What does a statistically significant t test indicates?
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Q: alue for a right-tailed test using a significance level of ?=0.02.α=0.02
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Q: 1. Was a dependent or independent t-test used to analyze the data? How do you know?
A: Note: According to Bartleby guidelines expert solve only one question and rest can be reposted.
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What does a statistically significant t test indicates?
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- Use the pulse rates in beats per minute (bpm) of a random sample of adult females listed in the data set available below to test the claim that the mean is less than 69bpm. Use a 0.05 significance level. Determine the p-value, test statistic, and whether to reject or support the null hypothesis. Pulse Rates (bpm)4758945542428462993656838640967652866179101964387103596043524566974010140833853398649613552933856446594Daily Driving The average number of miles a person drives per day is 24. A researcher wishes to see if people over age 60 drive less than 24 miles per day. She selects a random sample of 33 drivers over the age of 60 and finds that the mean number of miles driven is 21.8. The population standard deviation is 4.1 miles. At a=0.01, is there sufficient evidence that those drivers over 60 years old drive less than 24 miles per day on average? Assume that the variable is normally distributed. Use the critical value method with tables. Part: 0 / 5 Part 1 of 5 State the hypotheses and identify the claim with the correct hypothesis. Ho: (Choose one) H : (Choose one) ▼ The hypothesis test is a (Choose one) test.5- Level refers to a categorical quantity under examination in an experiment as a possible cause of variation in the response variable. Select one: True False
- A statistic center compiles data on the length of stay by patients in short-term hospitals. A random sample of 21 patients yielded the data on length of stay, in days, shown below. Complete parts (a) through (e) below. 25 2 5 9 3 21 55 23 23 7 23 5 6 17 25 5 23 13 17 23 a. Obtain and interpret the quartiles. Q1 Q2 Q3 %3D II II IIThe estimated standard error in the denominator of the repeated-measures t statistic measures the typical mean difference that is expected for a sample selected from a population with a zero mean difference. True or False?10. Gravetter/Wallnau/Forzano, Essentials - Chapter 9 - End-of-chapter question 15 Weinstein, McDermott, and Roediger (2010) report that students who were given questions to be answered while studying new material had better scores when tested on the material compared to students who were simply given an opportunity to reread the material. In a similar study, an instructor in a large psychology class gave one group of students questions to be answered while studying for the final exam. The overall average for the exam was u = 73.4, but the n = 16 students who answered questions had a mean of M = 78.3 with a standard deviation of s = 8.4. For this study, did answering questions while studying produce significantly higher exam scores? Use a one-tailed test with a = .01 and the Distributions tool to help. (Round your answers to three decimal places, when needed.) t Distribution Degrees of Freedom = 21 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 SM %3D t-critical %3D
- The table below shows the mean number of daily errors by air traffic controller trainees during the first two weeks on the job. We want to perform a paired t-test at a = .05 to see if the mean daily errors decreased significantly Trainee T1 T2 T3 T4 T5 T6 T7 Week 1 5.1 3. 12.1 6.2 11.5 7.8 2.2 Week 2 3.2 2.2 8.7 7.7 9.4 7.8 3.1 The test statistic is; O 1.25 O 1.75 O 0.87 O 0.79Daily Driving The average number of miles a person drives per day is 24. A researcher wishes to see if people over age 60 drive less than 24 miles per day. She selects a random sample of 25 drivers over the age of 60 and finds that the mean number of miles driven is 23.4. The population standard deviation is 4.1 miles. At a = 0.01, is there sufficient evidence that those drivers over 60 years old drive less than 24 miles per day on average? Assume that the variable is normally distributed. Use the critical value method with tables. Part 1 of 5 State the hypotheses and identify the claim with the correct hypothesis. H: u = 24 not claim Η: μ 24 claim The hypothesis test is a one-tailed test. Part: 1/5 Part 2 of 5 Find the critical value(s). Round the answer to at least two decimal places. If there is more than one critical value, separate them with commas. Critical value(s):Your company wants to improve sales. Past sales data indicate that the average sale was €100 per transaction. After training your salesforce, recent sales data (taken from a sample of 25 salespeople) indicates an average sale of €130, with a standard deviation of €15. Did the training work to improve sales in the population? Test your hypothesis at a 5% alpha level. Is this a two-tailed test or a one-tailed test? Why? Answer: State the Null Hypothesis Answer: State the Alternative Hypothesis Answer: State the critical value(s) (make sure you are reading from the correct row-column combo on the T table) Answer: Calculate the t-test statistic or value (show your workings) Answer: Based on your answers to questions 18 & 19 are you rejecting or accepting the Null Hypothesis? Answer: What is the meaning of this in terms of the proplem posed? Answer:
- Data were collected from 400 patients in the US about their estrogen level. Out of the 400, 35 patient have abnormal estrogen levels. On a national level, 8 % of patients have abnormal estrogen level. Researchers want to know the sample proportion differs from the national level. 5% is used for significance. Give the Ho and Ha. The appropriate test. Decision rule. Test calculations. Conclusion with comparison to alpha or critical value. I think this is a two tailed test. Use a one sample t- test. I think the null is rejected. t (40-1) = (400-35) / (.05 divided by sqrt 31) This is where I get stuck.You are conducting a study to see if the proportion of voters who prefer Candidate A is significantly more than 0.71. Thus you are performing a right-tailed test. Your sample data produce the test statistic z = 3.006. Find the p-value accurate to 4 decimal places. p-value =Test the claim that for the population of statistics final exams, the mean score is 79 using alternative hypothesis that the mean score is different from 79. Sample statistics include ?=17, x¯=80, and ?=16.s=16. Use a significance level of ?=0.01.. (Assume normally distributed population.)The test statistic is
