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What is the null hypothesis for the fertilizer company's claim about the yield of wheat per hectare?
What is the null hypothesis for the fertilizer company's claim about the yield of wheat per hectare?
At a 1% significance level, what conclusion can be drawn if the sample mean salary of teachers is Birr 9,400?
At a 1% significance level, what conclusion can be drawn if the sample mean salary of teachers is Birr 9,400?
What is the primary role of a null hypothesis in hypothesis testing?
What is the primary role of a null hypothesis in hypothesis testing?
Which statement correctly describes a Type I error?
Which statement correctly describes a Type I error?
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In the hypothesis testing of the contractor's claim about idle construction workers, what was the sample mean found?
In the hypothesis testing of the contractor's claim about idle construction workers, what was the sample mean found?
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What is the population standard deviation used in the teacher salary case?
What is the population standard deviation used in the teacher salary case?
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What is the significance level used to test the claim about the magazine's readers being college students?
What is the significance level used to test the claim about the magazine's readers being college students?
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What does the alternative hypothesis represent in hypothesis testing?
What does the alternative hypothesis represent in hypothesis testing?
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In the example analyzing shoppers' trip times, what was the sample mean shopping trip time observed?
In the example analyzing shoppers' trip times, what was the sample mean shopping trip time observed?
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In business statistics, why is hypothesis testing crucial?
In business statistics, why is hypothesis testing crucial?
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When testing the claim made by the director about typing speed, what is the sample variance found?
When testing the claim made by the director about typing speed, what is the sample variance found?
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When setting up a hypothesis test, what must be identified first?
When setting up a hypothesis test, what must be identified first?
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What sample size was used in the testing of the contractor's assumption about idle time?
What sample size was used in the testing of the contractor's assumption about idle time?
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What is the null hypothesis (Ho) when testing the economist's claim about unemployment in Addis?
What is the null hypothesis (Ho) when testing the economist's claim about unemployment in Addis?
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For the fertilizer company's yield claim, what was the sample mean yield obtained?
For the fertilizer company's yield claim, what was the sample mean yield obtained?
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Which of the following best describes a Type II error?
Which of the following best describes a Type II error?
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What is the standard deviation of the sample taken for the supermarket shoppers' trip time?
What is the standard deviation of the sample taken for the supermarket shoppers' trip time?
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In hypothesis testing, what is typically assumed at the beginning of the process?
In hypothesis testing, what is typically assumed at the beginning of the process?
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What level of significance was used to test the tire company's claim?
What level of significance was used to test the tire company's claim?
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Using a significance level of 0.01, what is being tested regarding the primary breakfast beverage for Addis residents?
Using a significance level of 0.01, what is being tested regarding the primary breakfast beverage for Addis residents?
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What is the conclusion if the test statistic falls beyond the critical region at a 1% level of significance for the teachers' union case?
What is the conclusion if the test statistic falls beyond the critical region at a 1% level of significance for the teachers' union case?
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What is true about the formulation of hypotheses in hypothesis testing?
What is true about the formulation of hypotheses in hypothesis testing?
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What is the sample size for the analysis of college students among the magazine's readers?
What is the sample size for the analysis of college students among the magazine's readers?
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Which statistical method is primarily being utilized in the examples presented?
Which statistical method is primarily being utilized in the examples presented?
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What proportion of the sampled population in Addis claimed tea as their primary beverage according to the survey?
What proportion of the sampled population in Addis claimed tea as their primary beverage according to the survey?
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What is a key characteristic of a population parameter that must be understood before hypothesis testing?
What is a key characteristic of a population parameter that must be understood before hypothesis testing?
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What assumption can be made when analyzing the results of a hypothesis test?
What assumption can be made when analyzing the results of a hypothesis test?
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In hypothesis testing, what alternative hypothesis (Ha) is appropriate if we want to know if the unemployment rate exceeds 35%?
In hypothesis testing, what alternative hypothesis (Ha) is appropriate if we want to know if the unemployment rate exceeds 35%?
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In the context of hypothesis testing, a 2% level of significance means what about the probability of a Type I error?
In the context of hypothesis testing, a 2% level of significance means what about the probability of a Type I error?
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What aspect is being analyzed when querying whether more than 35% of Addis's labor force is unemployed?
What aspect is being analyzed when querying whether more than 35% of Addis's labor force is unemployed?
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What is the correct interpretation of a Type II error in hypothesis testing?
What is the correct interpretation of a Type II error in hypothesis testing?
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In Example 2, what are the null and alternative hypotheses regarding mean productivity?
In Example 2, what are the null and alternative hypotheses regarding mean productivity?
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What is the null hypothesis for the hotel guest bill scenario?
What is the null hypothesis for the hotel guest bill scenario?
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Which of the following hypotheses in Example 3 suggests employee dishonesty?
Which of the following hypotheses in Example 3 suggests employee dishonesty?
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In hypothesis testing, what does failing to reject the null hypothesis imply?
In hypothesis testing, what does failing to reject the null hypothesis imply?
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If a drugstore manager assumes employee honesty but shortages occur, what must be assumed if the opposite hypothesis is accepted?
If a drugstore manager assumes employee honesty but shortages occur, what must be assumed if the opposite hypothesis is accepted?
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For the marketing campaign, what will failing to reject the null hypothesis imply?
For the marketing campaign, what will failing to reject the null hypothesis imply?
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What does the null hypothesis represent in statistical testing?
What does the null hypothesis represent in statistical testing?
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In defining a one-tailed test, which of the following statements is correct?
In defining a one-tailed test, which of the following statements is correct?
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In Example 1, what does the null hypothesis involve regarding tire life claims?
In Example 1, what does the null hypothesis involve regarding tire life claims?
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Study Notes
Hypothesis Testing
- Hypothesis testing is a statistical method used to evaluate a claim about a population parameter.
- A hypothesis is an assumption about a population parameter (e.g., population mean, proportion, or variance).
- The parameter must be identified prior to analysis.
- In business statistics, a hypothesis is a formal statement about a population parameter which needs to be tested.
What is a Hypothesis?
- A hypothesis is an assumption about a population parameter.
- A parameter is a characteristic of a population (e.g., mean, proportion, variance).
- The parameter must be identified before conducting an analysis.
- In business statistics, a hypothesis is a formal statement about a population parameter that is tested.
Hypothesis Testing Steps
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State the Hypothesis: Define the null and alternative hypotheses.
- Null Hypothesis (H₀): This is the default assumption, often that there is no effect or difference.
- Alternative Hypothesis (H₁): This is the claim to be tested.
- Set the Significance Level: Determine the acceptable risk of rejecting a true null hypothesis (e.g., 5% or 1%).
- Collect Data: Gather a relevant sample of data to test the hypothesis.
- Calculate the Test Statistic: Use an appropriate test statistic (e.g., t-test, z-test, chi-square) based on the collected data and hypotheses.
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Make a Decision: Compare the calculated test statistic to a critical value, or calculate a p-value.
- Reject H₀ if the test statistic falls within the rejection region (or if the p-value is less than the significance level).
- Otherwise, fail to reject H₀.
Type I and Type II Errors
- Type I Error (False Positive): Rejecting a true null hypothesis.
- Type II Error (False Negative): Failing to reject a false null hypothesis.
One-Tailed and Two-Tailed Tests
- Two-Tailed Test: The hypothesis about the population parameter is rejected when the sample statistic falls into either tail of the distribution.
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One-Tailed Test: The hypothesis about the population parameter is rejected when the sample statistic falls into one side (tail) of the distribution.
- A right-tailed test has rejection in the right tail.
- A left-tailed test has rejection in the left tail.
Hypothesis Testing: Population Proportion (p)
- Similar to testing population means, testing population proportions also follows three types of hypotheses:
- H₀: p = y
- H₀: p ≥ y
- H₀: p ≤ y and their corresponding alternatives Ha: p ≠ y, Ha: p < y, and Ha: p > y.
Examples of Formulating Hypotheses
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Example 1: The mean guest bill for a weekend is Birr 400 or less.
- H₀: μ ≤ 400
- H₁: μ > 400
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Example 2: Production workers trained in two different programs—no difference in mean productivity.
- H₀: μ₁ = μ₂
- H₁: μ₁ ≠ μ₂
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Example 3: Employees are honest; no shortages due to dishonesty.
- H₀: Employees are honest (or no shortages due to dishonesty)
- H₁: Employees are dishonest (or shortages are due to dishonesty).
Hypothesis Testing about μ: Population Normal, σ known, n small.
- (Examples and solutions for testing claims about population means.)
Hypothesis Testing about μ: Population Normal, σ unknown, n small.
- (Examples and solutions for testing claims about population means.)
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Description
This quiz covers the concepts of hypothesis testing, including the definition of a hypothesis, the process involved in hypothesis testing, and its application in business statistics. Test your understanding of the steps involved in formulating and evaluating hypotheses.