Answers to Practice Questions 7.4, 7.10, 7.16 (8.4, 8.10, 8.16)

Slides:



Advertisements
Similar presentations
Topics Today: Case I: t-test single mean: Does a particular sample belong to a hypothesized population? Thursday: Case II: t-test independent means: Are.
Advertisements

12.1 Inference for A Population Proportion.  Calculate and analyze a one proportion z-test in order to generalize about an unknown population proportion.
THE z - TEST n Purpose: Compare a sample mean to a hypothesized population mean n Design: Any design where a sample mean is found.
Single Sample t-test Purpose: Compare a sample mean to a hypothesized population mean. Design: One group.
REVIEW OF BASICS PART II Probability Distributions Confidence Intervals Statistical Significance.
The z-Test What is the Purpose of a z-Test? What are the Assumptions for a z- Test? How Does a z-Test Work?
Hypothesis test with t – Exercise 1 Step 1: State the hypotheses H 0 :  = 50H 1 = 50 Step 2: Locate critical region 2 tail test,  =.05, df = =24.
PPA 415 – Research Methods in Public Administration Lecture 6 – One-Sample and Two-Sample Tests.
Chapter 9: Introduction to the t statistic
COURSE: JUST 3900 Tegrity Presentation Developed By: Ethan Cooper Final Exam Review.
AM Recitation 2/10/11.
Descriptive statistics Inferential statistics
Review of Basic Statistics. Definitions Population - The set of all items of interest in a statistical problem e.g. - Houses in Sacramento Parameter -
Chapter 5. Exercise 1 Fail to reject Ho Exercise 2 Fail to reject Ho.
The Probability of a Type II Error and the Power of the Test
Hypothesis Testing: One Sample Cases. Outline: – The logic of hypothesis testing – The Five-Step Model – Hypothesis testing for single sample means (z.
Hypothesis Testing for Variance and Standard Deviation
381 Hypothesis Testing (Testing with Two Samples-III) QSCI 381 – Lecture 32 (Larson and Farber, Sects 8.3 – 8.4)
Normal Probability Distribution Using Normal Distribution for Probability.
Soc2205a/b Final Review. Healey 1e 8.2, 2/3e 7.2 Problem information:  = 3.3 = 3.8 s =.53 n = 117 Use the 5-step method…. Note: –1 sample, Interval-ratio.
Normal Distribution.
Testing Differences in Population Variances
Chapter 8 Parameter Estimates and Hypothesis Testing.
: An alternative representation of level of significance. - normal distribution applies. - α level of significance (e.g. 5% in two tails) determines the.
Confidence Intervals for a Population Mean, Standard Deviation Unknown.
Sampling Distribution of Differences Between Means.
Correlation. u Definition u Formula Positive Correlation r =
Chapter 9: Introduction to the t statistic. The t Statistic The t statistic allows researchers to use sample data to test hypotheses about an unknown.
SWBAT: -Interpret the t-distribution and use a t- distribution table -Construct a confidence interval when n
 Confidence Intervals  Around a proportion  Significance Tests  Not Every Difference Counts  Difference in Proportions  Difference in Means.
Inferential Statistics Introduction to Hypothesis Testing.
The Single-Sample t Test Chapter 9. t distributions >Sometimes, we do not have the population standard deviation, σ. Very common! >So what can we do?
Independent-Samples t test
Statistical Inferences for Population Variances
Hypothesis Testing for Proportions
Lecture Nine - Twelve Tests of Significance.
Hypothesis Testing: One Sample Cases
Hypothesis Testing I The One-sample Case
Practice Questions for ANOVA
Is this quarter fair?. Is this quarter fair? Is this quarter fair? How could you determine this? You assume that flipping the coin a large number of.
Math 4030 – 10b Inferences Concerning Variances: Hypothesis Testing
Warm UP Read the Perfect Potatoes Example on P. 548
Statistics Chapter 7 Review.
Hypothesis Testing for Proportions
Hypothesis Testing Review
Data Analysis and Interpretation
Hypothesis Testing: Two Sample Test for Means and Proportions
Chapter 14 in 1e Ch. 12 in 2/3 Can. Ed.
What does it mean to say that the results of an experiment are (or are not) statistically significant? The significance level,  (conventionally set to.
Statistical Inference for the Mean Confidence Interval
Problem: If I have a group of 100 applicants for a college summer program whose mean SAT-Verbal is 525, is this group of applicants “above national average”?
Review: What influences confidence intervals?
Inference about Two Means: Independent Samples
Two Sample Hypothesis Tests: Answers to Practice Problems
Hypothesis Testing.
What if. . . You were asked to determine if psychology and sociology majors have significantly different class attendance (i.e., the number of days.
Psych 231: Research Methods in Psychology
What are their purposes? What kinds?
More on Testing 500 randomly selected U.S. adults were asked the question: “Would you be willing to pay much higher taxes in order to protect the environment?”
Extra Brownie Points! Lottery To Win: choose the 5 winnings numbers
Hypothesis Tests with Related Samples
Chi-square problem solutions
Psych 231: Research Methods in Psychology
Practice Did the type of signal effect response time?
Tests of inference about 2 population means
No class on Wednesday 11/1 No class on Friday 11/3
Is this quarter fair?. Is this quarter fair? Is this quarter fair? How could you determine this? You assume that flipping the coin a large number of.
Hypothesis Testing for Proportions
Practice You recently finished giving 5 Villanova students the MMPI paranoia measure. Determine if Villanova students’ paranoia score is significantly.
Presentation transcript:

Answers to Practice Questions 7.4, 7.10, 7.16 (8.4, 8.10, 8.16) Use the decision tree to help decide which test to use!

Healey #7.4/8.4 Problem information: Use the 5-step method….  = 453 = 502 σ = 95 (note: question gives pop’n value) n = 152 Use the 5-step method…. Steps 1 - 3 1 random sample, Interval-ratio Sample is large n ≥ 100, normal z-test Question asks “Is there a significant difference?” 2-tailed test, α=.05, z=±1.96 Ho: H1:

#7.4/8.4 cont. Step 4: Step 5: Zobtained>Zcritical therefore reject Ho The difference is significant and not random chance The first year students’ score is significantly different from the national population (Zobt=6.36, α=.05)

Healey #7.10/8.10 Problem information: Use the 5-step method….  = $130 = $98 s = $5 (question gives sample value) n = 36 Use the 5-step method…. Steps 1 - 3 1 random sample, Interval-ratio Sample is small, n < 100, t-distribution t-test Question asks “Is the a difference significant?” 2-tailed test, df=n-1=35, α=.05, t=±2.042 (more conservative) Ho: H1:

Healey #7.10/8.10 cont. Step 4: Step 5: tobtained>tcritical therefore reject Ho The difference is significant and not random chance Property tax for the sample is significantly different from the national population (tobt=-37.86, df=35, α=.05)

Healey 7.16/8.16 Problem information: Use the 5-step method…. Pu = .18 (18%) Ps = .217 (21.7%) N = 323 Use the 5-step method…. Steps 1 - 3: 1 random sample, Nominal Sample is large n ≥ 100, normal z-distribution (z-test) Question asks “is the difference significant?” 2-tailed test, α=.05, z=±1.96 Ho: Ps=Pu H1:Ps≠Pu

#7.16/8.16 cont. Step 4: Step 5: Zobtained<Zcritical therefore fail to reject Ho The difference is not significant and is random chance There is no significant difference in unemployment rates. note that if a one-tailed test had been used instead (i.e. to test if the sample unemployment rate is higher) then Zcritical=+1.65, and Ho would be rejected!