For a right-tail test, if the test statistic is greater than the critical valu what conclusion would be reached? *
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Q: The work week for adults in the US that work full time is normally distributed with a mean of 47…
A: Denote μ as the population mean working hours.
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Q: The work week for adults in the US that work full time is normally distributed with a mean of 47…
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Q: The work week for adults in the US that work full time is normally distributed with a mean of 47…
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Q: The work week for adults in the US that work full time is normally distributed with a mean of 47…
A: Solution: n= 12 Sample size μ=47 Population Mean ∑x=622x=∑xn=62212=51.8333 Sample…
Q: The work week for adults in the US that work full time is normally distributed with a mean of 47…
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Q: The work week for adults in the US that work full time is normally distributed with a mean of 47…
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Q: The work week for adults in the US that work full time is normally distributed with a mean of 47…
A: Answer Given,The level of significance = 1% = 0.01The sample size [n] = 12
Q: The work week for adults in the US that work full time is normally distributed with a mean of 47…
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Q: The work week for adults in the US that work full time is normally distributed with a mean of 47…
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Q: he work week for adults in the US that work full time is normally distributed with a mean of 47…
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Q: The work week for adults in the US that work full time is normally distributed with a mean of 47…
A: Given data: Population mean = 47 Sample size = 12 Significance level = 0.05
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Q: The work week for adults in the US that work full time is normally distributed with a mean of 47…
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Q: The work week for adults in the US that work full time is normally distributed with a mean of 47…
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Q: The work week for adults in the US that work full time is normally distributed with a mean of 47…
A: Step 1:Given:Sample size, n = 12Data454951554768465545495351Step 2:Goal:State the Null and…
Q: The work week for adults in the US that work full time is normally distributed with a mean of 47…
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- which of these comparison between an ANOVA and t test is correct? A. a t test provides more flexibilty in research studies than an ANOVA B. An ANOVA examines wheater mean differences exists between conditions wheres t test does not C. An ANOVA can be used to compare three or more conditions wheres a t test cannot D. A t test can be used to compare two conditions wheres an ANOVA cannot.Assume that the IQ score in this situation is measured using the standard-binet intelligence test, will the statistical decision change?a sample of employees is selected and it is found that 45% own a computer which is it a statistic or a parameter
- 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.Researchers were interested in assessing whether stress levels are different at the beginning of the semester compared to finals week. To test this, stress was measured in 5 students at the start of the semester and then again at the end of the semester during finals week. Participant Stress 1 Stress 2 Difference Score (Di) (Di - Mdiff)2 1 22 22 0 2 32 34 -2 3 24 25 -1 4 28 30 -2 5 26 29 -3 What is the observed test statistic (i.e., tobs)? Round to 2 decimal places.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.
- 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 worker on examining his 20 rainfall sample points concluded that it is more than likely to rain on this May 1st. Describe two or three statistical steps he took to arrive at this conclusion.Describe a study in which you can use both nonparametric and parametric statistics. A researcher has participants expecting to receive either painful or mild electrical shocks during a study wait in a quarter-full waiting room with other participants. He then measures whether they choose to sit next to other participants or if they sit far away on their own. What is the best test to run for this study and why?
