In: Math
apply statistical methods and analysis. Unless otherwise
stated, use 5% (.05) as your alpha level (cutoff for statistical
significance).
Ice Cream Flavor Preference by Gender |
|||
Men |
Women |
Marginal Row Totals |
|
Vanilla |
15 |
10 |
25 |
Chocolate |
30 |
5 |
35 |
Marginal Column Totals |
45 |
15 |
60 (Grand Total) |
The chi-square statistic is 5.143. The p-value is .0233.
This result is significant at p < .05.
#1. The chart above shows male and female
preferences for vanilla vs. chocolate ice cream among men and
women.
#2. The calculator at this link will allow you
to perform a one-way chi-square or “goodness of fit test”:
http://vassarstats.net/csfit.html
Fifty students can choose between four different professors to take
Introductory Statistics. The number choosing each professor is
shown below. Use the calculator above to test the null hypothesis
that there is no preference for professors -- that there is an
equal chance of choosing each of them. Report your results
including chi-square, degrees of freedom, p-value and your
interpretation. Use an alpha level of .05. Be careful not to over
interpret – state only what the test result tells you.
Professor |
N |
Dr. Able |
20 |
Dr. Baker |
8 |
Dr. Chavez |
14 |
Dr. Davis |
8 |
#3. Match these non-parametric statistical tests
with their parametric counterpart by putting the corresponding
letter on the line.
_____ Friedman test
_____ Kruskal-Wallis H test
_____ Mann-Whitney U test
_____ Wilcoxon Signed-Ranks T test
A: Paired-sample t-test
B: Independent-sample t-test
C: One-way ANOVA, independent samples
D: One-way ANOVA, repeated measures
Solution:
1. a. To find what percent of men prefer chocolate over vennila we need to use the following percentage formula
Y/X = P%
X- chocolate Y- vennila
15/30 = 0.5*100 = 50%
Therefore 50% of men prefer chocolate over vennila.
b. Similarly to find what percent of women prefer chocolate over vennila is given as
10/5= 2*100 = 200%
Therefore twice the hundred of women prefer chocolate over vennila
2. From the given date the chi-square test is performed which is given as follows
chi square calculated value is 7.92
Chi square table value for alpha = 0.05 for 4 df is 9.488
Since calculated value is less than the table value it is not significant and null hypothesis is accepted at 5% level of significance. Hence we conclude that no preference for professors -- that there is equal chance for choosing each of them.
3. One way ANOVA, repeated measures - Friedman test
One way ANOVA, independent samples - Kruskal-Wallis H test
Paired sample t-test - Mann Whitney U test
Independent sample t-test - Wilcoxon Signed Rank T test