just the last part i included a pic of the sample data, thank you! A researcher with the Department of Education followed a cohort of students who graduated from high school in a certain year, monitoring the progress the studentsmade toward completing a bachelor's degree. One aspect of his research was to determine whether students who first attended community college took longer to attaina bachelor's degree than those who immediately attended and remained at a 4-year institution. The data in the table attached below summarize the results of his study.Complete parts a) through e) below.Click here to view the sample data.Click here to view Student's t-distribution table.a) What is the response variable in this study? What is the explanatory variable?O A. The response variable is the use of community college or not. The explanatory variable is the time to graduate.B. The response variable is the time to graduate. The explanatory variable is the use of community college or not.O C. The response variable is the number of students. The explanatory variable is the time to graduate.O D. The response variable is the time to graduate. The explanatory variable is the number of students.b) Explain why this study can be analyzed using inference of two sample means. Select all that apply.O A. The sample sizes are large (both greater than or equal to 30).O B. The sample sizes are not more than 5% of the population.O C. The samples can be reasonably assumed to be random.O D. The population is given to be normally distributed.O E. The samples are independent. isample dataCommunityCollege TransferNo Transfer2561131Sample mean time tograduate, in yearsSample standard5.314.281.1771.017deviation time tograduate, in years

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Description: just the last part i included a pic of the sample data, thank you! A researcher with the Department of Education followed a cohort of students who graduated from high school in a certain year, monitoring the progress the studentsmade toward completin

The sample size of community college transfer is 256 and no transfer is 1131. That is, both the…

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b) Explain why this study can be analyzed using inference of two sample means. Select all that apply. O A. The sample sizes are large (both greater than or equal to 30). O B. The sample sizes are not more than 5% of the population. c. The samples can be reasonably assumed to be random. O D. The population is given to be normally distributed. O E. The samples are independent.

b) Explain why this study can be analyzed using inference of two sample means. Select all that apply. O A. The sample sizes are large (both greater than or equal to 30). O B. The sample sizes are not more than 5% of the population. c. The samples can be reasonably assumed to be random. O D. The population is given to be normally distributed. O E. The samples are independent.

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Concept explainers

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.

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just the last part i included a pic of the sample data, thank you!

A researcher with the Department of Education followed a cohort of students who graduated from high school in a certain year, monitoring the progress the students
made toward completing a bachelor's degree. One aspect of his research was to determine whether students who first attended community college took longer to attain
a bachelor's degree than those who immediately attended and remained at a 4-year institution. The data in the table attached below summarize the results of his study.
Complete parts a) through e) below.
Click here to view the sample data.
Click here to view Student's t-distribution table.
a) What is the response variable in this study? What is the explanatory variable?
O A. The response variable is the use of community college or not. The explanatory variable is the time to graduate.
B. The response variable is the time to graduate. The explanatory variable is the use of community college or not.
O C. The response variable is the number of students. The explanatory variable is the time to graduate.
O D. The response variable is the time to graduate. The explanatory variable is the number of students.
b) Explain why this study can be analyzed using inference of two sample means. Select all that apply.
O A. The sample sizes are large (both greater than or equal to 30).
O B. The sample sizes are not more than 5% of the population.
O C. The samples can be reasonably assumed to be random.
O D. The population is given to be normally distributed.
O E. The samples are independent.

i
sample data
Community
College Transfer
No Transfer
256
1131
Sample mean time to
graduate, in years
Sample standard
5.31
4.28
1.177
1.017
deviation time to
graduate, in years

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