Researchers were interested to know if women were in fact prefer the colour pink . A survey was distributed to over 1000 individuals where they were asked to identify their gender (Male or Female) and completed 10 questions asking about their color preferences. Th color pink was mentioned in 5 of the 10 questions.The responses from those 5 questions were summed and frequencies based on gender and the color pink were obtained. The researchers hypothized that gender and preferences would be related. (1) What type of test should the researcher use to test this hypothesis.? (2) What would be the null and alternative hypotheses for this study? (Select two answers for each) (a) Z test (b)single sample t test (c)dependent sample t-test (d) independent sample t -test (e) ANOVA (f) Pearson correlation t-test (roe) (g) Chi Square goodness of fit test. (h)Chi Square test for independece (i)Ho: roe<=0 Ha: roe>0 (j)Ho: roe>=0 Ha: roe<0 (k)Ho : roe =0 Ha :roe != 0 (l) Ho: The categories are the same Ha: The categories are different (m)Ho: The two variables are not related Ha: The two variables are related/dependent. (n)Ho: U1= U2 =0 H1:U1- U2 !=0 (o) Ho: U1=U2=U3 Ha: not all means are the same.
lecture(12.7b):
Lecture(12.7):
Researchers were interested to know if women were in fact prefer the colour pink . A survey was distributed to over 1000 individuals where they were asked to identify their gender (Male or Female)
and completed 10 questions asking about their color preferences. Th color pink was mentioned
in 5 of the 10 questions.The responses from those 5 questions were summed and frequencies based
on gender and the color pink were obtained. The researchers hypothized that gender and preferences
would be related.
(1) What type of test should the researcher use to test this hypothesis.?
(2) What would be the null and alternative hypotheses for this study?
(Select two answers for each)
(a) Z test
(b)single sample t test
(c)dependent sample t-test
(d) independent sample t -test
(e) ANOVA
(f) Pearson
(g) Chi Square goodness of fit test.
(h)Chi Square test for independece
(i)Ho: roe<=0
Ha: roe>0
(j)Ho: roe>=0
Ha: roe<0
(k)Ho : roe =0
Ha :roe != 0
(l) Ho: The categories are the same
Ha: The categories are different
(m)Ho: The two variables are not related
Ha: The two variables are related/dependent.
(n)Ho: U1= U2 =0
H1:U1- U2 !=0
(o) Ho: U1=U2=U3
Ha: not all means are the same.
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