Intro to ConfidenceIntervals.xls
This workbook demonstrates how confidence intervals work.
The first two sheets, UniformCI and NormalCI implement the procedure for creating a confidence interval
and demonstrate how confidence intervals cover.
Here are the
Chapter 4: Sampling and Statistical Inference
1. Define a sampling plan. What is the purpose of using a sampling plan?
A sampling plan is a description of the approach that will be used to obtain samples from a population
prior to any data collection acti
INTRODUCTION
AEA_DifTPAB_v04.xls spreadsheet has been designed by AEA Energy & Environment to assist Diffusion Tube users in calculating the
Precision and Accuracy (Bias) of their co-location studies. It also helps in adjusting diffusion tube results usin
Statistical Details of Sample Size Calculator
Deciding how many questionnaires you need to send out is a combination of the following factors:
a)
The level of accuracy you require in your results.
b)
The likely response rate.
c)
The size of the population
Analytical Tools
for Public Health
March 2008 - updated February 2014
Commonly used public health statistics and
their confidence intervals
This spreadsheet provides Excel formul for calculating the more
common types of statistic used within public health
CONFIDENCE INTERVAL CALCULATOR (v4, November 2002)
This spreadsheet can be used to calculate confidence intervals for a mean, the difference betweeen two means, a proportion o
comparisons of two proportions (the absolute risk reduction, number needed to t
Hypothesis Test for Mean
Hypothesis Test for Proportion
Data Summary
Data Summary
n
Mean
StdDev
4
3.765
1.36758912
User Input
H0 Mean
Alpha
Computed Values
df
t
Left-Tail Test
Left Critical t
p-value
Right-tail Test
Right Critical t
p-value
2.23
4
5.5
3.3
This worksheet computes prediction intervals for the mean
effect size in a meta-analysis
For documentation please go to www.Meta-Analysis.com/Prediction
This spreadsheet was prepared by Michael Borenstein
October 25, 2016
Based on formulas in the text
Int
RESAMPLE.XLS
Michael Wood, February 2003
The approach in this workbook is explained in more detail in Making sense of statistics - a nonmathematical approach (Palgrave, August 2003). There are other worksheets at
http:/userweb.port.ac.uk/~woodm/nms .
This
41057808a5f691e137b14fb9afdd9a08c6965b7b.xls
95% Confidence Interval (confin95) Calculator
Clinical Decision Making Program
Department of Family Medicine, University of Oklahoma Health Sciences Center
This calculator produces 95% confidence intervals. Its
Example 1
A simple random sample of 5 months of sales data provided the following:
Month
1
2
3
4
5
Units sold
94
100
85
94
92
a) What is the point estimate of the population mean number of units
sold per month?
b) What is the point estimate of the populat
CONFIDENCE LIMITS AND MAGNITUDE-BASED INFERENCES FROM P VALUES
Hover cursor for citation.
Hover cursor for updates:
2016
2012
2008
2007
How to Use this Spreadsheet
Use this spreadsheet to convert a p value into confidence limits for, and inferences about,
This spreadsheet contains six user-defined functions (written in MS Visual Basic for Applications) that make it easy to compute
intervals for the Binomial and Poisson distributions.
When you open this file, Excel may warn you that it contains macros, whic
Prediction intervals for D, d, g, RD
Enter values in shaded cells only
Number of studies
Degrees of freedom
Critical value for t (95% interval)
Mean effect (random effect weights)
Tau-squared
Variance of M*
5
3
3.182446
3.680000
3.506000
2.139000
Predicti
CONFIDENCE INTERVALS FOR ONE-WAY ANOVA
Confidence interval for means
df
Mean square
Within group
12
15
Mean 1
Mean 2
Mean 3
Mean 4
Mean 5
Value of Mean
15
6
9
Sample size
5
5
5
Confidence level
95
SE
1.732
1.732
1.732
n/a
n/a
Confidence interval
Margin of
Calculate the Critical Values for z/2
Enter the Required Value in the White Cell
Confidence Level as a Decimal =
0.97
OUTPUT: The critical value for the
97% confidence level is z = 2.17.
Calculate the Confidence Intervals for Population Mean: Known
Enter
-2 n =
-8 mean =
-9 s.d. =
-4
-1
2
6
-3.666667
4.226898
Confidence
Mean (s Known)
Confidence Intervals
Mean (s Unknown)
Proportion
n
6 n
6 n
Sample mean
-3.666667 Sample mean
-3.666667 Successes
s
0.05 Sample S.D.
4.226898 Failures
Confidence Level
0.9 Co
Cohen's d for the mean difference (v1.3)
Cohen's d with Confidence Interv
Enter sample sizes (N), means, standard deviations (SDs) and confidence level
into the green cells. Pink cells give Cohen's d, confidence intervals, and
interpretations
Std. Dev.1
N
t-Estimate of the Difference Between Two Means (Unequal-Variances)
Confidence Interval for the Difference Between Two Means using Satterwhaite formul for df
Sample 1 Sample 2 Confidence Interval Estimate
Mean
604.02
633.2
-29.21
27.65
Variance
4102
10671
This Excel File allows for calculations of Defect per million levels and Confidence Intervals.
Instructions: File in the value in the yellow boxes.
Worksheet Tabs:
DPM
May be used to compute Part Per Million Defects and Process Potential given sp
Sigma Le
This spreadsheet calculates 95% confidence limits for binomial proportions.
Enter the sample size, and then enter either the observed number of "successes" or the observed prop
("Successes" is statistical jargon for whatever you're calculating the proport
Data Enter numerical values in cells A2, A3,
-0.707106781
0.707106781
Aldicarb (Milllard & Neerchal, Ex 5.24)
Well 1
Well 2
19.9
23.7
29.6
21.9
18.7
26.9
24.2
26.1
d & Neerchal, Ex 5.24)
Well 3
25.6
23.3
22.3
26.9
Arsenic (Millard & Neerchal, Ex 6.1)
Bac
Kinetics of immune responses
I. CELL INTERACTIONS IN SPECIFIC IMMUNE RESPONSES:
GENERAL CHARACTERISTICS OF THE SPECIFIC IMMUNE RESPONSES
A. Self/non-self discrimination - One characteristic feature of the specific
immune system is that it normally disting
MAJOR HISTOCOMPATIBILITY
COMPLEX (MHC)
and
T-CELL RECEPTORS
MAJOR HISTOCOMPATIBILITY COMPLEX (MHC)
A. History
- In transplantation studies, MHC gene products were identified as
responsible for graft rejection.
- In studies on responses to antigens, MHC ge
GENETICS OF
IMMUNOGLOBULINS
OBJECTIVES
Describe the organization and expression of the immunoglobulin gene
families.
Explain the origins of antibody diversity.
I.
History
Amino acid sequencing data revealed that a single C region could be
associated with
IMMUNOREGULATION
I. CENTRAL ROLE OF HELPER T CELLS IN CELL-MEDIATED
IMMUNITY
After a helper T cell recognizes specific antigen, it can initiate
several key immune processes.
1. Selection of effector mechanisms.
2. Induction of proliferation in appropriate
CELLS INVOLVED
IN IMMUNE RESPONSES
OVERVIEW
Immunology is the study of the mechanisms that a host has evolved to rid
itself of pathogens and other foreign substances.
There are two sites at which pathogens may be located:
1. Extracellular sites
2. Intrace
CYTOKINES
OBJECTIVE:
Properties and functions of cytokines
Cytokines are a diverse group of non-antibody proteins released by cells that
act as intercellular mediators, especially in immune processes.
A. Cytokines are clinically important as biological re
IMMUNOGLOBULINS STRUCTURE AND FUNCTION
OBJECTIVES
Discussthegeneralpropertiesofallimmunoglobulins
Describethebasicstructureofimmunoglobulins
Relateimmunoglobulinstructurewithfunction
Defineimmunoglobulinhypervariableandframeworkregions
Defineimmunoglobuli