please use graph if needed

Post by **answerhappygod** » Wed May 04, 2022 1:33 pm

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III. we reject as false). Hypotheses (i.e. the two explanations of your research results) A. Two-tailed (non-directional research question) 1. Alternative hypothesis (H₁): The independent variable (i.e. the treatment) does make a difference in performance. 2. Null hypothesis (Ho): The independent variable (i.e. the treatment) does not make a difference in performance. B. One-tailed (directional research question) 1. Alternative hypothesis (H₁): The treatment has an increased (right tail) or a decreased (left tail) effect on performance. 2. Null hypothesis (Ho): The treatment has an opposite effect than expected or no change in performance.
non-treatment Step 1: Diagram your study (noting the data you are given) n = ? M = ? s = ? Step 2: Create a table of calculations for each of the terms which you will need to solve the formulas (if needed) x² (data for sample) Σ= Σ= [(x)²= Population H = ? 0 = ? treatment population before tx sample after IV tx The independent variable is being manipulated with two treatments (hint: with an abstract problem like this, sometimes it helps to put in a real treatment, such as IV Pain Relievers with tx Ibuprofen and tx non-treatment) Single Sample z test Diagram Sample 2 explanations of your data (using directional or non-directional language depending on the research question) H₁: IV had an effect H: IV had no effect (all results are due to chance primarily through sampling error) Sıla Step 3: Using Part IV of formula sheet, determine the critical value(s) Two-tailed test: both tails One-tailed test: left or right tail high high "and" half a full at 2 outcomes 2 decisions High Prob. (easy) Accept Ho (due to chance) α = .05 Low Prob. (hard) Reject H, & Accept H₂ (due to real effect) Step 5: Compare critical z to the calculated z & make a decision about the Ho hypothesis Step 6: Report results professionally (see last step of formula sheet) single sample z test Prob. calcul ation Step 4: Calculate the z statistic 1. Oms 2. Z= m-p m low Jow low