Which of the following is not true when testing a claim about a population proportion?
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: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- 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
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
9. Hypothesis Testing for One Sample
Steps in Hypothesis Testing
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which of the following is the correct first step in hypothesis testing?
A
State the null and alternative hypotheses
B
Calculate the test statistic
C
Determine the p-value
D
Draw a conclusion based on the results
Verified step by step guidance1
Understand that hypothesis testing begins with formulating two competing statements: the null hypothesis (\(H_0\)) and the alternative hypothesis (\(H_a\)).
The null hypothesis (\(H_0\)) typically represents the status quo or no effect, while the alternative hypothesis (\(H_a\)) represents the claim you want to test.
Clearly state these hypotheses in a way that they are mutually exclusive and cover all possible outcomes.
After stating the hypotheses, the next steps involve collecting data, calculating the test statistic, determining the p-value, and finally drawing a conclusion.
Therefore, the correct first step in hypothesis testing is to state the null and alternative hypotheses.
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Master Step 1: Write Hypotheses with a bite sized video explanation from Patrick
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