YOU HAVE REACHED THE FINAL OBJECTIVE OF THE COURSE

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YOU HAVE REACHED THE FINAL OBJECTIVE OF THE COURSE CONGRATULATIONS!! YOU HAVE REACHED THE FINAL OBJECTIVE OF THE COURSE

Section 12.1: Tests of Population Means AP STAT Section 12.1: Tests of Population Means EQ: What is the difference between a one-sided hypothesis test and a two-sided hypothesis test?

RECALL: Statistical Inference Part I Confidence Interval uses probability to estimate a parameter point (µ or p) within an interval of values

RECALL: As sample size increases, margin of error decreases.

Statistical Inference Part II: Significance Tests – uses probability to compare observed data with a hypothesis whose truth we want to assess Hypothesis – numerical value making a statement about a population

always “ = “ H0:  = ____ H0 represents a single value Null Hypothesis – statement being tested H0 represents a single value always “ = “ H0:  = ____

Ha:  > ____ Ha:  < ____ Alternate Hypothesis – claim about population for which we are trying to find evidence Ha represents a range of values one-sided Ha:  > ____ Ha:  < ____

two-sided Ha:  ≠ ____ two-sided --- results in either of two directions are considered extreme

p-value – probability that observed outcome takes a value as extreme or more extreme than that actually observed Sampling Distribution of a Test Statistic: test statistic H0

In class p. 745 #1a) #1b)   #2a) #2b) 1%

Statistically Significant --- p-value is as small or smaller than specified α level

Larger p-value  evidence to fail to reject H0; though not enough evidence to conclude Ha Smaller p-value evidence to reject H0; enough evidence to possibly conclude Ha

ONLY “FAIL TO REJECT IT” NEVER “ACCEPT” H0   ONLY “FAIL TO REJECT IT” Burden of Proof lies on Ha. H0 is innocent until proven guilty.

Day 59 Agenda:

AP STAT EXAM Scoring Rubric for Significance Testing:

See Template for Significance Testing:

State: In class p. 754 Use Handout #5 (I will give you the summary statistics.) State: H0 : Ha : µ = 1200 mg µ < 1200 mg the true mean calcium intake for females 18 to 24 years old is 1200 mg the mean calcium intake for females 18 to 24 years is less than 1200 mg

Plan: In class p. 754 Follow Template #5 (I will give you the summary statistics.) Plan: Parameter of Interest: µ = true population mean daily calcium intake for women age 18 to 24 years old Choice of Test: 1-sample t-test for means

Conditions: Randomness --- The problem does not state the 38 women were randomly selected. However no reason to assume these women are not representative of population of all women 18 to 24 years old. Independence --- all women age 18 to 24 > 10(38) Condition met Large Counts --- n = 38 38 > 30 CLT says sample size large enough to use Normal approximation.

Calculations:

Calculations: -3.95

Conclusion: Since the p-value of 0.00017 is less than the significance level α = 0.05, we have evidence to reject the null hypothesis. We have evidence that it may be plausible for the true mean daily caloric intake of calcium for women 18 to 24 years old to be less than 1200 mg. Our data are statistically significant. *** NOTE: The conclusion must be written in context of the alternative hypothesis.

Practice Worksheet #4: Mean Difference (Matched Pairs)

0 (“there is no difference” ) .7 .2 .9 .8 .6 .1 .3 L1 L2 L3 difference 0 (“there is no difference” ) difference greater than 0 (“ring finger is longer than index finger”) > 0

Parameter of Interest: difference .7 .2 .9 .8 .6 .1 .3 Parameter of Interest: difference Choice of Test: 1 t means

Randomness --- The problem states a SRS of 10 females was taken. .7 .2 .9 .8 .6 .1 .3 Conditions: Randomness --- The problem states a SRS of 10 females was taken. Independence --- all adult female’s left hand > 10(10) Condition met for independence. Large Counts --- The problem states the distribution of finger lengths is normal.

Test Statistic: 10 9 .52 0.05 Conclusion: 10 9 .52 0.05 Conclusion: Since the p-value of 0.0005 is less than the significance level α = 0.05, we have evidence to reject the null hypothesis. We have evidence that it may be plausible for the true population mean difference in length of the ring finger and the length of the index finger on an adult female’s left hand to be greater than zero. Our data are statistically significant. *** NOTE: The conclusion must be written in context of the alternative hypothesis.

In Class Assignment: p. 754 #8 (a & b) Use back of handout for template.

328 256 16 15 0.05 2 2-sided means the p-value comes from both tails 328 256 16 15 0.05 2  ***NOTE: You only calculate area in ONE direction. Inequality is determined by the sign of the test-statistic. Show “double“ the probability to account for both tails. This is just for notation. Calculator gives the doubled p-value when worked for p0 ≠ or μo ≠. p-value is for BOTH tails

328 256 16 15 .95 2.131

HW “Inference Practice Worksheet #5