3) You want to see if the proportion of female college students who are majoring inthe sciences is statistically different then the proportion of male college studentswho are majoring in the sciences. You take a sample of 50 female collegestudents and find that 18 of them are majoring in the sciences. You take asample of 60 male college students and find that 55% of them are majoring in thesciences. At the 5% significance level, is there sufficient evidence that there is adifference in the proportion of female and male college students who aremajoring in the sciences:PopulationPopulation1:2:Data:Write the nulland alternate hypothesis in symbols:Null:Alternate:Critical Value(S):Test Statistic:p-value:initial conclusion:reason:Formal conclusion:

Name: 3) You want to see if the proportion of female college students who a
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Description: 3) You want to see if the proportion of female college students who are majoring inthe sciences is statistically different then the proportion of male college studentswho are majoring in the sciences. You take a sample of 50 female collegestudents a

Given, n1 = 50 x1 = 18 p1 = X1n1 = 1850 = 0.36 n2 = 60 p2 = 0.55 X2 = n2 × p2 = 60 × 0.55 = 33…

Math

Statistics

3) You want to see if the proportion of female college students who are majoring the sciences is statistically different then the proportion of male college studer who are majoring in the sciences. You take a sample of 50 female college students and find that 18 of them are majoring in the sciences. You take a sample of 60 male college students and find that 55% of them are majoring in sciences. At the 5% significance level, is there sufficient evidence that there is difference in the proportion of female and male college students who are majoring in the sciences: Population 1: Population 2: Data: Write the nulland alternate hypothesis in symbols:

3) You want to see if the proportion of female college students who are majoring the sciences is statistically different then the proportion of male college studer who are majoring in the sciences. You take a sample of 50 female college students and find that 18 of them are majoring in the sciences. You take a sample of 60 male college students and find that 55% of them are majoring in sciences. At the 5% significance level, is there sufficient evidence that there is difference in the proportion of female and male college students who are majoring in the sciences: Population 1: Population 2: Data: Write the nulland alternate hypothesis in symbols:

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

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

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3) You want to see if the proportion of female college students who are majoring in
the sciences is statistically different then the proportion of male college students
who are majoring in the sciences. You take a sample of 50 female college
students and find that 18 of them are majoring in the sciences. You take a
sample of 60 male college students and find that 55% of them are majoring in the
sciences. At the 5% significance level, is there sufficient evidence that there is a
difference in the proportion of female and male college students who are
majoring in the sciences:
Population
Population
1:
2:
Data:
Write the nulland alternate hypothesis in symbols:
Null:
Alternate:
Critical Value(S):
Test Statistic:
p-value:
initial conclusion:
reason:
Formal conclusion:

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