Overview. The data for this assignment comes from a study published in the journal Psychological Science in 2015 (Atir,

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answerhappygod
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Overview. The data for this assignment comes from a study published in the journal Psychological Science in 2015 (Atir,

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Overview. The data for this assignmentcomes from a study published in the journal PsychologicalScience in 2015 (Atir, Rosenzweig, & Dunning, 2015).The researchers were interested in particular type ofoverconfidence is called overclaiming. Essentially,overclaiming occurs when people claim that they know something thatis impossible to know, such as claiming to know the capital ofSharambia (a country that doesn’t actually exist). In theirresearch, Atir et al. (2015) began with an established fact:experts simply know more about a topic than do non-experts. Intheir research, the researchers wanted to test if experts aresusceptible to overclaiming.
Research Method. Atir, Rosenzweig, andDunning (2015) recruited 202 individuals from an online participantpool. Participants were assigned to one of two conditions.Participants in one condition were first asked to complete aquestionnaire of self-perceived knowledge and then an overclaimingtask. The participants in the other condition first completed theoverclaiming task and the completed the self-perceived knowledgequestionnaire. The self-perceived knowledge questionnaire askedpeople to indicate their level of knowledge in the area of personalfinance. The overclaiming task asked participants to indicate howmuch they knew about 15 terms related to personal finance (e.g.,home equity). Included in the 15 items were three terms that do notactually exist (e.g., annualized credit). Thus, overclaimingoccurred when participants said that they were knowledgeable aboutthe non-existent terms. Overclaiming was measured as a proportion(ranging between 0 and 1 with higher numbers indicating moreoverclaiming). Finally, participants completed a test of financialliteracy called the FINRA. Whereas the self-perceived knowledgequestionnaires measured self-perceived knowledge, the FINRAmeasured actual knowledge.
Data Analysis:
You want to determine whether the average scores forself-perceived knowledge and actual knowledge differ. Run theappropriate test and interpret the results. That is, formulateH0/H1, report the actual p-value, indicate whether this p-value issignificant, link it back to H0/H1, and then state yourconclusion.
Which Test should I use? Two-sample test? Paired-sample? One-wayANOVA?
Simple correlation? simple regression? Multipleregression?
What's H0 and H1?
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