Computers & Education 48 (2007) 301–317 www.elsevier.com/locate/compedu Gender and cultural differences in Internet use: A study of China and the UK Nai Li a‚ Gill Kirkup a b‚* Faculty of Education and Language Studies‚ The Open University‚ Walton Hall‚ Milton Keynes MK7 6AA‚ UK b Institute of Educational Technology‚ The Open University‚ Walton Hall‚ Milton Keynes MK7 6AA‚ UK Abstract This study investigates differences in use of‚ and attitudes toward the Internet and computers generally
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established‚ the error correction model (ECM) is estimated. The two series‚ however‚ must be of the same integrating order‚ namely I(1)‚ before we can test for co-integration. There are three formal tests to determine integrating order; The Dickie-Fuller (DF) test‚ the Augmented Dickie-Fuller (ADF) test and the Phillips-Perron test. Watson and Teelucksingh (2002) states the
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9Profit 1 3854 116.67 283.665 4.569 0 27780 110.79 271.301 1.628 Independent Samples Test Levene’s Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference Lower Upper 9Profit Equal variances assumed 19.637 .000 1.254 31632 .210 5.881 4.690 -3.312 15.073 Equal variances not assumed 1.212 4882.059 .225 5.881 4.851 -3.629
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Statistics Respondent’s sex N Mean Std. Deviation Std. Error Mean Hours per day watching TV Male 382 3.01 2.648 .135 Female 524 3.00 2.497 .109 Independent Samples Test Levene’s Test for Equality of Variances t-test for Equality of Means F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper Hours per day watching TV Equal variances assumed .221 .638 .068 904 .946 .012 .172 -.327 .350 Equal variances not assumed .067 792
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EXERCISE 29 Questions to be Graded 1. Were the groups in this study independent or dependent? Provide a rationale for your answer. The two groups were independent since they were formed based on gender with no intent to match subjects on any variable. The men and women selected didn’t share any relationship or live in the same location. 2. t = −3.15 describes the difference between women and men for what variable in this study? Is this value significant? Provide a rationale for your answer
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is the heat rate. It is one sample t- test. One-Sample Statistics | | N | Mean | Std. Deviation | Std. Error Mean | HEATRATE | 67 | 11066.43 | 1594.960 | 194.855 | One-Sample Test | | Test Value = 10000 | | t | df | Sig. (2-tailed) | Mean Difference | 95% Confidence Interval of the Difference | | | | | | Lower | Upper | HEATRATE | 5.473 | 66 | .000 | 1066.433 | 677.39 | 1455.47 | Since SPSS reports the P-value on the basis of a two-tailed
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The Effects of the Mychorrizal Inoculum‚ Rhizophagus Irregularis‚ on the Growth of the Rapid Grow Radish‚ Brassica rapa ABSTRACT Mycorrhizae can be described as a symbiotic relationship between a fungus and a plant where both the fungus and the plant benefit from this interaction. Endomycorrhizae and ectomycorrhizae are the two main types of mycorrhizae that produce the same overall results‚ but with different fungal characteristics. This study examines the effects of mycorrhizae on the growth
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Chapter 12 Simple Linear Regression Case Problem 1: Measuring Stock Market Risk a. Selected descriptive statistics follow: Variable N Mean StDev Minimum Median Maximum Microsoft 36 0.00503 0.04537 -0.08201 0.00400 0.08883 Exxon Mobil 36 0.01664 0.05534 -0.11646 0.01279 0.23217 Caterpillar 36 0.03010 0.06860 -0.10060 0.04080 0.21850 Johnson & Johnson 36 0.00530 0.03487 -0.05917 -0.00148 0.10334
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| | | 25 | 0 | 0 | 27 | 2 | 4 | 25 | 0 | 0 | 23 | -2 | 4 | 24 | -1 | 1 | 25 | 0 | 0 | 26 | 1 | 1 | 25 | 0 | 0 | x= 200 S2=10/7= 1.42857 S2M=S2/N=10÷7/8=0.17857 SM=Sm2= 0.422577 Step 3. (=.025‚ DF=7) =2.365 =.05 /2= .025 (two tailed test) So if the sample > 1.895 We reject H0 Step 4. Sample = 2.366 Step 5. Since 2.66>2.365 we will reject the null hypothesis/HO Part B. . The results show that the average
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Impact of Service Quality on Customer Satisfaction of Mobile Users – A Case Study of Airtel ISSN 2319-9725 Dr. Rajesh K. Yadav Associate Professor & H.O.D. Department of Management RKDF College of Engineering‚ Bhopal‚ India Mr. Nishant Dabhade Assistant Professor‚ Department of Management RKDF College of Engineering‚ Bhopal‚ India Abstract: Qualitative services deregulation or free competition and new technology have increased competition and widened the range of network services available throughout
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