The ________ refers to the areas in the tails of the distribution in which we determine...
The ________ refers to the areas in the tails of the distribution in which we determine statistical significance or rejection of the null hypothesis.
| a. |
critical value |
|
| b. |
standard error |
|
| c. |
critical region |
|
| d. |
hypothesis |
Homework Answers
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The ________ refers to the areas in the tails of the
distribution in which we determine...
Figure 1. Vertical li indicate the 2.5% tails of the alternate distribution. In other words, the ...
please answer questions
Figure 1. Vertical li indicate the 2.5% tails of the alternate distribution. In other words, the red areas (area 0 and 8) sum to 5%, and areas 2, 3, 7 also sums to 5%. dicate the 2.5% tails of the null distribution, while B and D alternate distribution null distribution test statistic Consider a two-sided null hypothesis test with 0.05 as significance level. From the above probability density plot, identify the corresponding areas, or test statistic value...
In the figure below, vertical lines A and C indicates to the 2.5% tails of the...
In the figure below, vertical lines A and C indicates to the 2.5% tails of the null distribution, while B and D indicates the 2.5% tails of the alternate distribution. In other words, the red areas (area 0 and 8) sum to 5%. If the significance level alpha-5%, which area corresponds to the probability of correctly rejecting null hypothesis when the alternate hypothesis is true (i.e., the statistical power)? (assume a two-sided test) For your answer, select any areas that...
you determine tiC meam and When designing statistical tests we need to consider a number of...
you determine tiC meam and When designing statistical tests we need to consider a number of different factors. Please, explain shortly the following: 3 What is the test significance level and its correspondence to confidence interval? a) b) What are the Type I (false positive) and Type II (false negative) errors? Assume that the rejection region is R and the null hypothesis in Ho? error types? What is the connection between the respective c) What is the meaning of a...
1. What are type I and type II errors? 2. How do we determine the critical...
1. What are type I and type II errors? 2. How do we determine the critical numbers and/or critical regions for a hypothesis test? 3. Explain when to use a 2-test, a t-test, a x-test, and an F-test. 4. How does decreasing the significance level affect the probability of a type I error? 5. If the correlation between two variables is significant, does one cause the other? 6. What does measure? 7. A real estate agent believes that the average...
A one-tailed test is a a. hypothesis test in which rejection region is only in the...
A one-tailed test is a a. hypothesis test in which rejection region is only in the upper tail of the sampling distribution b. hypothesis test in which rejection region is in both tails of the sampling distribution c. hypothesis test in which rejection region is only in the lower tail of the sampling distribution d. hypothesis test in which rejection region is in one tail of the sampling distribution
1. A ___________ is a statistical interval around a point estimate that we can provide a...
1. A ___________ is a statistical interval around a point estimate that we can provide a level of confidence to for capturing the true population parameter. population parameter confidence level point estimate confidence interval standard error of the mean 2. Which of the following best describe the standard error of the mean? It is the difference between an observed sample mean and the true population mean It is the statistical interval that provides a level of confidence around an observed...
1. If z (obtained) is outside of the critical region then the researcher would typically? a....
1. If z (obtained) is outside of the critical region then the researcher would typically? a. Reject the null hypothesis b. Not reject the null hypothesis c. Modify the weight of the outliers d.Decrease the sample size 2.Assuming that the null hypothesis states that the defendant is innocent, if the defendant is found guilty when actually innocent would exemplify a a. Standard error b. Standard deviation c. Type I error d. Type II error 3.Z (obtained) is the _____. a....
The frequency distribution shows the results of 200 test scores Are the test scores nomally distributed? Use α-0.10 Complete parts is) through (e) Class boundaries Frequency, 49.5-585 2D 58.5-67.5 51...
The frequency distribution shows the results of 200 test scores Are the test scores nomally distributed? Use α-0.10 Complete parts is) through (e) Class boundaries Frequency, 49.5-585 2D 58.5-67.5 51 67.5-76.5 B0 76.5-85.5 35 95.5-94.5 Using a chi-square goodness-of-fit test, you can decide, with some degree of certainty whether a variable is normally distributed. In all chi-square tests for nomality the null and alternative hypotheses are as follows Ho The test scores have a nomal distribution Ha The test scores...
2) An experiment is conducted to determine if the mean values are equal or not equal...
2) An experiment is conducted to determine if the mean values are equal or not equal for a P process, The following data on the mean life of the P process are sampled using Pl & P2 samples and the times to failure are indicated as follows: Test the hypothesis at the 5% significance level, that the mean values are equal ? P1 P2 a). What type of statistical test would you apply to test the hypothesis? b) State the...
Question: GRAPH the rejection region, p-value and critical value. (Create the normal distribution curve) Explain why...
Question: GRAPH the rejection region, p-value and critical value. (Create the normal distribution curve) Explain why we failed to reject the null hypothesis, the significance of this ALL OF THE DATA IS ALREADY PROVIDED including the critical value, test statistics etc. YOU Don't need to solve anything just GRAPH THE REJECTION REGION, p-value, critical value. etc and explain why we failed to reject the null as provided below. DATA: According to data, 72.4% of the population in Kahului, Maui drive...
please answer questions
Figure 1. Vertical li indicate the 2.5% tails of the alternate distribution. In other words, the red areas (area 0 and 8) sum to 5%, and areas 2, 3, 7 also sums to 5%. dicate the 2.5% tails of the null distribution, while B and D alternate distribution null distribution test statistic Consider a two-sided null hypothesis test with 0.05 as significance level. From the above probability density plot, identify the corresponding areas, or test statistic value...
In the figure below, vertical lines A and C indicates to the 2.5% tails of the null distribution, while B and D indicates the 2.5% tails of the alternate distribution. In other words, the red areas (area 0 and 8) sum to 5%. If the significance level alpha-5%, which area corresponds to the probability of correctly rejecting null hypothesis when the alternate hypothesis is true (i.e., the statistical power)? (assume a two-sided test) For your answer, select any areas that...
you determine tiC meam and When designing statistical tests we need to consider a number of different factors. Please, explain shortly the following: 3 What is the test significance level and its correspondence to confidence interval? a) b) What are the Type I (false positive) and Type II (false negative) errors? Assume that the rejection region is R and the null hypothesis in Ho? error types? What is the connection between the respective c) What is the meaning of a...
1. What are type I and type II errors? 2. How do we determine the critical numbers and/or critical regions for a hypothesis test? 3. Explain when to use a 2-test, a t-test, a x-test, and an F-test. 4. How does decreasing the significance level affect the probability of a type I error? 5. If the correlation between two variables is significant, does one cause the other? 6. What does measure? 7. A real estate agent believes that the average...
The frequency distribution shows the results of 200 test scores Are the test scores nomally distributed? Use α-0.10 Complete parts is) through (e) Class boundaries Frequency, 49.5-585 2D 58.5-67.5 51 67.5-76.5 B0 76.5-85.5 35 95.5-94.5 Using a chi-square goodness-of-fit test, you can decide, with some degree of certainty whether a variable is normally distributed. In all chi-square tests for nomality the null and alternative hypotheses are as follows Ho The test scores have a nomal distribution Ha The test scores...
2) An experiment is conducted to determine if the mean values are equal or not equal for a P process, The following data on the mean life of the P process are sampled using Pl & P2 samples and the times to failure are indicated as follows: Test the hypothesis at the 5% significance level, that the mean values are equal ? P1 P2 a). What type of statistical test would you apply to test the hypothesis? b) State the...
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