Which part of the survey described in Exercise 3 represents the descriptive branch of statistics? Make an inference based on the results of the survey.
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 8m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - Excel42m
- Performing Hypothesis Tests: Proportions37m
- Hypothesis Testing: Proportions - Excel27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors16m
- 10. Hypothesis Testing for Two Samples5h 37m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- Two Variances and F Distribution29m
- Two Variances - Graphing Calculator16m
- 11. Correlation1h 24m
- 12. Regression3h 33m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - Excel8m
- Finding Residuals and Creating Residual Plots - Excel11m
- Inferences for Slope31m
- Enabling Data Analysis Toolpak1m
- Regression Readout of the Data Analysis Toolpak - Excel21m
- Prediction Intervals13m
- Prediction Intervals - Excel19m
- Multiple Regression - Excel29m
- Quadratic Regression15m
- Quadratic Regression - Excel10m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA2h 28m
1. Intro to Stats and Collecting Data
Intro to Stats
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 guidance1
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.
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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.
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Sampling Distribution of Sample Proportion
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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Sampling Distribution of Sample Proportion
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