Martha wanted to find out the perceptions of Grade 12 learners in Homeschooling. She randomly selected 55 participants in her school and then she wanted to compare the responses among male and female respondents. Statistical Test: Clue:

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Author:Carter
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Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 10CYU
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Answer the questions in 1st picture...

Examples of statistical tools is given on the second picture

Identification. Identify what statistical test is appropriate for each of the conditions below.
1. Martha wanted to find out the perceptions of Grade 12 learners in Homeschooling. She randomly
selected 55 participants in her school and then she wanted to compare the responses among male and
female respondents.
Statistical Test:
Clue:
2. Joe is a researcher in Iloilo National High School and he is interested to know about the purchasing
trends of online buyers in Iloilo City. He selected 15 participants using convenience sampling and he
compared the responses among educational attainment (high school, college, and postgraduate level).
Statistical Test:
Clue:
3. Roni wants to conduct a research on the impact of his learing intervention on the academic
performance of students. He applied a pre-test/post-test research design and he already had two
predetermined groups.
Statistical Test:
Clue:
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Transcribed Image Text:Identification. Identify what statistical test is appropriate for each of the conditions below. 1. Martha wanted to find out the perceptions of Grade 12 learners in Homeschooling. She randomly selected 55 participants in her school and then she wanted to compare the responses among male and female respondents. Statistical Test: Clue: 2. Joe is a researcher in Iloilo National High School and he is interested to know about the purchasing trends of online buyers in Iloilo City. He selected 15 participants using convenience sampling and he compared the responses among educational attainment (high school, college, and postgraduate level). Statistical Test: Clue: 3. Roni wants to conduct a research on the impact of his learing intervention on the academic performance of students. He applied a pre-test/post-test research design and he already had two predetermined groups. Statistical Test: Clue: CS Scanned with CamScanner
APPROPRIATE STATISCAL TESTS
Two Independent Sammples (Comparing Two Groups)
The data come from 2 unrelated samples, drawn randomly from different populations
The 2 samples are not experimentally related. The measurement of one sample has no effect on the
values of the second sample.
Note: In a monadic design, the samples are independent
Examples:
>Comparing the Purchase Intent mean scores of Concept X vs. Concept Y
>Comparing the responses of Females vs. Males
>Comparing the stress levels of college students vs high school students
> Method: Mann Whitney U Test or T-test for Independent Sample (Paired)
The Case of More than Two Independent Samples (Three or More Groups)
Method: One-way ANOVA for a quantitative (numerical) variable or Kruskal Wallis
E.g. Overall Liking, Purchase Intention, Product Attribute, Imagery attribute
Examples
In a blind product test, comparing the performances of 3 different facial moisturizer
In a concept test, comparing the acceptance of 5 new powdered milk concepts
In a U&A study, comparing the responses from SES Upper vs. Middle vs. Lower
In a TVC pre-test, comparing the performances of 3 different new ads
Two Dependent Sampies (Same Group, Before and After)
Paired data is formed from measurements of essentially the same quantitative variable
(ordinal, internal, or ratio level) done on the same individuals
Еxamples
Concept score vs. Product score of a new mix (in a concept-product test project)
Perceptions 'Before' and 'After' an exposure (e.g., a TV Commercial)
Perceptions 'Before' and 'After' attending a brand sponsored event
Method:Wilcoxon Signed-Rank Test, T-Test for Dependent Sample (Unpaired)
CS Scanned with CamScanner
Transcribed Image Text:APPROPRIATE STATISCAL TESTS Two Independent Sammples (Comparing Two Groups) The data come from 2 unrelated samples, drawn randomly from different populations The 2 samples are not experimentally related. The measurement of one sample has no effect on the values of the second sample. Note: In a monadic design, the samples are independent Examples: >Comparing the Purchase Intent mean scores of Concept X vs. Concept Y >Comparing the responses of Females vs. Males >Comparing the stress levels of college students vs high school students > Method: Mann Whitney U Test or T-test for Independent Sample (Paired) The Case of More than Two Independent Samples (Three or More Groups) Method: One-way ANOVA for a quantitative (numerical) variable or Kruskal Wallis E.g. Overall Liking, Purchase Intention, Product Attribute, Imagery attribute Examples In a blind product test, comparing the performances of 3 different facial moisturizer In a concept test, comparing the acceptance of 5 new powdered milk concepts In a U&A study, comparing the responses from SES Upper vs. Middle vs. Lower In a TVC pre-test, comparing the performances of 3 different new ads Two Dependent Sampies (Same Group, Before and After) Paired data is formed from measurements of essentially the same quantitative variable (ordinal, internal, or ratio level) done on the same individuals Еxamples Concept score vs. Product score of a new mix (in a concept-product test project) Perceptions 'Before' and 'After' an exposure (e.g., a TV Commercial) Perceptions 'Before' and 'After' attending a brand sponsored event Method:Wilcoxon Signed-Rank Test, T-Test for Dependent Sample (Unpaired) CS Scanned with CamScanner
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