test statistic for a hypothesis test on a proportion came out to z=−1.82z=-1.82 ALSO illustrate the region your are finding on a normal curv

Read this sentence from the results section of a recent publication regarding the perception of emotions in crowds:"Supporting the crowd-emotion-amplification hypothesis, results showed that the estimated mean crowd emotion was 2.87 points higher (scale from 1 to 50) than the actual mean crowd emotion...  t(14533) = 16.8, p < .001...".Assume the authors conducted a one-sample t-test. How many people were in their study analysis?

Consider the information above and in question 1. It is conjectured that the mean number of people attending all 2017 Veterans Day celebrations is 145, and of interest is to test this conjecture versus the alternative that the mean number of people attending all 2017 Veterans Day celebrations is different from 145 people To test the hypothesis, a simple random sample of 41 Veterans Day celebrations was selected and the number of people attending each was recorded. The mean number of people attending for this sample of 41 celebrations was 157, with a standard deviation of 23 people. The distribution of the data was bimodal. If appropriate, use this information to test the hypotheses stated in question 3 at the a= .05 level of significance. 4 Are the assumptions met? Yes, because there is a simple random sample Yes, because there is a simple random sample and the population is normally distributed Yes, because there is a simple random sample and the sample size is large enough for the…

QUESTION 11 You hypothesize that drinking tea reduces stress levels so you design a study comparing stress levels between people who drink tea and people who do not drink tea. You collect data on 47 people and find that in your sample there are 21 people who do not drink tea a Ind 26 people who drink drink tea. The mean stress score for non-tea drinkers is 76 with a standard deviation of 25, while the mean score for those who drink tea is 62 with a standard deviation of 13. Above you have calculate the t-statistic and found the critical value of t. Based on this information, which of the follow statements is correct? O you accept the null hypothesis because your calculated t-statistic value is greater than the critical value of t O you reject the null hypothesis because your calculated t-statistic value is greater than the critical value of t O you accept the null hypothesis because your calculated t-statistic value is less than than the critical value of t O you accept the null…

Question 2 At the end of 2020, the mean age of the U.S. population was estimated to be 38.5 years old. You are tasked with determining whether the mean age of the population of IAT participants (for your chosen IAT data set) differs from the mean age of the U.S. population. 1. Let be the mean age of the population of IAT participants for your chosen IAT data set. State the hypotheses (symbolically and in words). Include a clear description of the populations and the variable. 2. 3. 4. Use StatCrunch to create a histogram for the age distribution in your unique IAT sample. Download the StatCrunch output window and embed your histogram with your response. Can we safely use the t-test with your IAT sample? Explain. Perform the t-test using StatCrunch. Copy the information from the StatCrunch output window and paste it into your response. Based on the P-value, state your conclusions in context. Use a 5% level of significance. (NOTE: Since StatCrunch correctly calculates the P-value for…

Consider the information above and in question 1. It is conjectured that the mean number of people attending all 2017 Veterans Day celebrations is 145, and of interest is to test this conjecture versus the alternative that the mean number of people attending all 2017 Veterans Day celebrations is different from 145 people To test the hypothesis, a simple random sample of 41 Veterans Day celebrations was selected and the number of people attending each was recorded. The mean number of people attending for this sample of 41 celebrations was 157, with a standard deviation of 23 people. The distribution of the data was bimodal. If appropriate, use this information to test the hypotheses stated in question 3 at the a = .05 level of significance. O 7 What is the p-value? 0.05 p-value < 0.10 0.0005 0.03 0.001 < p-value < 0.002 0.0008 4-

Question #3  Samples of body temperatures were collected for a group of women and a group of men. The summary statistics are given below: Women:n1 = 15 sample mean = 98.38 ̊F s1 = 0.45 ̊F Men:n2= 91 sample mean= 98.17 ̊F s2 = 0.65 ̊F 1. Use a 0.01 significance level to test the claim that women and men have different mean body temperatures using the p value method. Show all the steps of your hypothesis test including  the p value: initial conclusion: a final conclusion about the original claim:

10. For which of the following cases would you use a t-test statistic? A. Where the population distribution is not normal, the population variance is not known and the sample size is below 25. B. Where the population distribution is not normal but the population variance is known. C. Where the population distribution is normal, the population variance is not known and the sample size is below 25. D. Where the population distribution is normal, the population variance is known and the sample size is 25 or more.

Question4: The times for untrained rats to run a standard maze has a normal distribution where the times are measured in seconds. The researcher hopes to show that training improves the times. A sample of 9 rats were selected and the time to run a standard maze before and after training were measured in seconds and shown below. Does the data support the researcher’s hypothesis? Conduct a hypothesis test at 5% significant level (specify 4 steps).

The question is complete, find part a-e on the images and part f on text below