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ch02 - kpgillespie
ch02 - kpgillespie

Confidence Interval for a Proportion (p)
Confidence Interval for a Proportion (p)

chapter 8 introduction to hypothesis testing
chapter 8 introduction to hypothesis testing

... c. The two research hypotheses that could have produced the null and alternative hypotheses are: The population mean is less than 4,000. The population mean is at least 4,000. ...
Question from Case Studies
Question from Case Studies

... As far as descriptive statistics is concerned, we would be describing and analyzing the data from the sample (that is, the data only from the 12 subjects being tested). Inferential statistics comes in when we use the data from the sample to generalize to a larger population of people. ...
Chapter 7: Confidence Interval and Sample Size Learning Objectives
Chapter 7: Confidence Interval and Sample Size Learning Objectives

... sometime smoker. To see how the smoking rate of the students at a large school district compared to the national rate, the superintendent surveyed two hundred 13 and 14 year old students and found that 23% said they were sometime smokers. Find the 99% confidence interval of the true proportion and c ...
CE902 Lecture 3: Statistics for Research
CE902 Lecture 3: Statistics for Research

Ch_ 8 Student Notes
Ch_ 8 Student Notes

doc - Rossman/Chance
doc - Rossman/Chance

... (b) Use a normal probability plot to decide whether the data has strong deviations from the pattern of a normal distribution. (c) Use technology to determine a 90% one-sample t-interval for these data. Include your output and comment on the validity of this procedure. Provide a one-sentence interpre ...
ISCAM 3: CHAPTER 2 EXERCISES
ISCAM 3: CHAPTER 2 EXERCISES

TI-83/84 Guide for Introductory Statistics
TI-83/84 Guide for Introductory Statistics

confidence interval
confidence interval

Ch 8 – One Population Confidence Intervals σz
Ch 8 – One Population Confidence Intervals σz

Chapter 2 Sets and Counting SOLUTIONS Fill-in-the
Chapter 2 Sets and Counting SOLUTIONS Fill-in-the

Test - FloridaMAO
Test - FloridaMAO

STA218 Inference about a Population
STA218 Inference about a Population

Class 3 Lecture: Descriptive Statistics 2
Class 3 Lecture: Descriptive Statistics 2

Estimating the Value of a Parameter Using Confidence Intervals
Estimating the Value of a Parameter Using Confidence Intervals

... The news release isn't saying that the average of time spent for all employed persons is 7.6 hours per day they're referring to those in the sample of 12,250 individuals in the study. Both of these examples are called point estimates. 50%, for example, is the point estimate for the percentage of all ...
Appendix One: Matlab scripts
Appendix One: Matlab scripts

Annotated Clicker Questions
Annotated Clicker Questions

Topic - University of Oklahoma
Topic - University of Oklahoma

... Note: (E), (F), and (G) are all included as options so that students are less able to answer correctly without actually understanding what the correct answer is. (A) A parameter is typically indicated with a letter from the Greek alphabet (such as  for a population mean) and a statistic is typicall ...
here - BCIT Commons
here - BCIT Commons

CH9: Testing the Difference Between Two Means, Two Proportions
CH9: Testing the Difference Between Two Means, Two Proportions

Elementary Business Statistics
Elementary Business Statistics

also call the H test
also call the H test

Lecture Notes #2: Introduction to Analysis of Variance 2-1
Lecture Notes #2: Introduction to Analysis of Variance 2-1

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Student's t-test

A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution if the null hypothesis is supported. It can be used to determine if two sets of data are significantly different from each other, and is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution.
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