Table of contents
- 1. Intro to Stats and Collecting Data(0)
- 2. Describing Data with Tables and Graphs(0)
- 3. Describing Data Numerically(0)
- 4. Probability(0)
- 5. Binomial Distribution & Discrete Random Variables(0)
- 6. Normal Distribution and Continuous Random Variables(0)
- 7. Sampling Distributions & Confidence Intervals: Mean(0)
- Sampling Distribution of the Sample Mean and Central Limit Theorem(0)
- Distribution of Sample Mean - Excel(0)
- Introduction to Confidence Intervals(0)
- Confidence Intervals for Population Mean(0)
- Determining the Minimum Sample Size Required(0)
- Finding Probabilities and T Critical Values - Excel(0)
- Confidence Intervals for Population Means - Excel(0)
- 8. Sampling Distributions & Confidence Intervals: Proportion(0)
- 9. Hypothesis Testing for One Sample(0)
- Steps in Hypothesis Testing(0)
- Performing Hypothesis Tests: Means(0)
- Hypothesis Testing: Means - Excel(0)
- Performing Hypothesis Tests: Proportions(0)
- Hypothesis Testing: Proportions - Excel(0)
- Performing Hypothesis Tests: Variance(0)
- Critical Values and Rejection Regions(0)
- Link Between Confidence Intervals and Hypothesis Testing(0)
- Type I & Type II Errors(0)
- 10. Hypothesis Testing for Two Samples(0)
- Two Proportions(0)
- Two Proportions Hypothesis Test - Excel(0)
- Two Means - Unknown, Unequal Variance(0)
- Two Means - Unknown Variances Hypothesis Test - Excel(0)
- Two Means - Unknown, Equal Variance(0)
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel(0)
- Two Means - Known Variance(0)
- Two Means - Sigma Known Hypothesis Test - Excel(0)
- Two Means - Matched Pairs (Dependent Samples)(0)
- Matched Pairs Hypothesis Test - Excel(0)
- Two Variances and F Distribution(0)
- Two Variances - Graphing Calculator(0)
- 11. Correlation(0)
- 12. Regression(0)
- Linear Regression & Least Squares Method(0)
- Residuals(0)
- Coefficient of Determination(0)
- Regression Line Equation and Coefficient of Determination - Excel(0)
- Finding Residuals and Creating Residual Plots - Excel(0)
- Inferences for Slope(0)
- Enabling Data Analysis Toolpak(0)
- Regression Readout of the Data Analysis Toolpak - Excel(0)
- Prediction Intervals(0)
- Prediction Intervals - Excel(0)
- Multiple Regression - Excel(0)
- Quadratic Regression(0)
- Quadratic Regression - Excel(0)
- 13. Chi-Square Tests & Goodness of Fit(0)
- 14. ANOVA(0)
9. Hypothesis Testing for One Sample
Steps in Hypothesis Testing
9. Hypothesis Testing for One Sample
Steps in Hypothesis Testing: Videos & Practice Problems
142 of 0
Problem 142Multiple Choice
The heights (in units of feet) and trunk diameters (in units of inches) of oak trees were obtained, and the correlation of the results that are obtained are shown in the accompanying XLSTAT output.

The -value for correlation between HEIGHT and DIAMETER is .
At a significance level of , is there sufficient evidence to support the claim that there is a linear correlation between tree height and trunk diameter?
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