Obtain the summary statistics for LWT graph and AGE graph. Construct a 95% confidence interval estimate for moms mean age. Variable LabelMeanStd DevMinimumMaximumMedianN MissLWTMom's Weight Last Menstrual PeriodMom's Age129.8148148 30.5793804 80.0000000 250.0000000 121.0000000 189AGE23.23809525.2986779 14.000000045.000000023.0000000 189Distribution of AGEMean 23.238095238Std Dev 5.2986779334Min144523189Маx20MedianNNMiss15101518212427303336394245Mom's AgeDistribution of LWTMean 129.81481481Std Dev 30.579380353MinМах8025030Median121189NMiss201090110130150170190210230250Mom's Weight Last Menstrual PeriodPercentPercent

(1). Summary statistics for a sample gives the information about the data of sample. It includes…

Answered: Obtain the summary statistics for LWT…

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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Obtain the summary statistics for LWT graph and AGE graph.
Construct a 95% confidence interval estimate for moms mean age.

Variable Label
Mean
Std Dev
Minimum
Maximum
Median
N Miss
LWT
Mom's Weight Last Menstrual Period
Mom's Age
129.8148148 30.5793804 80.0000000 250.0000000 121.0000000 189
AGE
23.2380952
5.2986779 14.0000000
45.0000000
23.0000000 189
Distribution of AGE
Mean 23.238095238
Std Dev 5.2986779334
Min
14
45
23
189
Маx
20
Median
N
NMiss
15
10
15
18
21
24
27
30
33
36
39
42
45
Mom's Age
Distribution of LWT
Mean 129.81481481
Std Dev 30.579380353
Min
Мах
80
250
30
Median
121
189
NMiss
20
10
90
110
130
150
170
190
210
230
250
Mom's Weight Last Menstrual Period
Percent
Percent

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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