Data Modeling Examples and Frequently Asked Questions

Recent questions in Modeling data distributions
College StatisticsAnswered question
Jaden Easton Jaden Easton 2020-12-07

Would you rather spend more federal taxes on art? Of a random sample of n1=86 politically conservative voters, r1=18 responded yes. Another random sample of n2=85 politically moderate voters showed that r2=21 responded yes. Does this information indicate that the population proportion of conservative voters inclined to spend more federal tax money on funding the arts is less than the proportion of moderate voters so inclined? Use α=0.05.

a) State the null and alternate hypotheses.

 

H0:p1=p2,H1:p1>p2

H0:p1=p2,H1:p1<p2

H0:p1=p2,H1:p1p2

H0:p1<p2,H1:p1=p2

b) What sampling distribution will you use? What assumptions are you making? The Student's t. The number of trials is sufficiently large. The standard normal. The number of trials is sufficiently large.The standard normal. We assume the population distributions are approximately normal. The Student's t. We assume the population distributions are approximately normal.

c)What is the value of the sample test statistic? (Test the difference p1p2. Do not use rounded values. Round your final answer to two decimal places.)

d) Find (or estimate) the P-value. (Round your answer to four decimal places.)

e) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level alpha? At the α=0.05 level, we reject the null hypothesis and conclude the data are statistically significant. At the α=0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant. At the α=0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. At the α=0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.

f) Interpret your conclusion in the context of the application. Reject the null hypothesis, there is sufficient evidence that the proportion of conservative voters favoring more tax dollars for the arts is less than the proportion of moderate voters. Fail to reject the null hypothesis, there is sufficient evidence that the proportion of conservative voters favoring more tax dollars for the arts is less than the proportion of moderate voters. Fail to reject the null hypothesis, there is insufficient evidence that the proportion of conservative voters favoring more tax dollars for the arts is less than the proportion of moderate voters. Reject the null hypothesis, there is insufficient evidence that the proportion of conservative voters favoring more tax dollars for the arts is less than the proportion of moderate voters.

Statistics and probability also include various data modeling questions, which can be encountered basically everywhere from Social Sciences and Biology to Engineering and Data Science. Depending on your questions, you can receive immediate help by looking through the data modeling examples that we have presented below for you. These will help you to find solutions and find the answers to presented challenges. It is recommended to model your data carefully and to check things twice to ensure that everything is correct because accuracy is the key to any statistical work where a calculation is involved.