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Please use SPSS T-Test for Independent Samples The following represent the number of fish caught in a stream by some anglers. These anglers tested the claim that a new Zeta bait would facilitate the catching of fish as compared to the old Aquiline bait. Two groups of proficient anglers were randomly assigned to fish with the baits for 2 hours each. Each group caught 13 fish. Acuiline: 10,16,18,19,14,8,9,5,7,11,15,6,4 Zeta: 2,4,1,2,0,1,2,10,18,4,7,20,7 Assuming that you have been hired to determine the outcome of this experiment, what conclusions would you draw about the baits? Don’t just show our data output, answer the question.

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Final answer:

To determine if the new Zeta bait facilitates catching more fish compared to the old Aquiline bait, we will conduct a t-test for Independent Samples. Based on the given values for t and p, there is no significant difference between the two baits in terms of their effectiveness in catching fish.

Step-by-step explanation:

To determine the outcome of the experiment comparing the old Aquiline bait to the new Zeta bait, we will conduct a Student's t-test for Independent Samples. This test compares the means of two different groups to determine if they are significantly different.

Using the given data, we will perform the t-test and calculate the test statistic (t-value) and the p-value. The t-value measures how much the means of the two groups differ relative to the within-group variability, and the p-value indicates the probability of observing a difference as extreme as the one actually observed, assuming that the null hypothesis is true.

Based on the given values for t and p, we would conclude that there is not enough evidence to reject the null hypothesis, which suggests that there is no significant difference between the two baits in terms of their effectiveness in catching fish.

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