correct. h) T F For the Hypergeometric distribution the value of p changes each time an object is selected. i) T F Heights of adult males is a good example of the Poisson distribution. j) T F When children give their age, it’s continuous; for adults it’s integer. k) T F If a LUMAT template cell is colored, you can enter data or labels. l) T F The Box and Whiskers template gives indicators of data being normal, uniform or exponential. m) T F Goodness
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Data Selection (refer to Excel sheets: Scatter1 and Scatter2) We used Excel to draw a scatter plot to see the relationship between price and carat. The data presented two different groups of data: 1) Diamonds at low prices with low carat and (2) diamonds at high prices with high carat weight. The data with the diamonds at low prices and low carat is irrelevant so we excluded that portion of the data which had prices under $1000. Selected data to run the regression Selected data to run the
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STAT1029 - Lecture 7 Supplementary Notes Dr. Erwin George, School of Computing and Mathematical Sciences, University of Greenwich September 19, 2012 Dr. Erwin George, Dept. of Mathematics STAT1029 TIPS Invest time learning the language of Mathematics/Statistics/Computing (with all of its special cases and exceptions and conventions). Dr. Erwin George, Dept. of Mathematics STAT1029 TIPS Invest time learning the language of Mathematics/Statistics/Computing (with all of its
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is more than 716.5 d) IQR = Q3 -Q1 = 716.5-393 = 323.5 ($’000) The middle 50% of my data are falling between 393($’000) and 716.5($’000) T0ask 4 a) Column1 | | | Mean | 551.211 | Standard Error | 34.573 | Median | 466.000 | Mode | 710.000 | Standard Deviation | 231.926 | Sample Variance | 53789.642 | Kurtosis | -0.162 | Skewness | 0.459 | Range | 1068.000 | Minimum | 112.000 | Maximum | 1180.000 | Sum | 24804.500 | Count | 45.000 | b)
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BUSN311-1302A-02 Quantitative Methods and Analysis Unit 3 DB Leah Murray May 13, 2013 While determining a sample size, the researcher would first need to know how many people, otherwise how many animals would be required because if you do not have enough sample size then it will have an cause on the general study conclusion (2006). The arithmetical power, P level as well as the treatment including the error variability is the factors otherwise; it would be the parameters in order to aids the
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from the different field of respect just to maintain or uplift more their status. Also, as a university system St. Paul set a particular standard to all of the branches in terms of hiring a quality teachers and putting a middle managers with good qualification which can outsource from the outside industry. The sentiment of Mr. Vibiesa is what we called a normal practice in a private institution, in which they are maximizing the function of their people to reduce the expense of salary so as not
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Statistics Multiple R 0.069642247 R Square 0.004850043 Adjusted R Square -0.00471871 Standard Error 0.893876875 Observations 106 ANOVA df SS MS F Significance F Regression 1 0.404991362 0.404991 0.50686 0.478094147 Residual 104 83.09765015 0.799016 Total 105 83.50264151 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 5.506191723 0.363736853 15.13784 4
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Multiple R | 0.252916544 | R Square | 0.063966778 | Adjusted R Square | 0.045966139 | Standard Error | 0.390066747 | Observations | 54 | ANOVA | | | | | | | df | SS | MS | F | Significance F | Regression | 1 | 0.540685116 | 0.540685116 | 3.553583771 | 0.065010363 | Residual | 52 | 7.911907477 | 0.152152067 | | | Total | 53 | 8.452592593 | | | | | Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | Intercept
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SAVE EDIT VIEW SELECT CASES 1 3 2 6 4 5 7 3 TRANSFORM : Compute ALL CASES DELETE BMI = wt(kg)/ht(m)2 TRANSFORM : Recode BMI Categorize TRANSFORM : Recode BMI_gp : 1. Underweight =23 BMI_gp 1. Underweight 2. Normal 3. Overweight 1 DESCRIPTIVE STATISTICS 6th basic data 2 2 3 9 4 6 8 5 7 4 OUTPUT Statistics N Valid Missing gender 10 0 race 10 0 gender Frequency 5 5 10 Percent 50.0 50.0 100.0 race Frequency 6 3 1 10 Percent 60
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charges and number of days stay at the hospital, is from the Bryant/Smith Case 42 Hospital Charges (Appendix 1). As described in the case, the hospital’s revenues are determined largely by the patients’ insurance coverage. The data being used are for normal delivery of babies. The null hypothesis test states that there is no relation between the patients with managed care insurance and patients with commercial insurance. This means there is no difference between the patients with either insurance. The
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