RQ: Population: Real population mean: Sample: Sample mean: 6 Sampling distribution: 2 Estimated mean = sample mean = 6 Estimated standard error = CONFIDENCE INTERVALS Way for rick to talk about how accurate he is Accuracy in inferential stats Confidence Interval Statements Marginal error statements
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7 Measuring the Size of an Effect: Cohen’s d 8.8 Effect Size‚ Power‚ and Sample Size 8.9 Additional Factors That Increase Power 1 Identify the four steps of hypothesis testing. 2 Define null hypothesis‚ alternative hypothesis‚ level of significance‚ test statistic‚ p value‚ and statistical significance. 3 Define Type I error and Type II error‚ and identify the type of error that researchers control. 4 Calculate the one-independent sample z test and interpret
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and 3 used “descriptive statistics when summarizing data using tools (such as graphs)‚ and statistics (such as mean and standard deviation) * Methods of inferential statistics use sample data to make an inference or conclusion about a population * Two main activities of inferential statistics are using sample data to… * Estimate a population parameters * Such as estimating a population parameter with a confidence interval * Test a hypothesis or claim about a population
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discusses the statistics project‚ Regression to the Mean with Coin Flips. The paper is divided into four parts‚ which are summarized below: Part One: The Questionnaires This section summarizes the results of questionnaires handed out to a random sample of 110 people. Pie charts are provided‚ which reflect the responses to each question. Part Two: 200 Flips This section discusses the outcome of flipping a normal coin two-hundred times. Recorded observations are explained in detail. Part
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proof of concept part of the study is relevant because it establishes the safety of the drug in the target population. Were the design and/or method used introducing biases. If so describe: - A potential bias with the study design is the small sample size. This may have an impact of how the results of the study are interpreted‚ it’s more difficult to find
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and have 3.5 hours to complete the exam. * If you have any problems‚ contact the Help Desk at 800-594-2402. Good Luck! Question 1 Quantitative /Qualitative and Levels of Measurement Question 2 Contingency Table Question 3 Population/ sample Question 4 Hypothesis Testing- either z or t-test Question 5 Z or t- interval question Question 6 Poisson or Binomial question Question 7 Given a set of data points‚ you will have to calculate the descriptive stats- mean‚ median‚ mode‚ st
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statistical techniques to determine whether a process is functioning as desired II. Acceptance Sampling: - the application of statistical techniques to determine whether a population of items should be accepted or rejected based on inspection of a sample of those items. Quality Measurement: Attributes vs Variables Attributes: Characteristics that are measured as either "acceptable" or "not acceptable"‚ thus have only discrete‚ binary‚ or integer values. Variables: Characteristics that are
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ch10 Student: ___________________________________________________________________________ 1. Make this inductive (statistical) syllogism into a relatively strong argument by supplying an appropriate premise or conclusion: Greg must be into all that New Age stuff since he wears his hair in a ponytail. 2. Make this inductive (statistical) syllogism into a relatively strong argument by supplying an appropriate premise or conclusion: People who go to Burning Man are not like you and me.
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(1). Incomplete or misleading reporting of survey or product testing results; (2).Reporting only the percentage of survey respondents answering in a given way (for example‚ “55% of those surveyed said....”) but not the absolute numbers or the sample size; (3). Misleading specification of the competitors tested in reported comparative tests; (4). Using survey techniques that confuse respondents or bias their answers‚ but not revealing the questions and interview procedure. Sometimes corporate
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THE TABLE SHOWS THE LIFETIMES UNDER CONTROLLED CONDITIONS‚IN HOURS IN EXCSS OF 1000 HRS‚ OF SAMPLES OF 60w ELECTRIC LIGHT BULBS OF THREE DIFFERENT BRAND BRAND 1 2 3 16 18 26 15 22 31 13 20 24 21 16 30 14 24 24 SUMMARIZE DATA BRAND 1 2 3 SAMPLE SIZE 5 5 5 SUM 80 100 135 SUM OF SQUARES 1316 2040 3689 MEAN 16 20 27 VARIANCE 9 10 11 SINCE EACH OF THESE THREE SAMPLE VARIANCES IS AN ESTIMATE OF THECOMMON POPULATION VARIANCE . A POOLED ESTIMATE MAY BE CALCULATED
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