(4.6 points for the correct answer. 1 bonus point if you hav…
(4.6 points for the correct answer. 1 bonus point if you have correctly answered five of Questions 1 through 5 and Question 7.) A programmer writes 600 lines of computer code in 13 days. Then there must have at least 1 day when the programmer wrote 45 or more lines of code.
Read DetailsThe digital product director of a mobile app company claimed…
The digital product director of a mobile app company claimed that three different app layouts (Layout A, Layout B, and Layout C) result in the same average user session length. A data analyst hoped to do a test to show that at least one of the average session lengths is different. Based on user session data collected for all three layouts, the analyst performed a one-way ANOVA at a 99% confidence level. The resulting ANOVA table is shown below: Source SS df MS F F crit Between Groups 52.8 2 26.4 4.15 3.23 Within Groups 315.6 48 6.58 Total 368.4 50 Based on a 95% confidence level, the test statistic is _______ , the critical value is _______ . We (fill in “do” or “do not”) _______ have enough evidence to reject the null hypothesis.
Read DetailsA regional hospital administrator claimed that the proportio…
A regional hospital administrator claimed that the proportion of patients who return for follow-up appointments is the same for Clinic A and Clinic B. A health-care analyst hoped to do a test to show that Clinic A has a higher return rate than Clinic B. The analyst surveyed 420 patients at Clinic A and found that 147 returned for their follow-up appointment. She also found that 102 out of 390 patients surveyed at Clinic B returned for their follow-up appointment. One of the following calculations is the correct one to answer this question: Two Population Proportions – Independent Two Tailed One Tailed Lower One Tailed Upper p1-p2 0.00 p1-p2 0.00 p1-p2 0.00 Level of Significance (α) 0.05 Level of Significance (α) 0.05 Level of Significance (α) 0.05 Critical Value +/- 1.9600 Critical Value -1.6449 Critical Value 1.6449 Test Statistic Calculation Test Statistic Calculation Test Statistic Calculation x1 147.00 x1 147.00 x1 147.00 x2 102.00 x2 102.00 x2 102.00 Sample Size1 (n1) 420.00 Sample Size1 (n1) 420.00 Sample Size1 (n1) 420.00 Sample Size2 (n2) 390.00 Sample Size2 (n2) 390.00 Sample Size2 (n2) 390.00 sample prop1 (p̅1) 0.35 sample prop1 (p̅1) 0.3500 sample prop1 (p̅1) 0.3500 sample prop2 (p̅2) 0.2615 sample prop2 (p̅2) 0.2615 sample prop2 (p̅2) 0.2615 Pooled Estimate (p̂) 0.3074 Pooled Estimate (p̂) 0.3074 Pooled Estimate (p̂) 0.3074 Test Statistic 2.7263 Test Statistic 2.7263 Test Statistic 2.7263 p-Value p-Value p-Value two-tailed 0.0064 Lower-tailed 0.9968 Upper-tailed 0.0032 Base on the correct calculation, the null hypothesis is: _______ The alternative hypothesis is: _______ The test statistic is: _______ The critical value is: _______ The p-value is: _______ Do we have enough evidence to reject the null hypothesis? (fill in “Yes” or “No”) _______
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