They conducted an experiment with a large monitor and measured processing time. After reviewing 20 documents, the calculated average processing time per document was 190.58 seconds. The manager believes that a bigger monitor helped reduce the processing time for reviewing foreclosure documents. Conduct a hypothesis test using a 95% confidence level, which means that significance level a = 0.05. Step 3: Calculate the Test Statistics Calculate the test statistics based on the test type determined in Step 1. If the determination was done correctly, you should use this formula to calculate the test statistics. Test statistics = ?

Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.

A graduate student believes that people consider faces with more contrast between lip color and skin tone as more feminine. She identifies the null hypothesis as: Ho: The level of contrast between lip color and skin tone does not affect how feminine a face is considered. She chooses a significance level of 0.05. After she collects the data and computes the sample statistics, it is time for her to make a decision about the null hypothesis. What are the two possible decisions that the graduate student can make? Check all that apply. There is not enough evidence to reject the hypothesis that the contrast between lip color and skin tone affects how feminine a face is considered. There is enough evidence to reject the hypothesis that the contrast between lip color and skin tone does not affect how feminine a face is considered. There is enough evidence to reject the hypothesis that the contrast between lip color and skin tone affects how feminine a face is considered. ☐ There is not enough…

Please answer the second question. Thank you.

Researchers were interested in play types. Children in 3 age groups were compared. The researchers measured the number of minutes out of a 30 minute time sample that the children engaged in social play (associative or cooperative play). Interpret the Excel output obtained at the 5% significance level (a = 0.05). What conclusion can the researchers draw? Interpret the Post Hoc tests using the Bonferroni procedure. Write the step 5 answer (formal APA format notation and conclusions; round your answer to 2 decimal places). Toddler Preschool Kindergarten Anova: Single Factor 7. %3D 20 24 SUMMARY Average Variance 5.25 2.916667 Count Sum Groups Toddler 14 18 3. 18 21 21 22 Preschool 48 12 24.66667 Kindergarten 105 21 ANOVA MS Pvalue Fcrit Source of Variation Between Groups SS 562.3269 2 281.1635 27,36384 0.000088 4.102821 Within Groups 102.75 10 10.275 Total 665.0769 12 t-Test: Two-Sample Assuming Equal Variances t-Test: Two-Sample Assuming Equal Variances t-Test: Two-Sample Assuming Equal…

In a sample of 367 students, 132 said that they enjoy science. Using a significance level of a = 0.03, determine the test statistic and p-value when testing the claim that less than 35% of students enjoy science. Round the test statistic to two decimal places and the p-value to four decimal places. The test statistic is The p-value is

OI al College is less likely to attend orientation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Select an answer Women Men 439 242 What can be concluded at the a = 0.01 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Yes 350 No 262 Ho: Select an answer ✓ Select an answer ✓ Select an answer ✓ (please enter a decimal and note that p1 and μl represent the proportion and mean for women and p2 and μ2 represent the proportion and mean for men.) H₁: b. The test statistic ? | = c. The p-value d. The p-value is ? ✓ a e. Based on this, we should f. Thus, the final conclusion is that ... Select an answer ✓ Select an answer (Please enter a decimal) (please show your answer to 3 decimal places.) (Please show your answer to 4…

The US Department of Energy reported that 46% of homes were heated by natural gas. A random sample of 325 homes in Oregon found that 126 were heated by natural gas. Test the claim that proportion of homes in Oregon that were heated by natural gas is different than what was reported. Use a 1% significance level. Give answer to at least 4 decimal places. What are the correct hypotheses? (Select the correct symbols and use decimal values not percentages.) Ho: Select an answerv H4: Select an answer v? v Based on the hypotheses, compute the following: Test Statistic = p-value = Based on the above we choose to Select an answer The correct summary would be: Select an answer homes in Oregon that were heated by natural gas is different than what the DOE reported value of 46%. that the proportion of

The US Department of Energy reported that 48% of homes were heated by natural gas. A random sample of 317 homes in Oregon found that 166 were heated by natural gas. Test the claim that proportion of homes in Oregon that were heated by natural gas is different than what was reported. Use a 5% significance level. Give answer to at least 4 decimal places. What are the correct hypotheses? (Select the correct symbols and use decimal values not percentages.) Ho: P Test Statistic = 0° p-value = H₁: p Based on the hypotheses, compute the following: #v oº 48 48 <-Need answer, please. <-Need answer, please OB 0° Based on the above we choose to Fail to reject the null hypothesis ✓ OB The correct summary would be: There is not enough evidence to support the claim that the proportion of homes in Oregon that were heated by natural gas is different than what the DOE reported value of 48%.

A statistician changes her level of significance from .001 to .05.  What impact will this change have on her risk of making a Type I and Type II error?  Is the change in the level of significance a good decision?  Why or why not?