Question

ANSWER 2 QUESTIONS

1) You take a random sample of individuals in San Marcos and record the number of traffic violations they have committed. You conduct a t-test to determine if the average number of traffic violations is equal to 1.

2) The t-test has a p-value of 0.049. Explain what the p-value means. 3. Is a simple t-test for the difference between group means sufficient to determine a causal effect? Why, or why not?

Answer 1

You take a random sample of individuals in San Marcos and record the number of traffic violations they have committed. You conduct a t-test to determine if the average number of traffic violations is equal to 1.

Here we have to test the hypothesis that,

H0 : mu = 1 Vs H1 : mu not= 1

where mu is the population mean.

Assume alpha = level of significance = 0.05

Given that conduct a t test.

Also P-value = 0.049

We can see that P-value < alpha

Reject H0 at 5% level of significance.

COnclusion : There is not sufficient evidence to say that the average number of traffic violations is equal to 1.

We get insufficient results.

P-value is the observed level of significance.

If there is only one group we can use one sample t-test.

If there are two groups then we use two sample t-test.