In the recent COVID-19 pandemic, a local precinct observed that of the 75 people who voted, 25 identified as republican, 30 were democrat, and 20 were “other”. Is this similar to pre-pandemic voting based on political party affiliations? At that same precinct, pre-pandemic voting based on political party affiliation was: 35% republican, 44% democrats, and 21% “other”. Enter in the 75 data points and expected values into SPSS to conduct the appropriate statistical test. Calculate the expected frequencies for each of the levels of your variable. Clearly label each group and show all work involving your calculations. Paste all relevant statistical output in the space provided below and Present the results using APA format. Make sure to describe what the conclusions mean in general terms.
In the recent COVID-19 pandemic, a local precinct observed that of the 75 people who voted, 25 identified as republican, 30 were democrat, and 20 were “other”. Is this similar to pre-pandemic voting based on political party affiliations? At that same precinct, pre-pandemic voting based on political party affiliation was: 35% republican, 44% democrats, and 21% “other”. Enter in the 75 data points and
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what is the variable of interest in the question? How many levels does it have and what are they?
Is there a relationship between one’s gender and whether one owns a dog, cat, or reptile? Use the data provided in the table below to answer the following question. -Show all the relevant statistical output
How do I enter this data in SPSS and which test do I run? I input one column for each level but I am so confused and my output is weird looking. Do I run the One Way ANOVA in order to be able to calculate the effect size?
Dog |
Cat |
Reptile |
Row Totals |
|
Male |
20 |
17 |
11 |
48 |
Female |
25 |
23 |
5 |
53 |
Column totals |
45 |
40 |
16 |
101 |
What would the graph be for the following?
Categories | Observed frequencies | Proportion | Expected frequencies E=np |
Republican | 25 | 0.35 | 75×0.35=26.25 |
Democrat | 30 | 0.44 | 33 |
Other | 20 | 0.21 | 15.75 |
Total | n=75 | 1 | 75 |