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- The work week for adults in the US that work full time is normally distributed with a mean of 47 hours. A newly hired engineer at a start-up company believes that employees at start-up companies work more on average then most working adults in the US. She asks 12 engineering friends at start-ups for the lengths in hours of their work week. Their responses are shown in the table below. Test the claim using a 1% level of significance. Give answer to at least 4 decimal places. Hours 50 46 55 52 45 66 58 60 46 46 52 53 What are the correct hypotheses? H0: hoursH1: hours Based on the hypotheses, find the following:Test Statistic=p-value= The correct decision is to . The correct summary would be: that the mean number of hours of all employees at start-up companies work more than the US mean of 47 hours.Based upon the output provided, what is sample size?A simple random sample of 5 recently hospitalized migraine sufferers were given a new treatment; the results are listed below. Construct the 90% confidence estimate of the mean difference in the number of migraines per month before and after the treatment. Summary of # of migraines before and after treatment (5/3, 9/9, 7/4, 5/2, 3/4) Subject A Subject B Subject C Subject D Subject E # of migraines before 5 9 7 5 3 # of migraines after 3 9 4 2 4 **Let the first population be of the "before" results and the second population be of the "after" results.** The right hand critical value is . Round to 2 decimal places. The error is . Round to 2 decimal places. The mean difference in migraines per month is between and .
- Consider the time it takes, in minutes, for police officers to respond to a 911 call, where a life-threatening crime (an armed robbery, an assault, a shooting) is in progress. For a particular police jurisdiction, the average response time is 25 minutes with a standard deviation of 3 minutes. Assuming the data is symmetric and using the Empirical rule, what %% of the response times fall between 19 to 31 minutes. __68% __99.7% ___95% __86% __50% ___none of aboveA researcher is interested in investigating whether religious affiliation and the brand of sneakers that people wear are associated. The table below shows the results of a survey. Frequencies of Religions and Sneakers Nike Adidas Other Protestant 97 87 117 Catholic 68 50 80 Jewish 18 19 38 Other 64 83 70 What can be concluded at the αα = 0.05 significance level? The test-statistic for this data = (Please show your answer to three decimal places.) The p-value for this sample = (Please show your answer to four decimal places.) The p-value is Select an answer less than (or equal to) greater than αα Based on this, we should reject the null fail to reject the null accept the null Thus, the final conclusion is... There is sufficient evidence to conclude that sneaker brand and religious affiliation are dependent. There is insufficient evidence to conclude that the distribution of sneaker brand is not the same for each religion. There is insufficient evidence to…The work week for adults in the US that work full time is normally distributed with a mean of 47 hours. A newly hired engineer at a start-up company believes that employees at start-up companies work more on average then most working adults in the US. She asks 12 engineering friends at start-ups for the lengths in hours of their work week. Their responses are shown in the table below. Test the claim using a 5% level of significance. Give answer to at least 4 decimal places. Hours 46 49 58 55 49 68 45 48 46 45 51 50 What are the correct hypotheses? H0: hoursH1: hours Based on the hypotheses, find the following:Test Statistic=p-value= The correct decision is to . The correct summary would be: that the mean number of hours of all employees at start-up companies work more than the US mean of 47 hours.
- The work week for adults in the US that work full time is normally distributed with a mean of 47 hours. A newly hired engineer at a start-up company believes that employees at start-up companies work more on average then most working adults in the US. She asks 12 engineering friends at start-ups for the lengths in hours of their work week. Their responses are shown in the table below. Test the claim using a 10% level of significance. Give answer to at least 4 decimal places. Hours 49 40 58 52 49 70 49 59 47 49 53 55 What are the correct hypotheses? H0: hoursH1: hours Based on the hypotheses, find the following:Test Statistic=p-value= The correct decision is to . The correct summary would be: that the mean number of hours of all employees at start-up companies work more than the US mean of 47 hours.I need help with stats/2023 classify the 2 given samples as independent or dependent. sample 1: the number of home runs hit by 44 professional baseball players in their rookie season sample 2: the number of home runs hit by the same 44 professional baseball players in their final season. choose the correct answer: A. The 2 given samples are independent because the same athletes were sampled. B. The 2 given samples are independent because the different athletes were sampled C. The 2 given samples are dependent because the same athletes were sampled. D. The 2 given samples are dependent because different athletes were sampled.N1=26 n2=13 Mean1=48 mean2=45 Standard deviation1=9,2 Standard deviation2=4,1 b) Construct a 95% confidence interval to test whether the two sample means differs. Interpret your answers. c) State the assumptions used
- The work week for adults in the US that work full time is normally distributed with a mean of 47 hours. A newly hired engineer at a start-up company believes that employees at start-up companies work more on average then most working adults in the US. She asks 12 engineering friends at start-ups for the lengths in hours of their work week. Their responses are shown in the table below. Test the claim using a 1% level of significance. Give answer to at least 4 decimal places. Hours 45 50 60 50 48 61 54 49 50 48 55 50 (a) Determine the null and alternative hypotheses? Họ: Select an answer v hours H1: Select an answer hours (b) Determine the test statistic ? (c) Determine the p-value. p-value = (d) Make a decision. O Accept the alternative hypotheis Accept the null hypothesis Do not reject the null hypothesis O Reject the null hypothesisThe work week for adults in the US that work full time is normally distributed with a mean of 47 hours. A newly hired engineer at a start-up company believes that employees at start-up companies work more on average then most working adults in the US. She asks 12 engineering friends at start-ups for the lengths in hours of their work week. Their responses are shown in the table below. Test the claim using a 10% level of significance. Give answer to at least 4 decimal places. Hours 48 43 58 51 45 62 47 55 49 49 52 53 a. What are the correct hypotheses? Ho: Select an answer H₁: Select an answer b. Test Statistic = Based on the hypotheses, find the following: c. p-value = ? 0 ? 0 d. The correct decision is to Select an answer Add Work hours hours e. The correct summary would be: Select an answer hours of all employees at start-up companies work more than the US mean of 47 hours. that the mean number of