Table of contents

1. Intro to Stats and Collecting Data55m
2. Describing Data with Tables and Graphs1h 55m
3. Describing Data Numerically1h 45m
4. Probability2h 16m
5. Binomial Distribution & Discrete Random Variables2h 33m
6. Normal Distribution and Continuous Random Variables1h 38m
7. Sampling Distributions & Confidence Intervals: Mean1h 53m
8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- Sampling Distribution of Sample Proportion
  29m
- Confidence Intervals for Population Proportion
  42m
9. Hypothesis Testing for One Sample2h 19m
10. Hypothesis Testing for Two Samples3h 22m
11. Correlation1h 6m
12. Regression1h 4m
13. Chi-Square Tests & Goodness of Fit1h 20m
14. ANOVA1h 0m

1. Intro to Stats and Collecting Data

Intro to Collecting Data

Statistics

1. Intro to Stats and Collecting Data

Intro to Collecting Data

Previous problemNext problem

3:12 minutes

Problem 1.1.30

Textbook Question

Identify the population and the sample. Describe the sample data set.
A survey of 214 of the seniors graduating with a bachelor of science degree from a university found that 15% planned to obtain entry-level jobs in the health field.

Verified step by step guidance

Step 1: Understand the definitions of population and sample. The population refers to the entire group of individuals or items that we are interested in studying, while the sample is a subset of the population that is actually observed or analyzed.

Step 2: Identify the population in the problem. The population here consists of all seniors graduating with a bachelor of science degree from the university.

Step 3: Identify the sample in the problem. The sample is the group of 214 seniors who were surveyed from the population.

Step 4: Describe the sample data set. The sample data set includes the responses of the 214 seniors, specifically the information about whether they plan to obtain entry-level jobs in the health field.

Step 5: Highlight the key statistic from the sample. From the survey, it was found that 15% of the 214 seniors in the sample planned to obtain entry-level jobs in the health field. This percentage is a statistic because it is calculated from the sample data.

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Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Population

In statistics, the population refers to the entire group of individuals or instances about whom we want to draw conclusions. In this context, the population consists of all seniors graduating with a bachelor of science degree from the university. Understanding the population is crucial for determining the relevance and applicability of the survey results.

Sample

A sample is a subset of the population selected for analysis, which is used to make inferences about the entire group. In this case, the sample consists of 214 seniors who were surveyed. The sample should ideally represent the population to ensure that the findings can be generalized to all seniors graduating with a bachelor of science degree.

Sample Data Set

The sample data set refers to the specific data collected from the sample, which in this scenario indicates that 15% of the surveyed seniors plan to pursue entry-level jobs in the health field. This data set provides insights into the preferences and plans of the sample group, which can be analyzed to infer trends or behaviors within the larger population.

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Identify the population and the sample. Describe the sample data set.A survey of 214 of the seniors graduating with a bachelor of science degree from a university found that 15% planned to obtain entry-level jobs in the health field.

Key Concepts

Population

Sample

Sample Data Set

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Identify the population and the sample. Describe the sample data set.
A survey of 214 of the seniors graduating with a bachelor of science degree from a university found that 15% planned to obtain entry-level jobs in the health field.