Week 7 Midweek Assignment Compute a t -test comparing males\' and females\' heig

Question

Week 7 Midweek Assignment

Compute a t-test comparing males' and females' heights. You must determine which type of t-test to compute.

Move your output into a Microsoft Word document and write a one-paragraph, APA-formatted interpretation of the results.

DATA TOOLS SU PSY2008 W1 A2_Aleksandrova E- Minitab Express HOME DATA GRAPHSSTATISTICS C2 C5 Sex Height Z-score for Age Z-score for height Age mean Height mean SD of age SD of height 1.45190563 closest to the lower 2.5% cutoff (-1.645) closest to the lower 2.5% cutoff and the upper 2.5% cutoff closest to the lower 2.5% cutoff (-1.645) closest to the upper 2.5% cutoff (1.645) closest to the upper 2.5% cutoff (1.645) closest to the upper 2.5% cutoff (1.645) closest to the lower 2.5% cutoff and the upper 2.5% cutoff closest to the lower 2.5% cutoff (-1.645) closest to the lower 2.5% cutoff and the upper 2.5% cutoff closest to the upper 2.5% cutoff (1.645) closest to the lower 2.5% cutoff (-1.645) closest to the lower 2.5% cutoff and the upper 2.5% cutoff closest to the lower 2.5% cutoff (-1.645) closest to the lower 25% cutoff (-1645) closest to the upper 2.5% cutoff (1.645) closest to the upper 2.5% cutoff (1.645) closest to the lower 2.5% cutoff and the upper 2.5% cutoff closest to the lower 2.5% cutoff and the upper 2.5% cutoff closest to the lower 2.5% cutoff and the upper 2.5% cutoff closest to the upper 2.5% cutoff (1.645) closest to the upper 2.5% cutoff (1.645) closest to the lower 2.5% cutoff (-1.645) closest to the upper 2.5% cutoff (1.645) closest to the lower 2.5% cutoff and the upper 2.5% cutoff ! closest to the upper 2.5% cutoff (1.645) closest to the lower 2.5% cutoff (-1.645) closest to the upper 2.5% cutoff (1.645) closest to the lower 2.5% cutoff and the upper 2.5% cutoff closest to the upper 2.5% cutoff (1.645) closest to the upper 2.5% cutoff (1.645) closest to the lower 2.5% cutoff (-1.645) closest to the lower 2.5% cutoff and the upper 2.5% cutoff closest to the lower 2.5% cutoff and the upper 2.5% cutoff closest to the upper 2.5% cutoff (1.645) closest to the lower 2.5% cutoff (-1.645) closest to the lower 2.5% cutoff (-1.645) closest to the upper 2.5% cutoff (1.645) closest to the lower 2.5% cutoff and the upper 2.5% cutoff closest to the upper 2.5% cutoff (1.645) closest to the upper 2.5% cutoff (1.645) 63-1.40493 67-1.40493 63-0.6351 69-1.40493 70-1.40493 1 1.45190563 0.725952813 1 1.451905626 67-1.40493 63-0.6351 67-1.40493 70-1.40493 63-0.6351 67-0.6351 63 0.134719 63-0.6351 69-0.6351 690.134719 670.134719 67-0.6351 67-0.6351 70-0.6351 700.134719 63 0.134719 69 0.134719 67 0.134719 69 0.134719 630.904543 700.134719 670.134719 700.134719 700.134719 63 1.674365 671.674365 670.904542 69 1.674365 63 0.904542 630.904542 69 1.674365 670.904542 69 1.674365 0.7 701.674365- 1 1.45190563 1.08892922 1.45190563 16 Female 1.45190563 1.45190563 0.725952813 0.725952813 16 Female 20 1.08892922 16 Female 16 Female 1.45190563 0.725952813 16 Female 0.725952813 145190563 1.08892922 16 Female 1.08892922 1.08892922 145190563 29 18 Female 0.725952813 145190563 145190563 0.725952813 0.725952813 1.08892922 41 Missin

Explanation / Answer

The p-value is defined as the probability of obtaining a result equal to or "more extreme" than what was actually observed, when the null hypothesis is true. In frequentist inference, the p-value is widely used in statistical hypothesis testing, specifically in null hypothesis significance testing.

If p value <alpha we reject null hypothesis here p value is 1 which is greater than alpha. We accept null hypothesis.

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