"Statistical hypothesis testing" Essays and Research Papers

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    Math 533

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    years lived in the current home is less than 13 years d. The average (mean) credit balance for suburban customers is more than $4300 I will analyze the speculated data listed above by performing hypothesis test for each of the above situations (using the Seven elements of a Test Hypothesis with a=.05) in order to see if there is evidence to support my manager’s beliefs in each case (a-d)‚ explain my conclusion in simple terms‚ compute the p-value with the interpretation‚ follow up with computing

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    Juvenile Incarceration

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    Measurement A research sample consisting of 41 incarcerated juveniles was selected for this study. (Sample size n=41). Total population of the juvenile facility (name) Null and Alternative Hypothesis The null hypothesis is that parental incarceration does not affect juvenile incarceration. The alternative hypothesis is that parental incarceration does affect juvenile incarceration. Ho = parental incarceration does not affect juvenile incarceration H1 = parental incarceration does affect juvenile

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    related samples t test. 2. Identify the independent (grouping) and dependant (response) variables important to study 3. Explain whether an independent sample or related sample t test is appropriate and why 4. Generate a hypothesis‚ including null and alternative hypothesis 5. Describe what information the effect size will tell you and what information the effect size will tell you and what information the p value or critical value approach will not 6. Using realistic numbers for the degrees

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    Coors Light

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    Executive Summary - Coors’ prominence in the beer industry has always been overshadowed by its bigger competitors like Budweiser‚ Miller and Molson‚ but new insights unearthed by this report may pave new roads for a more exciting future. The first part of our analysis describes the typical Coors drinker as an aged 25 to 44 male light beer drinker consuming almost seven bottles a week. He also works in a managerial or professional occupation earning over $30‚000 annually. Coors’ three competitors

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    Math 533 Part B

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    PROJECT PART B: Hypothesis Testing and Confidence Intervals Math-533 Applied Managerial Statistics Prof. Jeffrey Frakes December 8‚ 2014 Jared D Stock A.) The average (mean) annual income was greater than $45‚000 Null Hypothesis: The average (mean) annual income is greater than or equal to $45‚000. Ho: u > $45‚000 Alternative Hypothesis: The average (mean) annual income was less than $45‚000 Ha: u < $45‚000 I will use a = .05 as the significance level‚ and observing the

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    Case Study Corrected

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    1) Conduct a hypothesis test for each sample at the .01 level of significance and determine what action‚ if any‚ should be taken. Provide the test statistic and the p-value for each test. At 0.01 level of significance │Zᾳ/2 │ = 2.58 Reject Ho when │Z│> │Zᾳ/2 │ Sample 1 Sample 2 Sample 3 Sample 4 SAMPLE MEAN 11.958 12.028 11.889 12.081 POPULATION MEAN 12 12 12 12 SAMPLE STANDARD DEVIATION 0.22 0.22 0.20 0.20 SAMPLE SIZE 30 30 30 30 Z -1.028 0.712 -2.935 2.161 RESULT ACCEPT ACCEPT REJECT ACCEPT

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    The Relationship between a Students Social Lifestyle and First Year Average Exam Grade Alternate Hypothesis: There is a relationship between a Students social lifestyle and their first year average exam grades Null Hypothesis: There is no relationship between a Students social lifestyle and first year average exam grades Introduction The aim of my investigation is to find a significant relationship between a student’s first year academic grades and his or her social lifestyle. I can relate myself

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    Poisson Regression

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    Poisson Regression This page shows an example of poisson regression analysis with footnotes explaining the output. The data collected were academic information on 316 students. The response variable is days absent during the school year (daysabs)‚ from which we explore its relationship with math standardized tests score (mathnce)‚ language standardized tests score  (langnce) and gender . As assumed for a Poisson model our response variable is a count variable and each subject has the same length

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    good way to advertise. d) Most of the population in Brasov believes that internet advertising is aggressive. e) A big part of the population in Brasov would decide to purchase a product‚ following an Internet advertising campaign. II.2. Statistical Assumptions H0: At least 55% of the interviewed consider that Internet advertising is invasive. H1: Less than 55% of the interviewed consider that Internet advertising is invasive. H0: Up to 65% of people from Brasov believe that the Internet

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    Exercise 27 5. In the legend beneath Figure 2[->0]‚ the authors give an equation indicating that systolic blood pressure is SBP = 43.2 + 0.17x. If the value of x is postnatal age of 30 hours‚ what is the value for Ŷ or SBP for neonates ≤1‚000 grams? Show your calculations. Y = a + bx 43.2 + 0.17(30) = 48.3 The SBP for neonates ≤1‚000 grams at 30 hours is 48.3. 6. In the legend beneath Figure 2[->1]‚ the authors give an equation indicating that systolic blood pressure is SBP = 50.3 + 0.12x

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