The null and alternate hypotheses are:Ho: HasoHội thaoThe following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sampleof 4 days last month.Day shiftAfternoon shiftDayp-value2112 12 148 11 1241715At the 0.05 significance level, can we conclude there are more defects produced on the day shift? Hint For the calculations, assumethe day shift as the first sample.Required:a. What is the p-value? NOTE: P-value calculators are available through online search. (Round your answer to 4 decimal places.) a. What is the p-value? NOTE: P-value calculators are available through online search. (Round your answer to 4 decimal places)p-valueb. What is your decision regarding the null hypothesis?Reject H, ODo not reject Hec. What is the conclusion indicated by the analysis?There are more defective parts produced on

The given hypothesis is, Null hypothesis: H0:μd≤0 Alternative hypothesis: H1:μd>0

Answered: The null and alternate hypotheses are:…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Is Friday the 13th Unlucky? The table shows the number of hospital admissions for Friday the 6th and Friday the 13th. Assume that the two samples are randomly selected. At the 0.05 significance level, test the claim that there is no mean difference in the number of hospital admissions for Friday the 6th and Friday the 13th.(Be sure to subtract in the same direction). Friday 6th Friday 13th Difference 4 2 6 10 5 6 9 13 3 2 11 15 12 12 What are the correct hypotheses? (Select the correct symbols and values.)H0: Select an answer μ₁ μ(d) x̄₂ σ₁² x̄₁ s₁² p μ ? = < ≤ ≠ > ≥ Select an answer 0 μ₁ μ₂ x̄₁ p σ₁² s₁² x̄₂ μ H1: Select an answer x̄₂ μ₁ μ p μ₂ x̄₁ s₂² μ(d) σ₂² ? < ≥ ≠ = ≤ > Select an answer μ x̄₂ s₁² x̄₁ p 0 μ₂ σ₁² μ₁ Original Claim = Select an answer H₀ H₁ df = Based on the hypotheses, find the following: Test Statistic = (Round to three decimal places.)Critical value(s) = ±± (Round to three decimal places.)p-value = (Round…
A.6
1. What is the sample size? 2. According to the case, what should be the hypothesize mean? **Enter a numeric value** 3. What is the no hypothesis of this test? 4. What is the alternative hypothesis of this test? 5. Calculate the difference between the sample mean in the hypothesized mean?
Identify the two samples as either independent or dependent. 1. Two samples comparing pre and post semester scores for students in a class 2. A sample of air quality measurements taken in the spring and a sample of air quality measurements taken in the fall. 3. A survey comparing couples political beliefs 4. Sample exam means comparing two different classes 5. Before and after comparison of 500 meter run times, when comparing two different exercise programs Write the null and alternative hypothesis for each claim. Remember to use the difference notation D. 1. A statistics instructor claims his teaching can improve your exam scores 2. Using before and after rounds of golf, a coach claims that she can improve your golf game Listed below are heights in inches of fathers and their first sons. 72 73 Father Son Difference 1. Complete the table and find the differences 2. Use a 5% level of significance to test the claim there is no difference in heights between fathers and first sons. Before…
A researcher finds the following sample values: 2, 8, 6, 2, 7, 3, 4, 4, 5, 6, 7 At the .03 level, is there evidence to indicate the mean differs from the population mean of 2.15? 1. Critical Value (start with negative and separate with a comma if there are 2) 2. Test statistic 3. 3-decimal p-Value 4. Where is the test statistic on the graph Put: L-Left, M-Middle, R-Right
The average family size was reported as 7.2. A random sample of families in a particular school district resulted in the following family sizes: Size 4 9. 8. 4 8 9 At 1% level of significance, does the average family size different from the national average? Use traditional way of testing hypothesis. a. Mean family size of the sample: b. Sample variance: ct Test Value: d. Summarize your Interpretation: 4)
It is claimed that the mean household size in the River Terrace neighbourhood is 3.5 persons. A random sample of 25 households is taken. What statistical method will you use to determine if this statement is correct? Student's t-test z-test Chi-Square Test Fisher's Exact Test Leader's 25 lb test
Do Predicted Temperatures match Actual Temperatures? The table shows the predicted and actual temperatures for a seven day period. Assume that the two samples are randomly selected. At the 0.01 significance level, test the claim that there is no mean difference in the predicted and actual temperatures. (Be sure to subtract in the same direction). Predicted Temperatures °F Actual Temperatures °F Difference °F 87 87 83 85 78 75 81 86 85 90 80 81 76 79 What are the correct hypotheses? (Select the correct symbols and values.) Họ: Select an answer v? Select an answer H1: Select an answer ? v Select an answer Original Claim = Select an answer Select an answer H: Ho df =
16 34 41 21 340 A survey of 25 randomly selected customers found the ages shown (in years). The mean is 31.64 years and the standard deviation is 9.62 years. a) What is the standard error of the mean? 38 43 26 43 20 b) How would the standard error change if the sample size had been 400 instead of 25? (Assume that the sample standard deviation didn't change.) 26 20 36 32 32 35 11 25 48 30 31 25 40 46 38 a) The standard error of the mean is (Round to two decimal places as needed.) b) How would the standard error change the sample size was 400 instead of 25 with the same sample standard deviation? Select the correct choice below and fill in any answer boxes within your choice. O A. The standard error would increase. The new standard error would be times the old, O B. The standard error would decrease. The new standard error would be the old standard error divided by O C. The standard error would not change.
The data below show sport preference and age of participant from a random sample of members of a sports club. Is there evidence to suggest that they are related? Frequencies of Sport Preference and Age Swimming 85 ATTI Tennis Basketball 18-25 98 88 26-30 104 100 46 31-40 62 63 40 54 30 Over 40 63 What can be concluded at the = 0.10 significance level? a. What is the correct statistical test to use? O Homogeneity O Paired t-test O Goodness-of-Fit O Independence b. What are the null and alternative hypotheses? Ho: O The age distribution is the same for each sport. The age distribution is not the same for each sport. O Age and sport preference are dependent. O Age and sport preference are independent. H1: O Age and sport preference are independent. O The age distribution is not the same for each sport. O Age and sport preference are dependent. O The age distribution is the same for each sport.
olve this ! A FT N K Since an instant replay system for tennis was introduced at a major tournament, men challenged 1412 referee calls, with the result that 411 of the calls were overturned. Women challenged 764 referee calls, and 227 of the calls were overturned. Use a 0.01 significance level to test the claim that men and women have equal success in challenging calls. Complete parts (a) through (c) below. @ Consider the first sample to be the sample of male tennis players who challenged referee calls and the second sample to be the sample of female tennis players who challenged referee calls. What are the null and alternative hypotheses for the hypothesis test? 2 OA H₂: Py ZP₂ H₁: P₁ *P₂ OD. Ho: Py SP₂ H₂: Py #P₂ Identify the test statistic. z = -0.30 (Round to two decimal places as needed.) Identify the P-value. View an example Get more help. ** F2 S W P-value 0.764 (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? command X # The…
Is Friday the 13th Unlucky? The table shows the number of hospital admissions for Friday the 6th and Friday the 13th. Assume that the two samples are randomly selected. At the 0.05 significance level, test the claim that there is no mean difference in the number of hospital admissions for Friday the 6th and Friday the 13th.(Be sure to subtract in the same direction). Friday 6th Friday 13th Difference 4 2 6 10 5 6 9 13 3 2 11 15 12 12

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