Question

Consider the following hypotheses: H0: μ = 10 HA: μ ≠ 10 The population is normally...

Consider the following hypotheses:

H0: μ = 10
HA: μ ≠ 10


The population is normally distributed. A sample produces the following observations: (You may find it useful to reference the appropriate table: z table or t table)

9 15 7 12 9 7 14



a. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.)

A polygraph (lie detector) is an instrument used to determine if an individual is telling the truth. These tests are considered to be 92% reliable. In other words, if an individual lies, there is a 0.92 probability that the test will detect a lie. Let there also be a 0.004 probability that the test erroneously detects a lie even when the individual is actually telling the truth. Consider the null hypothesis, "the individual is telling the truth," to answer the following questions.

b. What is the probability of a Type I error? (Round your answer to 3 decimal places.)
  



c. What is the probability of a Type II error? (Round your answer to 2 decimal places.)
  



Homework Answers

Answer #1

The solution should be as follows:

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A polygraph (lie detector) is an instrument used to determine if an individual is telling the...
A polygraph (lie detector) is an instrument used to determine if an individual is telling the truth. These tests are considered to be 90% reliable. In other words, if an individual lies, there is a 0.90 probability that the test will detect a lie. Let there also be a 0.045 probability that the test erroneously detects a lie even when the individual is actually telling the truth. Consider the null hypothesis, "the individual is telling the truth," to answer the...
A polygraph (lie detector) is an instrument used to determine if an individual is telling the...
A polygraph (lie detector) is an instrument used to determine if an individual is telling the truth. These tests are considered to be 93% reliable. In other words, if an individual lies, there is a 0.93 probability that the test will detect a lie. Let there also be a 0.040 probability that the test erroneously detects a lie even when the individual is actually telling the truth. Consider the null hypothesis, "the individual is telling the truth," to answer the...
A polygraph (lie detector) is an instrument used to determine if an individual is telling the...
A polygraph (lie detector) is an instrument used to determine if an individual is telling the truth. These tests are considered to be 99% reliable. In other words, if an individual lies, there is a 0.99 probability that the test will detect a lie. Let there also be a 0.003 probability that the test erroneously detects a lie even when the individual is actually telling the truth. Consider the null hypothesis, "the individual is telling the truth," to answer the...
A lie detector test detects a person telling a lie 50% of the time, but 11%...
A lie detector test detects a person telling a lie 50% of the time, but 11% of the time it detects a lie when a person is telling the truth. Consider the null hypothesis, "a person is telling the truth during a lie detector test." What is the probability of a Type I error? Write your answer as a decimal value.
Consider the following hypotheses: H0: μ = 32 HA: μ ≠ 32 The population is normally...
Consider the following hypotheses: H0: μ = 32 HA: μ ≠ 32 The population is normally distributed. A sample produces the following observations: (You may find it useful to reference the appropriate table: z table or t table) 31 32 33 37 37 31 37 Click here for the Excel Data File a. Find the mean and the standard deviation. (Round your answers to 2 decimal places.) b. Calculate the value of the test statistic. (Round intermediate calculations to at...
Consider the following hypothesis test. H0: μ ≥ 10 Ha: μ < 10 The sample size...
Consider the following hypothesis test. H0: μ ≥ 10 Ha: μ < 10 The sample size is 125 and the population standard deviation is assumed known with σ = 5. Use α = 0.05. (a) If the population mean is 9, what is the probability that the sample mean leads to the conclusion do not reject H0?  (Round your answer to four decimal places.) (b) What type of error would be made if the actual population mean is 9 and we...
Consider the following hypotheses: H0: μ = 6,200 HA: μ ≠ 6,200 The population is normally...
Consider the following hypotheses: H0: μ = 6,200 HA: μ ≠ 6,200 The population is normally distributed with a population standard deviation of 700. Compute the value of the test statistic and the resulting p-value for each of the following sample results. For each sample, determine if you can "reject/do not reject" the null hypothesis at the 10% significance level. (You may find it useful to reference the appropriate table: z table or t table) (Negative values should be indicated...
Consider the following hypotheses: H0: μ = 9,100 HA: μ ≠ 9,100 The population is normally...
Consider the following hypotheses: H0: μ = 9,100 HA: μ ≠ 9,100 The population is normally distributed with a population standard deviation of 700. Compute the value of the test statistic and the resulting p-value for each of the following sample results. For each sample, determine if you can "reject/do not reject" the null hypothesis at the 10% significance level. (You may find it useful to reference the appropriate table: z table or t table) (Negative values should be indicated...
Consider the following hypotheses: H0: μ = 1,800 HA: μ ≠ 1,800 The population is normally...
Consider the following hypotheses: H0: μ = 1,800 HA: μ ≠ 1,800 The population is normally distributed with a population standard deviation of 440. Compute the value of the test statistic and the resulting p-value for each of the following sample results. For each sample, determine if you can "reject/do not reject" the null hypothesis at the 10% significance level. (You may find it useful to reference the appropriate table: z table or t table) (Negative values should be indicated...
Consider the following hypothesis test. H0: μ ≥ 10 Ha: μ < 10 The sample size...
Consider the following hypothesis test. H0: μ ≥ 10 Ha: μ < 10 The sample size is 120 and the population standard deviation is 5. Use α = 0.05. If the actual population mean is 9, the probability of a type II error is 0.2912. Suppose the researcher wants to reduce the probability of a type II error to 0.10 when the actual population mean is 10. What sample size is recommended? (Round your answer up to the nearest integer.)