What is the sensitivity of this test? What is the specificity of this test?
Q: What is the sensitivity of the test? Explain the meaning of the statistic, in the context of this…
A: Statistic: a fact or piece of data obtained from a study of a large quantity of numerical data.
Q: What are the expected signs of the coefficients based on the data given
A: Given information: The output for multiple linear regression is given.
Q: What is the critical F statistic value if your total sample size is 50 and you are comparing three…
A:
Q: What do you need to look for in bivariate screening (for each categorical and quantative variables)?
A: Solution:Bivariate analysis helps to determine the relationship of two variables. The possible…
Q: Explain why Hausman test is performed?
A: Fixed effect model - It measures the changes within groups across time and remove bias in the…
Q: WHAT IS ROUND OFF ERROR? HOW ROUND OFF ERROR iIS USED?
A: A roundoff error's second name is rounding error.
Q: Explain what MSbetween and MSwithin measure for an independent-measures ANOVA. If the F-value is…
A: Analysis of Variance : ANOVA or Analysis of Variances is one of the most important fields in…
Q: What are test specificity and test sensitivity?
A: Specificity and sensitivity are two statistical measures to determine the efficiency of a binary…
Q: When is it useful to use ANOVA?
A: let us first understand what is ANOVA ANOVA is the statistical model in which we analyze the…
Q: a) Carry out a Chi-square test, and give the P-value, and state your conclusion using 5% threshold…
A: Given: α=0.05 1-3 hrs 4-6 hrs 7-9 hrs Total Community college students 110 99 48 257 4-year…
Q: Explain Z-Test for Large Sample Sizes ?
A: Z-test: For large samples (greater than 30), Z-test is a statistical test used to determine whether…
Q: What type of test would be ap are different from the average
A: From given data we have : sample size = 25 standard deviation = 5
Q: Explain the differences between a One-Way and a Two-Way Chi-Square Test. Which of these do you think…
A: One Way Chi-Square Test is used to test the general goodness of fit of the data i.e., it checks if…
Q: When would you use a factorial ANOVA and what are the three F values that are calculated?
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Q: Standard scores, such as z scores, allows us to make comparisons across different samples. Why is…
A: Standard score is the measure of the units of standard deviation between any given raw score and the…
Q: Suppose we want to use systolic blood pressure to predict diastolic blood pressure. The explanatory…
A: Solution
Q: What is LSD (least significant difference) test?
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Q: The average score of students during the past year in the statistics subject was 80%, and their…
A: Given Information: The average score of students during the past year in the statistics subject was…
Q: what is a hepothese test?
A: Hypothesis testing It is the test which is assumption of population parameter. It can be or cannot…
Q: Smaller p-values indicate more evidence in support of:
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Q: What are various t-tests?
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Q: What is Tukey’s HSD Test?
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Q: Explain Comparison of the Mean of Two Populations Overview cosidering Z-Test?
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Q: Explain one random and one systematic source of error in this experiment. How to reduce these…
A: To explain random and systematic source of error in experiment.
Q: When performing a x²-test for independence, what is the test statistic?
A: Chi square is used to determine the independence between the categorical variable. It used the…
Q: What is the difference between a Type I error and Type II error?
A: If we have two hypothesis , null hypothesis H0 and alternate hypothesis Ha. Here we test the null…
Q: What is the concept of Homoskedasticity-Only F-Statistic? how it is computed?
A: The concept of Homoskedasticity-only F-Statistic is: By adding the two variables, the…
Q: why t-test is preferable used by many statistician when conducting experiment? advantages and why…
A: A t-test is a statistical test that is used to compare the means of two groups. It is often used in…
Q: How to determine the critical value of a z-test and t-test? And What is the difference between…
A: The critical value which used to determine whether the null hypothesis is need to be rejected or…
Q: Explain why and how the interpretation of the calculated t- value in a t-test depends on the sample…
A: t-test for mean for mean is given by, t= (X bar - mu)/s/√n = √n* (X bar - mu)/s Where X bar is…
Q: What is the purpose of performing individual t-tests after carrying out the overall F-test? What are…
A: Overall F-test is useful for test whether the model is significant at overall. Individual t-tests…
Q: a. An investigator decided to conduct a research to describe the average number of females in each…
A: Given that an investigator decided to conduct a research to describe the average number of female in…
Q: s statistical test
A: Athlete Non-athlete Donut Bagel Donut Bagel Procedure for Hypothesis Testing is given as…
Q: For a right tail test. Determine the critical value of the test statistics at 5% level of…
A: Given data: Right tailed test 5% level of significance To calculate: The critical value of the test…
Q: What is different about the F-test comparted to an ANOVA?
A: In general, F-test and ANOVA do the same thing. Both of them measure the variation between the…
Q: What are Experimental errors?
A: Experimental errors: Experimental error is the difference between a measurement and the true value…
Q: What are the Class 1 error rate and the Class 0 error rate on the test data?
A: Class 1 error rate are false positives on test data Class 0 error rate are false negative on test…
Q: What are some different types of analyses I could run on a independent sample t-test?
A: Independent sample t-test : It compares the means between two unrelated group in order to find…
Q: What are post-hoc tests and why should you do these instead of multiple t-tests?
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Q: What is the Type II error probability of this test?
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Q: What is the difference between the goodness of fit and the test of independence in the chi-square…
A: Given data: What is the difference between the goodness of fit and the test of independence in the…
Q: What test should you use to analyze these results, and why? Will you use a one-tailed or a…
A: Given the table for the number of minutes of REM sleep during an 8 hour sleep period. You want to…
Q: What is the most appropriate test to determine if the three feed additives resulted to different…
A: Test is that whether the three feed additives resulted to different mean cortisol level of chickens.
Q: When do you use a z-test versus a t-test.
A: z-test: z-test is used when we have large sample size n>30. z-test assumes normal distribution…
Q: What is the equation for tSTAT? What are the hypothesis for an ANOVA test?
A: Take the value you got from subtracting μ from x-bar and divide it by the value you got from…
Q: Why is ANOVA more appropriate than multiple t-tests when comparing more than two groups?
A: The systematic methodology by which one can partition the cause of variation into several components…
Q: Pap smears are a diagnostic test used to detect cervical cancer. Although the test has high…
A: Specificity: Specificity is the proportion of people who test negative for any specific disease from…
Q: Give and Explain the similarities and differences between the z-test, t-test and ANOVA.
A: Similarities and differences between z-test t-test ANOVA are given below:
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- A severe storm has an average peak wave height of 16.4 feet for waves hitting the shore. Suppose that a storm is in progress with a severe storm class rating. Let us say that we want to set up a statistical test to see if the wave action (i.e., height) is dying down or getting worse. If you wanted to test the hypothesis that the waves are dying down, what would you use for the alternate hypothesis? Is the P-value area on the left, right, or on both sides of the mean? a. H1 : μ is less than 16.4 feet; the P-value area is on the right of the mean b. H1 : μ is not equal to 16.4 feet; the P-value area is on the right of the mean c. H1 : μ is not equal to 16.4 feet; the P-value area is on the left of the mean d. H1 : μ is greater than 16.4 feet; the P-value area is on the right of the mean e. H1 : μ is less than 16.4 feet; the P-value area is on the left of the meanThe so-called PEFR score (Peak Expiratory Flow Rate) is a measure used to measure lung function in asthma patients. The higher the value, the better the lungs function. The theory has long been that walking in cold weather has a positive effect on lung function. To investigate this theory, the Directorate of Health decided to conduct a study in which six asthma patients were randomly selected and allowed to walk outside in cold weather for one hour. Their PEFR score was measured before the walk and again after the walk, one hour later. The data can be seen below. Asthma patient number PEFR score before PEFR score after 1 300 312 2 201 342 3 232 340 4 312 388 5 220 296 6 256 254 PEFR scores in asthma patients can be expected to follow normal distribution. Justify which test is appropriate for this data to see if walking in cold weather for an hour has a positive effect on the lung function of asthma patients. Use α = 0.05. Present the hypotheses, examine the hypothesis…am i right ? pls help ill rate
- Please help me understand how to properly solve and understand. A researcher wanted to test if avid readers are more likely to wear glasses than those who read less frequently. 300 people were selected at random. Results are displayed in photo. The researcher wishes to test that the null hypothesis determines there is no association between the amount of reading and wearing glasses. Question: Under null hypothesis, determine the numerical value of the chi-square statistic.Dependent or Independent? Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman at different times (based on data from “Consistency of Blood Pressure Differences Between the Left and Right Arms,” by Eguchi et al., Archives of Internal Medicine, Vol. 167). Are the data dependent or independent?Heat flow is the passage of thermal energy from a hot to a cold body. This phenomenon is of particular interest to engineers, who attempt to understand and control the flow of heat through the use of thermal insulation and other devices. The data below were taken from heat flow gauge readings for an industrial process over 10 equally spaced time intervals. A concern is that the process may be cooling down as time progresses. One way to check this statistically is to compare the measurements for the first 5 time periods to the measurements for the last 5 time periods. You may assume that heat flow is approximately normal for each group. Time period 1 (Group 1): 9.273, 9.262, 9.243, 9.283, 9.270Time period 2 (Group 2): 9.240, 9.292, 9.284, 9.279, 9.258 Unless otherwise stated, give your answers to three decimal places. Construct a 95% confidence interval for the difference in mean heat flow. Give your answers to three decimal places. Use t∗=2.352t∗=2.352.( , ) Conduct a hypothesis…
- Show empirical ruleA total of 30 subjects are measured both before and after an intervention. What are the degrees of freedom for a t-test assessing if the subjects improved over time?A specimen of connective tissue (collagen) can be obtained from a beef steak. The temperature at which the collagen shrinks can be determined. A tender piece of meat tends to have a low collagen shrinkage temperature. So, the lower shrinkage temperature, the more tender the meat.It is believed that electrical stimulation of a beef carcass could improve the tenderness of the meat. In one study of this effect, beef carcasses were split in half; one side (half) was subjected to a brief electrical current and the other side was an untreated control. For each side, a steak was cut and tested in various ways for tenderness. In one test, the experimenter obtained a specimen of the connective collagen tissue from the steak and determined the temperature at which the tissue would shrink. The experimenter wishes to prove that electrical stimulation tends to improve the tenderness of the meat. The raw data are found in the table below. Let ? = 0.01. Table 1: Collagen Shrinkage Temperature…
- Interpret the estimated education coefficient. Is the estimate of the constant statistically significant at the 5% level? Explain how you reached this conclusion. Imagine you want to test with an F-test whether the effect of married and nonwhite are jointly significantly different from zero. Write down the null and alternative hypothesis for such a testUsing Traski-Vaught Test show thatDescribe the difference between parametric statistics and non-parametric statistics. What is an example of a test for each form of statistics?