585169.9989232686.0413748977.2249495390.8333674867.2761445289.8831951881.0703968593.1751571880.9401489686.7818319982.61103336101.915723976.5847130688.5328658479.8821276694.7223974379.6042941285.052500172.5029960585.4358888776.5936382693.9293524779.4911908795.5850814479.2841530685.6345604684.6319294883.4204629571.7448720387.0099468274.527160787.6920769869.82878579

Statistical Tests1. One-Sample T-TestObjective:To determine if the average customer satisfaction…

Product Category A 81.57594955 Product Category B Product Category C Product Category D 87.41575349 89.2518273 74.65879197 80.64601425 71.26120469 87.82423224 83.56671361 82.10575168 71.64757501 99.24631864 71.27622589 83.44223734 82.84698354 93.36147379 70.86780731 85.28082671 72.13438297 92.03730918 74.50773738 79.1742508 87.71810593 89.50413243 75.9319051 87.3283122 74.26272594 86.15041963 92.69624596 86.6283367 71.68260857 80.63317961 69.60034246 77.31878157 87.61471013 90.15915279 69.26265674 92.44126097 85.40257396 86.82076961 72.81089978 94.47944588 87.3377948 93.38216647 72.50983775 90.89389786 82.53022329 92.88295408 84.64766027 84.10037582 73.69387157 88.95850622 79.74710403 79.64623689 87.55032477 91.98003356 75.43775621 90.27225863 76.65998315 84.53469246 68.87282241 82.98411527 82.01228198 82.54371204 79.22181488 91.11222535 82.73625984 92.19695851 69.99892326 86.04137489 77.22494953 90.83336748 67.27614452 89.88319518 81.07039685 93.17515718 80.94014896 86.78183199 82.61103336 101.9157239 76.58471306 88.53286584 79.88212766 94.72239743 79.60429412 85.0525001 72.50299605 85.43588887 76.59363826 93.92935247 79.49119087 95.58508144 79.28415306 85.63456046 84.63192948 83.42046295 71.74487203 87.00994682 74.5271607 87.69207698 69.82878579

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter1: Fundamental Concepts Of Algebra

Section1.4: Fractional Expressions

Problem 66E

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Related questions

Question

One Sample T-Test: Determine whether the average satisfaction rating of customers for a product is significantly different from a hypothetical mean of 75. (Hints: The null can be about maintaining status-quo or no difference; If your alternative hypothesis is non-directional (μ≠75), you should use the two-tailed p-value from excel file to make a decision about rejecting or not rejecting null. If alternative is μ < 75, you should use the lower-tailed p-value. For alternative hypothesis μ > 75, you should use the upper-tailed p-value.)

H0 =

H1=

Conclusion: Since the two-tailed p-value is …

Two-Sample T-Test: Compare the average sales revenue of two different regions to determine if there is a significant difference. (Hints: The null can be about maintaining status-quo or no difference among groups; if alternative hypothesis is non-directional use the two-tailed p-value from excel file to make a decision about rejecting or not rejecting null)

H0 =

H1=

Conclusion:

Paired T-Test: A company implemented a training program to improve employee performance. To evaluate the effectiveness of the program, At the company recorded the test scores of 25 employees before and after the training. Determine if the training program is effective in terms of scores of participants before and after the training. (Hints: The null can be about maintaining status-quo or no difference among groups; if alternative hypothesis is non-directional use the two-tailed p-value from excel file to make a decision about rejecting or not rejecting null)

H0 =

H1=

Conclusion:

One-Way ANOVA: Analyze the customer satisfaction scores across four different product categories to determine if there is a significant difference in means.(Hints: The null can be about maintaining status-quo or no difference among groups)

H0 =

H1=

The data for the following tests is provided in Microsoft Excel file on 4 separate sheets. Please conduct these statistical tests on separate sheets of Microsoft Excel.

Product Category A
81.57594955
Product Category B
Product Category C
Product Category D
87.41575349
89.2518273
74.65879197
80.64601425
71.26120469
87.82423224
83.56671361
82.10575168
71.64757501
99.24631864
71.27622589
83.44223734
82.84698354
93.36147379
70.86780731
85.28082671
72.13438297
92.03730918
74.50773738
79.1742508
87.71810593
89.50413243
75.9319051
87.3283122
74.26272594
86.15041963
92.69624596
86.6283367
71.68260857
80.63317961
69.60034246
77.31878157
87.61471013
90.15915279
69.26265674
92.44126097
85.40257396
86.82076961
72.81089978
94.47944588
87.3377948
93.38216647
72.50983775
90.89389786
82.53022329
92.88295408
84.64766027
84.10037582
73.69387157
88.95850622
79.74710403
79.64623689
87.55032477
91.98003356
75.43775621
90.27225863
76.65998315
84.53469246
68.87282241
82.98411527
82.01228198
82.54371204
79.22181488
91.11222535
82.73625984
92.19695851
69.99892326
86.04137489
77.22494953
90.83336748
67.27614452
89.88319518
81.07039685
93.17515718
80.94014896
86.78183199
82.61103336
101.9157239
76.58471306
88.53286584
79.88212766
94.72239743
79.60429412
85.0525001
72.50299605
85.43588887
76.59363826
93.92935247
79.49119087
95.58508144
79.28415306
85.63456046
84.63192948
83.42046295
71.74487203
87.00994682
74.5271607
87.69207698
69.82878579

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