Podcast
Questions and Answers
Which test statistic is most suitable when the population variance is unknown and the sample size is small?
Which test statistic is most suitable when the population variance is unknown and the sample size is small?
- Chi-square test
- t-test (correct)
- F-test
- z-test
Under what condition is the one-sample z-statistic preferred over the one-sample t-statistic?
Under what condition is the one-sample z-statistic preferred over the one-sample t-statistic?
- When the population mean is unknown.
- When the sample size is small.
- When the population mean is known.
- When the population standard deviation is known. (correct)
According to the Central Limit Theorem, which statistical test is preferable when dealing with a very large sample size and a known variance?
According to the Central Limit Theorem, which statistical test is preferable when dealing with a very large sample size and a known variance?
- One-tailed _z_-test
- _z_-test (correct)
- Two-tailed _t_-test
- _t_-test
What characteristic makes the z-test/statistic an appropriate choice?
What characteristic makes the z-test/statistic an appropriate choice?
Which test is most suitable when dealing with a non-normal distribution, a large sample size, and an unknown population variance?
Which test is most suitable when dealing with a non-normal distribution, a large sample size, and an unknown population variance?
Which notation is essential for identifying the correct test statistic used to compute a test value?
Which notation is essential for identifying the correct test statistic used to compute a test value?
For a sample of $n = 100$ selected from a normal population, with a sample mean $\bar{x} = 56$ and sample standard deviation $s=12$, which statistical test is applicable?
For a sample of $n = 100$ selected from a normal population, with a sample mean $\bar{x} = 56$ and sample standard deviation $s=12$, which statistical test is applicable?
When can the t-test for a single sample mean be applied?
When can the t-test for a single sample mean be applied?
For a simple random sample of 150 observations from a large population, a sample average of 70, and a sample standard deviation of 16, what is the value of the estimated standard error of the mean ($s_{\bar{x}}$)?
For a simple random sample of 150 observations from a large population, a sample average of 70, and a sample standard deviation of 16, what is the value of the estimated standard error of the mean ($s_{\bar{x}}$)?
A tire firm assesses the braking distance using 10 cars on both wet and dry surfaces, with established σ. Which test statistic fits?
A tire firm assesses the braking distance using 10 cars on both wet and dry surfaces, with established σ. Which test statistic fits?
A food plan aims to boost corn yield. 60 plots give a mean of 3,200 kgs ($\sigma$ = 600 kgs). At α = .05, did yield increase? Which test should be used?
A food plan aims to boost corn yield. 60 plots give a mean of 3,200 kgs ($\sigma$ = 600 kgs). At α = .05, did yield increase? Which test should be used?
A survey says college students average P200 monthly with σ = P62. A teacher surveys 80 students, finding P245 average. What is the population standard deviation in this case?
A survey says college students average P200 monthly with σ = P62. A teacher surveys 80 students, finding P245 average. What is the population standard deviation in this case?
A real estate agent believes average closing cost is P328,250. A sample of 40 sales averages P333,300, $\sigma$ is P6,060. What test fits?
A real estate agent believes average closing cost is P328,250. A sample of 40 sales averages P333,300, $\sigma$ is P6,060. What test fits?
A random sample of 29 doctors shows 55 weekly work hours with $s$ = 7.5 hours. If average is 48, is the evidence significantly greater? What statistic fits?
A random sample of 29 doctors shows 55 weekly work hours with $s$ = 7.5 hours. If average is 48, is the evidence significantly greater? What statistic fits?
The government claimed that the average income of Filipino people was P18,000 in 2015, but a recent sample indicated that the average income was P20,000, where $\sigma$ is P1,300. What is the appropriate test statistic?
The government claimed that the average income of Filipino people was P18,000 in 2015, but a recent sample indicated that the average income was P20,000, where $\sigma$ is P1,300. What is the appropriate test statistic?
A researcher is studying the effects of a new teaching method on student test scores. They collect data from 35 students. Which would lead the use of a t-test rather than a z-test?
A researcher is studying the effects of a new teaching method on student test scores. They collect data from 35 students. Which would lead the use of a t-test rather than a z-test?
In hypothesis testing, what does the test statistic primarily help to determine?
In hypothesis testing, what does the test statistic primarily help to determine?
In the context of a population and a sample, which of the following statements is most accurate?
In the context of a population and a sample, which of the following statements is most accurate?
Which of the following correctly describes population standard deviation ($\sigma$) and sample standard deviation (s)?
Which of the following correctly describes population standard deviation ($\sigma$) and sample standard deviation (s)?
A researcher wants to test if a sample came from a population with a specific mean, with a population of unknown variance, but is concerned about the distribution. What assumption addresses this concern?
A researcher wants to test if a sample came from a population with a specific mean, with a population of unknown variance, but is concerned about the distribution. What assumption addresses this concern?
When can a z-score still be utilized, even if the population standard deviation σ is unknown?
When can a z-score still be utilized, even if the population standard deviation σ is unknown?
What is a critical consideration when original population is normal and the population standard deviation is known, no matter how the sample size is?
What is a critical consideration when original population is normal and the population standard deviation is known, no matter how the sample size is?
What is the primary purpose of using test statistics, such as z-test or t-test, in statistical analysis?
What is the primary purpose of using test statistics, such as z-test or t-test, in statistical analysis?
A researcher is deciding between using a z-test and a t-test. What is the most important factor they should consider?
A researcher is deciding between using a z-test and a t-test. What is the most important factor they should consider?
In statistical hypothesis testing, what role does the Central Limit Theorem (CLT) play when the population distribution is not normal?
In statistical hypothesis testing, what role does the Central Limit Theorem (CLT) play when the population distribution is not normal?
What condition must be satisfied in order to use a t-test if the sample size is small?
What condition must be satisfied in order to use a t-test if the sample size is small?
Which of the following is an example of a test statistic?
Which of the following is an example of a test statistic?
Which of the following is TRUE regarding sample means?
Which of the following is TRUE regarding sample means?
Flashcards
Hypothesis Testing
Hypothesis Testing
A method of testing a claim or hypothesis about a parameter in a population using a data sample
Test Statistic
Test Statistic
A statistic calculated from sample data, used to determine whether to reject or accept the null hypothesis.
Population
Population
Includes all of the elements from a set of data.
Sample
Sample
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Sample Mean (x)
Sample Mean (x)
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Population Mean (μ)
Population Mean (μ)
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Population Standard Deviation (σ)
Population Standard Deviation (σ)
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Sample Standard Deviation (s)
Sample Standard Deviation (s)
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Population Variance (σ²)
Population Variance (σ²)
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Use z-test
Use z-test
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Use t-test
Use t-test
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z-test
z-test
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t-test
t-test
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Central Limit Theorem
Central Limit Theorem
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Study Notes
- Hypothesis testing is a method of testing a claim about a parameter in a population using a data sample.
- The likelihood that a sample statistic could be selected is determined in order to test the hypothesis.
- The process involves setting up a null hypothesis and an alternative hypothesis.
- After selecting a random sample and computing summary statistics, the likelihood is assessed to see if the sample data supports the alternative hypothesis.
- Statistical hypothesis requires analysis to determine the correct test statistics to use in computing the results and making decisions.
Key Terms
- Population: Includes all elements from a set of data.
- Sample: Consists of one or more observations drawn from the population.
- Sample mean (x̄): The mean of sample values collected.
- Population mean (μ): The mean of all the values in the population.
- The sample mean is a good estimate when the sample is randomly selected with a big sample size .
- Population standard deviation (σ): Is a parameter and measure of variability with a value calculated from every individual in the population.
- Sample standard deviation (s): Is a statistic and measure of variability calculated from only some of the individuals in a population.
- Population variance (σ²): Indicates how the population data points are spread out and is the average of the squared distances from each data point in the population to the mean.
- A test statistic is a random variable calculated from sample data and used to determine whether to reject or accept the null hypothesis.
- The test statistic compares the actual data against what is expected under the null hypothesis.
- To identify the test statistic, the population standard deviation/variance must be known.
Z-test vs T-test
- Use a z-test when the population standard deviation (σ) is known.
- The mean has a normal distribution when using a Z-test.
- Use a t-test when the population standard deviation (σ) is unknown.
- The mean has a t-distribution when using a T-test.
- Instead of population standard deviation (o), use the sample standard deviation (s).
Z-test
- A z-score is calculated with population parameters such as population mean and population standard deviation, assuming the sample is normally distributed.
- It validates a hypothesis that the sample drawn belongs to the same population.
- Use a Z-test statistic is used when the variance is known and either the distribution is normal or the sample size is large.
T-test
- Similar to the z-test, a t-test also assumes a normal distribution of the sample.
- A t-test is used when the population variance or standard deviation are not known.
- Use a t-test statistic when the variance is unknown and the sample size is less than 30 assuming that the population is normal or approximately normal.
Central Limit Theorem
- If the population is normally distributed or the sample size is large and the true population mean μ = μo, then z has a standard normal distribution.
- When population standard deviation ois not known, z-score may be used by replacing the population standard deviation o by its estimate, sample standard deviation s.
- The test statistic has a distribution approximately standard normal since the sample is large.
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