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## A t-test is only able to compare two means at a time. A t-test is used to determ

A t-test is only able to compare two means at a time. A t-test is used to determine if there is a statistical significance between the means of two groups. This is one of the many tests used for hypothesis testing. An ANOVA or Analysis of Variance can compare many means at a time and has no set restrictions. This test will inform of a statistical difference between three or more independent groups. An ANOVA is used when there are independent variables or groups and a dependent variable that is continuous. Scenario The scenario used for this discussion are speech-language pathologist (SLP) various communication techniques used to increase the participation of families in the IEP meetings for students with communication related disabilities. The communication techniques used are phone calls emails notes home dojo messages and certified mail. The level of family participation may be directly related to the level of communication from the SLP. The dependent variable or response variable family participation in IEP meetings. The independent variables to be measured or the factors to be considered are SLPs the communication techniques used are phone calls emails notes home dojo messages and certified mail. Conducting an ANOVA would be best suited for this scenario because there are more than three or more groups to compare. This scenario would be considered a 5-way ANOVA as there are five factors and one response variable. Huck S. W. (2012).Reading statistics and research (6th ed.). Boston: Pearson Education Inc. Companion Website -http://www.readingstats.com/Sixth/index.htm

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## A Survey of 30 people to find out if they are left-handed or right-handed, and u

A Survey of 30 people to find out if they are left-handed or right-handed and use the following chart to create a contingency table with the information. Left handed= 6 Right handed = 24 Total Female lefty =4 righty=16 Male lefty Total= 2 righty=8 Answer the following questions about the information in your contingency table: If a person is randomly selected from the survey participants what is the probability that the person will be left-handed? If you randomly choose a female from the people you surveyed what is the probability that she is left-handed? What is the odds ratio of choosing a left-handed female? What is the relative risk of choosing a left-handed female? Example Green Blue Total Cats 40 (A) 20 (B) 60 (A+B) Dogs 30 (C) 40 (D) 70 (C+D) Total 70 (A+C) 60 (B+D) 130 (A+B+C+D) Probability of Green “ (A+C)/(A+B+C+D): 70/130 = 0.54 Probability of Green Cat “ A/(A+B): 40/60 = 0.67 Odds Ratio of Green Cat “ (A/B)/(C/D) or AD/BC: (4040)/(2030) = 1600/600 = 2.67 Relative Risk of Green Cat “ A/(A+C)/B/(B+D): (40/70)/(20/60) = 1.71 Skim through at least one of the following articles on left-handed vs. right-handed people from the Chamberlain Library. Answer the following question: How do the probabilities and percentages for your study compare to those in the study you read? https://search-proquest-com.chamberlainuniversity.idm.oclc.org/nahs/docview/211689160/DB2AB8D1E63B4638PQ/4?accountid=147674 https://search-proquest-com.chamberlainuniversity.idm.oclc.org/nahs/docview/1326739712/DB2AB8D1E63B4638PQ/10?accountid=147674

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## A random sample of 100 felony trials showed a sample mean waiting time between a

A random sample of 100 felony trials showed a sample mean waiting time between arrest and trial = 173 days with a population standard deviation of waiting times = 28 days. Find a 99% confidence interval for the population mean waiting tianswer to two decimal places

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## A researcher studied women with breast cancer to better understand the associati

A researcher studied women with breast cancer to better understand the association between self-rated health and all-cause mortality (Prehn 1996). Women were interviewed twice and survival models were used to assess the association between self-rated health 12 months after breast cancer diagnosis and all-cause mortality. The following results were obtained from three different models: 1) State in words the meaning of the odds ratios for self-rated health in model 2. Be sure to include information on statistical significance. 2) State in words the meaning of the odds ratios for self-rated health in model 3. Discuss what these models show about the role of confounding in the self-rated health/mortality association. Justify your response and state your overall conclusions based on the analyses

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## A Pew Research survey asked 2,373 randomly sampled registered voters their polit

A Pew Research survey asked 2 373 randomly sampled registered voters their political affiliation (Republican Democrat or Independent) and whether or not they identify as swing voters. 35% of respondents identified as Independent 23% identified as swing voters and 11% identified as both. Are being Independent and being a swing voter disjoint i.e. mutually exclusive? Draw a Venn or create a table summarizing the variables and their associated probabilities.Which is easier to input?Which is easier to understand? What percent of voters are Independent but not swing voters?How many voters are in this category? What percent of voters are Independent or swing voters? What percent of voters are neither Independent nor swing voters? Is the event that someone is a swing voter independent of the event that someone is a political Independent?

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## A police officer pulls over an individual that was driving recklessly. The polic

A police officer pulls over an individual that was driving recklessly. The police office is trying to determine if the individual should be arrested for driving under the influence of alcohol. Consider these Hypothesis Statements Ho: The individual is not driving under the influence of alcohol. HA: The individual is driving under the influence alcohol. 1. Please describe a Type I Error in this situation. 2. Please describe a Type II Error in this situation. 3. Which one do you think is worse?

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## A link to the probability example you chose to review for this discussion.( Prob

A link to the probability example you chose to review for this discussion.( Probability When Rolling a Die “ YouTube ) An explanation of how your example demonstrates three of the following concepts related to statistical probability. Relative Frequency Confidence that an event will occur the next time Gamblers fallacy An explanation of how this example strengthened your understanding of statistical probability.

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