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Chapter 8 Review with answers
Chapter 8 Review with answers

... needs to be used. The justification is found in checking the conditions needed for a t-interval. The problem stated it was a random sample so we will assume this is sufficient. Since the sample size is slightly under 30, we will still check for the data being roughly normal. Either a boxplot or norm ...
Sampling Distribution Models
Sampling Distribution Models

... A sampling distribution model for how a sample proportion varies from sample to sample allows us to quantify that variation and how likely it is that we’d observe a sample proportion in any particular interval. ...
Using your TI-83/84/89 Calculator: Estimating a Population Mean (σ
Using your TI-83/84/89 Calculator: Estimating a Population Mean (σ

95% confidence intervals
95% confidence intervals

Lecture_Chp21
Lecture_Chp21

Oneway ANOVA
Oneway ANOVA

A Wall Street Journal/NBC News poll asked 2013 adults
A Wall Street Journal/NBC News poll asked 2013 adults

... 4-12: [No. diff from 4ed] The Powerball lottery is played twice each week in 28 states, the Virgin Islands, and the District of Colombia. To play Powerball a participant must purchase a ticket and then select five numbers from the digits 1 through 55 and a Powerball number from the digits 1 through ...
Statistics AP Chapter 10 Review: confidence interval
Statistics AP Chapter 10 Review: confidence interval

... 13. Find the standard error AND margin of error for the given situations: a) Mrs. Skaff conducts a survey and finds that 82 out of 160 students know where the “F” building is on NPHS campus. She wants to find a 95% confidence interval to predict the true proportion of students who know this informa ...
No Slide Title
No Slide Title

COLLOCATIONS II: HYPOTHESIS TESTING
COLLOCATIONS II: HYPOTHESIS TESTING

descriptive statistics
descriptive statistics

Spract5
Spract5

Exposure Assessment: Tolerance Limits, Confidence Intervals and
Exposure Assessment: Tolerance Limits, Confidence Intervals and

Estimates of Population Parameters
Estimates of Population Parameters

Chapter 8 Guided Reading Notes
Chapter 8 Guided Reading Notes

Sampling and Descriptive Statistics
Sampling and Descriptive Statistics

... • Two different samples from the same population will vary from each other as well • This phenomenon is known as sampling variation ...
z-scores
z-scores

... The Central Limit Theorem ...
Lecture4
Lecture4

Sampling and Descriptive Statistics
Sampling and Descriptive Statistics

Lecture Slides for Elementary Statistics: Looking at the Big Picture
Lecture Slides for Elementary Statistics: Looking at the Big Picture

8.7 Estimation and Sample Size Determination for Finite Populations
8.7 Estimation and Sample Size Determination for Finite Populations

... To illustrate the use of the finite population correction factor when developing a confidence interval estimate of the population proportion, consider again the estimate developed for Saxon Home Improvement Company in Section 8.3. For these data, N = 5,000, n = 100, p = 10>100 = 0.10, and, with 95% ...
practice homework problems
practice homework problems

... 2. 12 choose 5 is 12!/(5!7!)=792. Keep in mind that 5!=5*4*3*2*1. 3. 1+2+5+9+10+20+21=68. Then we take the sum and divide by ”n” which is 7, 69/7=9.714 rounding to the third decimal place. 4. The median leaves at least half of the observations at or below and at least half at or above. With 7 observ ...
2014 - Sample P2
2014 - Sample P2

sample standard deviation
sample standard deviation

1. In words, explain what is measured by each of the following: a. SS
1. In words, explain what is measured by each of the following: a. SS

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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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