I ONLY NEED DATA INERPRETAVION FORM THE BELOW SCREENSHOT AND DATA

In a cross-sectional study, the participants are seen at only one point of time. Two samples are said to be independent when the data points in one sample are unrelated to the data points in the second sample.

The problem that demonstrates inference from two independent samples will use hypothetical data from the American Association of Poison Control Centers.

There are two groups of independent data collected in different regions, which also calls for a t-test. The numbers represent the number of recorded cases of poisoning with chemicals in the homes of 100,000 people in two regions.

Table 6: Cases of Poisoning With Chemicals

Year	Region 1	Region 2
1	150	11
2	160	10
3	132	14
4	110	12
5	85	10
6	45	11
7	123	9
8	180	11
9	143	10
10	150	14

Click hereto access the dataset.

Using SPSS, download the data and perform the analysis, then complete the following:

• Formulate a null and an alternative hypothesis for a two-sided test.
• Conduct the test at the 0.05 level of significance.

ut Univariate Analysis of Variance Warnings Title Post hoc tests are not performed for Region because there are Notes fewer than three groups Active Dataset Warnings Between-Subjects Factors Between-Subjects Levene's Test of Equality of Error Factors Tests of Between-Subjects Effec + N Region 1 10 2 10 Levene's Test of Equality of Error Variances, Levene Statistic df1 df2 Sig Cases of Poisoning Based on Mean 13.794 1 18 002 Based on Median 10.261 1 18 005 Based on Median and with 10.261 9.031 011 adjusted df Based on trimmed mean 12.913 18 002 Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a. Dependent variable: Cases of Poisoning b. Design: Intercept + Region Tests of Between-Subjects Effects Dependent Variable: Cases of Poisoning Type Ill Sum of Source Squares df Mean Square Sig Corrected Model 67977.800 1 67977.800 87.094 <.001 intercept region error total corrected a. r squared=".829">