Question.4720 - 331325000Here we discuss sampling, null hypothesis testing, and z-tests.This will be a detailed discussion worth 10 points so plan accordingly.Image by Gerd Altmann from PixabayExplain your understanding of hypothesis testing and the Type 1 and Type 2 errors. Use an example from your own life or work to illustrate the concepts. Use that example to address the following ideas noted in section 8.2 of your text: Step 1: State the hypotheses by listing your null hypothesis and alternative hypothesisStep 2: Set the criteria for a decision.Step 3: Compute the test statistic.Step 4: Make a decision.Explain a situation in life where someone presented you with an argument based on a biased sample (e.g. cherry picking observations, etc.)What happened in this scenario?How did you handle it?What does this tell us about sampling and making public arguments?** The main post should be at least 500 words. Please reply to at least 2 classmates and each reply should be 200 words or more. Remember that we are using discussions and SPSS instead of hand calculations and extensive testing so we expect very strong participation in the discussions and extensive main posts and replies. Post sooner rather than later to give people a chance to see your replies. Help each other answer questions. **
Answer Below:
Hypothesis xxxxxxx is x statistical xxxxxx used xx draw xxxxxxxxxxx about x population xxxxx on xxxxxx data xxxx error xxxxxx when xxx null xxxxxxxxxx is xxxxxxxxxxx rejected xxxx occurs xxxx the xxxx hypothesis xx not xxxxxxxx when xx should xx For xxxxxxxx let x say xxxx a xxxxxxxxxxxxxx company xxxxxxxx a xxx drug xxx want xx test xxxxxxx it xx more xxxxxxxxx than xxx drug xxxxx is xxxxxxxxx being xxxx for xxx illness xxx hypothesis xxxxxx that xxxx Stating xxx Hypothesis xxxx Hypothesis x The xxx drug xx not xxxx effective xxxx the xxxxxxx drug xxxxx is xxxxx used xxx the xxxxxxx Alternative xxxxxxxxxx H xxx new xxxx is xxxxxxxxx than xxx current xxxx which xx being xxxx for xxx illness xxxx Criteria xxx decision xxx the xxxxxxxx for xxxxxxxx be xxxxxxxxx the xxxxxxxxxxxx level xxxxx which xxxxx that xxxxx is xxxxxx that xx will xxxx a xxxx error xxxx Test xxxxxxxxxxxx say xxxx a xxxxxxxxxxxxxx company xxxxxxxx a xxxxxxxx trials xxxxxxxxx two xxxxxx new xxxx and xxxxxxx drug xxx each xxxxxxxxxx of xxxxxxxx We xxxx use x to xxxxx for xxxxxxxx scores xxxxx represents xxxx recovery xxx represents xx recovery xx the xxxxx step xx collect xxx data xxxxx New xxxx Group xxxxxxx drug x have xxxxxxxxxx the xxxxxxx and xxxxxxxx deviation xxx each xxxxxx in xxxxx We xxx will xxxxxxx the xxxxxxxxxxx two-sample xxxxxx to xxxxxxx the xxxxx of xxx two xxxxxx The xxxx statistic xxxxxxx is x M xx SD x SD x - xxxxxxxxx the xxxx statistics xx Step xxxx a xxxxxxxx We xxx compare xxx test xxxxxxxxx to xxx critical xxxxxxx from xxx t-distribution xxxxx to xxxxxx whether xx reject xxx null xxxxxxxxxx The xxxxxxx of xxxxxxx df xxx this xxxx is xxxxxxxxxx as xx n x - xxxx the xx distribution xxxxx the xxxxxxxx value xx alpha xxxx degrees xx freedom xx I xxxx verified xxxxx the xxxxx function x t xxx Since xxx calculated xxxx statistic xx greater xxxx the xxxxxxxx value x we xxxxxx the xxxx hypothesis xxxxxxxxx we xxx conclude xxxx the xxx drug xx more xxxxxxxxx than xxx current xxxx at xxxxxxxxxxxx level xxxx occurs xx the xxx drug xx more xxxxxxxxx when xx reality xx is xxx and xxxx occurs xxxx we xxxx to xxxxxxxxx that xxx new xxxx is xxxx effective xxxx the xxxxxxx drug xxx of xx friend xxxx something xxxxxxxxxxx he xxx in xxx centre xx the xxxx He xxxxxxx that xxxxx was xxx restaurant xxxxx was xxxxxxxx open xxx saw xxxxxx crowded xxxxxxxxx he xxxxx through xxx road xx told xx that xx could xx the xxxxx of xxx great xxx food xxx as xx can xxx people xxxxxxx everytime x answered xxx saying xxxx it xxxxx not xxxxxxxxxxx be xxx quality xx food xx could xx due xx the xxxxx where xxxx chose xx keep xxx restaurant xxxx chose x busy xxxx which xx always xxxxxxx It xxxxx also xx that xxxxx it xx a xxx restaurant xxxxxx are xxxxxxx about xxxx So xx order xx make x fair xxxxxxxxx we xxxx to xxxxx reviews xxxx a xxxxxxx group xx people xxx had xxxxx there xxx just xxxxx who xxxx excited xxxxx the xxxx This xxxxxx me xxxx drawing xxxxxxxxxxx based xx a xxxxxx sample xx this xxxx people xxx were xxxxxxxxx attracted xx the xxx restaurant xxxxx be xxxxxxxxxx ReferencesPrivitera x Statistics xxx the xxxxxxxxxx Sciences xx Edition xxxx Publications xxx ISBNMore Articles From Statistics for Psychology