In: Statistics and Probability
7. Conduct the appropriate statistical test that will answer your hypothesis - Such as regression analysis, single t-test, independent t-test, cross-tabulations, Chi-square, or One-Way ANOVA. Explain your justification for using the test based on the type of data and the level of measurement
Living arrangement pf Seniors |
|||
Sense of isolation |
Housing development |
Integrated Neighborhood |
Totals |
Low |
80 |
30 |
110 |
High |
20 |
120 |
140 |
Totals |
100 |
150 |
250 |
Here we will conduct a Chi-Square test of independence. We will check if Sense isolation and Living arrangement are related.
Hypothesis to be tested:
Test Statistics:
Calculation table for expected values:
Senior housing | Integrated Neighbourhood | Total | |
low | |||
high | |||
Total |
Calculation table for test statistics
Senior housing | Integrated Neighbourhood | |
low | ||
high |
Value of test statistics :
Critical
Region:
Here we take level of significance as 0.05. And df=1 [df=(no. of
rows-1)*(no. of columns-1)=(2-1)(2-1)=1]
Critical value
We reject our null hypothesis is Calculate
greater than
Decision and
conclusion:
Our calculated
is much greater than our tabulated.
Hence we reject our null hypothesis and conclude
that Sense isolation and Living arrangement are
related. or dependent