aames_hypothesistesting_02042024

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Rasmussen College, Florida *

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Statistics

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Feb 20, 2024

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Hypothesis Testing Ashley Ames Rasmussen University G163/STA1625 Section 01 Essential Statistics and Analytics Michael Frahm 02/04/2024
PART ONE: Situation One: It has been reported that the mean amount of sleep that adults receive is 7 hours per night. Your boss has asked you to investigate this statistic by conducting your own study. You gather 49 adults and find the following information. The mean amount of sleep was 6.2 hours with a standard deviation of 1.8 hours. Based on your results, you claim that adults receive less than 7 hours of sleep. Test your claim with a 0.05 significance level. 1 - Identify the Claim: Adults receive less than 7 hours of sleep. 2 - Give Symbolic Form: H 0 :μ > 7 3 - Identify Null and Alternative Hypothesis Null ( H 0 ) Hypothesis: Adults, on average, receive 7 hours of sleep. H0:μ = 7 Alternative (H a ) Hypothesis: Adults, on average, receive less than 7 hours of sleep. H 0 :μ < 7 4 - Select Significance Level: 0.05 5 - Identify the Test Statistic: -3.1116 (6.2-7)/1.8/ √49 6.2= sample mean, 7= 06 - Choose a Testing Method: 0.00156527 SEE EXCEL FOR WORK. P-value Method Critical Value Method 7 - Make a Decision Reject H 0 8 - Restate Decision in Non-technical Terms There is sufficient evidence at the 0.05(α) level of significance to support the claim that adults receive less than 7 hours of sleep. Situation Two: Your boss also would like you to look at average sleep for a specific age range (between 35 and 44 years of age). It has been previously reported that 38.3% of adults in this age range receive the recommended amount of sleep per night (at least 7 hours). You decide to test this claim by gathering 32 adults between the ages of 35 and 44 years old. In the sample, you find that 15 of the participants receive at least 7 hours of sleep. Test the claim that more than 38.3% of adults get the recommended amount of sleep per night with a significant level of 0.01. 1 - Identify the Claim: 38.3% of adults in the age range of 34-44 years receive the recommended amount of sleep per night of at least 7 hours. 2 - Give Symbolic Form H 0 = 38.3
3 - Identify Null and Alternative Hypothesis Null Hypothesis: 38.3% of adults get the recommended amount of sleep per night. H 0 = 38.3 Alternative Hypothesis: More than 38.3% of adults get the recommended amount of sleep per night. H 1 :μ >38.3 4 - Select Significance Level: 0.01 “… with a significance level of 0.01.” 5 - Identify the Test Statistic: 1.0008 6 - Choose a Testing Method= 0.1587 P-value Method Critical Value Method Z=1, Mean=0, SD=1, 1 7 - Make a Decision P-VALUE > .01 (SIGNIFICANCE LEVEL) DO NOT REJECT H 0 8 - Restate Decision in Non-technical Terms There is not sufficient evidence at the significance level of 0.01 to support the claim that more than 38.3% of adults get the recommended amount of sleep. PART TWO: Hypothesis Errors There are many errors that can occur when hypothesis testing. There are two types of errors: Type I and Type II. Type I errors are made when you reject the null hypothesis but when truly it is correct. This type of error isn’t the person’s fault that is doing the statistics but just an act of random sampling. To decrease the chance of Type I errors, we can decrease the significance level. Type II errors would be when the null hypothesis is not rejected but when truly it is false. This can occur because of small sample sizes and high data variability. We can decrease the chances of Type II errors by increasing our sample size.
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