coffee shops would be successful (CultureGrams‚ 2007). This paper will discuss the dependent and independent variables of the team ’s study as well as the primary and secondary data used to support the study. The team will state the applicable null and alternate hypotheses as well as the methodology used to test the team ’s hypotheses. An appropriate sample size will be used to ensure that the team arrives with a representative sample that will be sufficient to use when analyzing the sampling
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Birth Order and the Judgmental Functions A Problem Set In Partial Fulfillment of the Requirements in SOCIAL STATISTICS MS. PHLORITA RIDAO Professor Prepared by: SHAHARA A. ABO NORIA B. USMAN AMIL KHARIM BAI ARCA SULTAN April 4‚ 2008 Birth Order and the Judgmental Functions I. Introduction Each individual possesses different sets of characteristics. In this study‚ various characteristics of a person are surveyed to link it with decision making pattern of the
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92 3.35 3.46 3.59 3.65 2.97 3.21 3.65 2.94 3.53 3.65 3.61 3.7 2.91 3.77 3.79 3.59 3.38 3.57 2.97 3.44 3.48 2.99 3.73 2.91 3.78 3.13 3.14 SUMMARY Groups Unemployed Part-time Full-time ANOVA Source of Variation Treatment Error Total Null hypothesis: Alternate hypothesis: Significance level: p-Value Decision: Count 25 45 130 0 0 Sum 82.110 152.050 450.130 0.000 0.000 Average 3.284 3.379 3.463 Variance 0.110 0.085 0.091 SS 0.771 18.158 df 2 197 MS 0.385 0.092 F 4.180 18.928 199 Upper Conf
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Knowledge and social action go together -> produces and is result of social processes. Ontology Epistemology Methodology Positivist Objective stable reality Objective detached observer‚ nomothetic assumptions Experimental‚ quantitative hypothesis testing Interpretive Internal subjective experience Empathetic‚ observer intersubjectivity Interactional‚ interpretation‚ qualitative Constructionist Socially constructed reality‚ discourse Suspicious‚ political‚ observer constructing versions
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variance of health individual is far lower than the individuals with chronic health problem. First‚ we determine if there is any difference in depression means for the three states within the health individuals‚ we have conducted the following hypothesis test‚ with the level of significance 0.05: H0: µ1 = µ2 = µ3 Ha: Not all are equal where: µ1= population mean of depression scores
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The hypothesis is a claim that needs to be investigated. In our case we are investigating if our bottles contain less than sixteen ounces of water. First we look at the NULL hypothesis‚ this is the established value that we accept to use as our parameter. (Ho) We know that sixteen ounces is our accepted parameter. Next we look at the alternative hypothesis. The alternative hypothesis is the claim being tested. (Ha) We start by knowing that there
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population mean. Number of offline users: 27781‚ x1 = 110.79‚ σ1 = 271.301 Number of online users: 3853‚ x2 = 116.67 σ2 = 283.66 Z = (x1-x2)-(µ1-µ2)/Sqrt(σ12/n1+σ22/n2) Null Hypothesis: µ1= µ2 Alternative Hypothesis: µ1 =! µ2 Z = -1.212 and Z-critical at 5% level of significance is +-1.96. Since Z lies in acceptance region‚ the null hypothesis is not rejected. Hence‚ there is no significant difference in profitability of online and offline users. We run a regression run using online/offline being the independent
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bo and b1 are reported in parentheses under the coefficients bo and b1. Y = 5.358 - 0.0052 X (1.380) (0.0030) To test the significance of the relationship‚ a 5% level of significance was adopted. 1. State the direction of the alternative hypothesis used to test the statistical significance of the relationship. Type gt (greater than)‚ ge (greater than or equal to)‚ lt (less than)‚ le (less than or equal to) or ne (not equal to) as appropriate in the box. 2. Use the
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standard error on the table CHARTING AVERAGE BY MONTH CBC ANOVA Compares two or more populations Shows how populations interact Returns the probability- value of p – of an F value occurring by chance Decision rule Reject null hypothesis if the observed F value is greater than the critical F value (table) MAD & MSE Tells the researcher how spread out from the means your group of numbers is. The smaller the value the better. MAD= Σ|eᵢ|/ number of forecasts MSE=
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Practice with p-values Work through these problems with your computer partner and/or instructor. Answers follow the problem set. 1. Suppose we’ve done the computation of the Z test statistic. For each of the following situations determine the p-value that goes along with Z. a. Z = 2.12‚ two-sided test b. Z = 4.55‚ two-sided test c. Z = -1.40‚ lower-tail test 2. Suppose Z = 1.92.Which has a smaller p-value‚ the upper-tail test or the two-sided test? From this‚ is it more likely to have a
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