CountryMen's NameTime inMinutesGBRMohamed FARAH27.09Tamirat TOLAGalen RUPPBedan Karoki MUCHIRINguse AMLOSOMЕTH27.11USA27.15KEN27.38ERI27.51KENGeoffrey Kipsang KAMWOROR27.53TÜRPolat Kemboi ARIKAN27.59ЕTHAbadi HADIS27.61JPNSuguru OSAKO27.87USAShadrack KIPCHIRCHIR27.97PERLuis OSTOS28.03UGATimothy TOROITICH28.08GBRAndrew VERNON28.32BDIOlivier IRABARUTA28.55JPNYuta SHITARA28.92GBRRoss MILLINGTON29.25CountryWomen's NameTime in minutesETHAlmaz AYANA29.29ЕTHTirunesh DIBABA29.71KENBetsy SAINA30.13TURYasemin CAN30.44NORKaroline Bjerkeli GROVDAL31.24USAEmily INFELD31.45BDIDiane NUKURI31.48GBRJoanne PAVEY31.56GREAlexi PAPPAS31.60Darya MASLOVADominique SCOTTKGZ31.62RSA31.86UAEAlia Saeed MOHAMMED31.95CANLanni MARCHANT32.07wwRWASalome NYIRARUKUNDO32.13ESPTrihas GEBREwww32.16BRATatiele Roberta DE CARVALHO32.64USAMarielle HALL32.66МЕXMarisol ROMERO35.55 3. Find a point estimate for the mean completion time of thea. male runners.b. female runners.4. Construct a 95% confidence interval for the population mean completion time of thea. male runners.b. female runners.5. Interpret the results of number 4.

Name: CountryMen's NameTime inMinutesGBRMohamed FARAH27.09Tamirat TOLAGalen
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Description: CountryMen's NameTime inMinutesGBRMohamed FARAH27.09Tamirat TOLAGalen RUPPBedan Karoki MUCHIRINguse AMLOSOMЕTH27.11USA27.15KEN27.38ERI27.51KENGeoffrey Kipsang KAMWOROR27.53TÜRPolat Kemboi ARIKAN27.59ЕTHAbadi HADIS27.61JPNSuguru OSAKO27.87USAShadrack

3. a. The point estimate for the mean completion of the male runners is,…

Math

Statistics

3. Find a point estimate for the mean completion time of the a. male runners. b. female runners. 4. Construct a 95% confidence interval for the population mean completion time of the a. male runners. b. female runners. 5. Interpret the results of number 4.

3. Find a point estimate for the mean completion time of the a. male runners. b. female runners. 4. Construct a 95% confidence interval for the population mean completion time of the a. male runners. b. female runners. 5. Interpret the results of number 4.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Inverse Normal Distribution

The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.

Mean, Median, Mode

It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.

Z-Scores

A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.

Topic Video

Question

Country
Men's Name
Time in
Minutes
GBR
Mohamed FARAH
27.09
Tamirat TOLA
Galen RUPP
Bedan Karoki MUCHIRI
Nguse AMLOSOM
ЕTH
27.11
USA
27.15
KEN
27.38
ERI
27.51
KEN
Geoffrey Kipsang KAMWOROR
27.53
TÜR
Polat Kemboi ARIKAN
27.59
ЕTH
Abadi HADIS
27.61
JPN
Suguru OSAKO
27.87
USA
Shadrack KIPCHIRCHIR
27.97
PER
Luis OSTOS
28.03
UGA
Timothy TOROITICH
28.08
GBR
Andrew VERNON
28.32
BDI
Olivier IRABARUTA
28.55
JPN
Yuta SHITARA
28.92
GBR
Ross MILLINGTON
29.25
Country
Women's Name
Time in minutes
ETH
Almaz AYANA
29.29
ЕTH
Tirunesh DIBABA
29.71
KEN
Betsy SAINA
30.13
TUR
Yasemin CAN
30.44
NOR
Karoline Bjerkeli GROVDAL
31.24
USA
Emily INFELD
31.45
BDI
Diane NUKURI
31.48
GBR
Joanne PAVEY
31.56
GRE
Alexi PAPPAS
31.60
Darya MASLOVA
Dominique SCOTT
KGZ
31.62
RSA
31.86
UAE
Alia Saeed MOHAMMED
31.95
CAN
Lanni MARCHANT
32.07
ww
RWA
Salome NYIRARUKUNDO
32.13
ESP
Trihas GEBRE
www
32.16
BRA
Tatiele Roberta DE CARVALHO
32.64
USA
Marielle HALL
32.66
МЕX
Marisol ROMERO
35.55

3. Find a point estimate for the mean completion time of the
a. male runners.
b. female runners.
4. Construct a 95% confidence interval for the population mean completion time of the
a. male runners.
b. female runners.
5. Interpret the results of number 4.

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