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Hawkes Learning Blackboard Le X elearning.kctcs.edu/webapps/blackboard/content/contentWrapper.jsp?content_id-_31198949_18displayName=Hawkes + Learning&course_id=_493515589_1&na... 7 West Kentucky Lazy Day Cooking C.. Log out a Amazon.com: Onlin... tTyping Lessons Le... Cumberlands EDOL Websites for... Cite This For Me: H... Templates C-Line... Praxis Apps Murray State Hawkes Learning MAT 71: Foundations of Precalculus (4194_B5Z1) Course Content Lesson: 8.4 Point-Slope Form Save & End Practice LORIE TRIVETTE 4/10 Question 5 of 10, Step 1 of 1 Correct Incorrect The table lists the number of members at a local gym for selected years, where year 1 represents 2002, year 3 represents 2004, and so on. T Year y = number of members 2002 1 37 52 2004 3 66 2006 5 2008 81 7 96 2010 9 Use the ordered pairs (5, 66) and (7, 81) to find the equation of a line that approximates the data. Express your answer in slope-intercept form. (If necessary, round the slope to the nearest hundredth and the…

I need help answering #2. Finding p-value

Need the answer to question 2.

8https://ezto.mheducation.com/ext/map/index.html?_con=con&external_browser=D0&launchUrl=https%253A%252F%252Fnet omework: Chapter 8 (Sections 8.1 through 8.5) G Saved 0 Calculate the standard error. May normality be assumed? (Round your answers to 4 decimal places.) Standard Error Normality (a) n 27, T = 0.32 %3D ts (b) n= 58, 7 = 0.45 n = 119 , TT = 0.39 Skipped (c) n 359, T = 0.004 (d) eBook Ask Print References Mc Graw Hill

了 * 00 R Frequency cc.edu/webapps/assessment/take/launch.jsp?course_assessment_id=_842675_1&course_id%=_859154_1&content_id%3_19492605_1&step * Question Completion Status: QUESTION 1 The following histogram represents the number of body piercings for students in a statistics class. 40 0 2 4. 9 Number of Piercings 8 a. Is this graph symmetric or skewed? b. For this graph, is mean or median the best choice for the measure of center? c. For this graph, is standard deviation or IQR the best choice for the measure of variation? d. For this graph, the mean expected to be (higher than, lower than, or about the same as?) the median. QUESTION 2 Click Save and Submit to save and submit. Click Save All Answers to save all answers. Save 2 étv MacBook Air DD F7 F8 08 F 4 F5 F3 2$ 4 #3 9. 6. 5. |

The maximum weights (in kilograms) for which one repetition of a half squat can be performed and the times (in seconds) to run a 10-meter sprint for 12 international soccer players are shown in the attached data table with a sample correlation coefficient r of -0.970. A 13th data point was added to the end of the data set for an international soccer player who can perform the half squat with a maximum of 205 kilograms and can sprint 10 meters in 2.01 seconds. Describe how this affects the correlation coefficient r. Use technology. Click the icon to view the data set. The new correlation coefficient r (Round to three decimal places a Data table Player 1 2 3 4567 8 9 10 11 12 13 going from 0.970 to gets stronger, gets weaker, stays the same, Maximum weight, x Time, y a 1.81 1.76 2.04 1.42 2.06 1.61 1.69 1.92 1.62 1.64 1.99 1.92 2.01 180 175 150 205 150 190 180 160 185 180 155 170 205

cation.wiley.com/was/ui/v2/assessment-player/index.html?launchld%3Deef1e3c4-0de6-4778-8346-dec63c264926#/question/10 rk updated Question 11 of 16 - / 1 E View Policies Current Attempt in Progress Transgender Adults A study of transgender adults examines the age at which they began to transition and the age of their earliest memories of gender dysphoria. (In this exercise, we examine the age beginning transition and in Exercise 6.107 we examine the age of their earliest memories.) In the study of 210 transgender adults, the mean age at which they began transitioning was 32.6 with a standard deviation of 18.2. Find a 95% confidence interval for the mean age at which transgender adults begin transitioning. Zaliznyak M, Bresee C, and Garcia MM, "Age at First Experienceof Gender Dysphoria Among Transgender Adults Seeking Gender- Affirming Surgery," JAMA Network Open, March 16,2020. Some of the data has been approximated from informationin the paper. to Confidence interval (round to three…

The maximum weights (in kilograms) for which one repetition of a half squat can be performed and the times (in seconds) to run a 10-meter sprint for 12 international soccer players are shown in the attached data table with a sample correlation coefficient r of -0.971. A 13th data point was added to the end of the data set for an international soccer player who can perform the half squat with a maximum of 210 kilograms and can sprint 10 meters in 2.01 seconds. Describe how this affects the correlation coefficient r. Use technology. Click the icon to view the data set. The new correlation coefficient r going from -0.971 to (Round to three decimal places a gets stronger, gets weaker, stays the same,

Write up the results for the t-test, in APA format, and indicate if there is a significant difference in aggression of dementia patients when there is a full moon and when there isn't a full moon.

zy Section 8.2- MAT 240: Applied S X O https://learn.zybooks.com/zybook/MAT-240-J4373-OL-TRAD-UG.22EWA/chapter/8/section/2?content_resource. prary > MAT 240: Applied Statistics home> Hypothesis test for the difference between two population proportions A Q ta E zyBooks catalog O Help/FAQ Lashon 387674.1891676.qany? Jump to level1 A state housing department is trying to determine if housing prices in county B are lower than in county A. The department decides torandormly sample recently sold houses in both counties and determine what proportion sold for more than $250,000. Since county A is considerably larger than county B, the housing department chose a larger sample from county A. The results of the data collected are shown below. County A County B Successes 665 Successes 340 Observations 900 Observations 500 p-hat_1 0.739 p-hat 2 0.68 Confidence level 99% p= Ex: 1.234: 2-Score 2.346 Pvalue 0.00939 -3 -1 -1 County A samples: 21 = Ex: 9 2 = Ex: 1.234, County B samples: n2 = Sample…

The maximum weights (in kilograms) for which one repetition of a half squat can be performed and the times (in seconds) to run a 10-meter sprint for 12 international soccer players are shown in the attached data table with a sample correlation coefficient r of -0.941. A 13th data point was added to the end of the data set for an international soccer player who can perform the half squat with a maximum of 205 kilograms and can sprint 10 meters in 2.01 seconds. Describe how this affects the correlation coefficient r. Use technology. Click the icon to view the data set. The new correlation coefficient r (Round to three decimal places a going from 0.941 to - gets stronger, gets weaker, stays the same,

Produce a CROSSTAB for the variables DEGREE and MARHOMO. Before conducting the analyses, reverse code MARHOMO into R_MARHOMO so that 1 = Strongly Disagree; 2 = Disagree; 3 = Neither Agree nor Disagree; 4 = Agree; and 5 = Strongly Agree. Then, examine the relationship between these variables by testing both statistical significance and strength of association. Use chi-square for significance and choose the appropriate measures for strength of association (Phi, Cramer’s V, Lambda, or Gamma). Set alpha to .05. State the null and research hypotheses: H0: H1: What is the obtained chi-square value? What is the significance level (p-value) for the obtained chi-square? Should we reject or fail to reject the null hypothesis? Is there a statistically significant relationship between these variables? Which measure of association would be most appropriate for these variables? What is the value of the measure of association? Interpret your findings by explaining in full sentences whether there is a…

Produce a CROSSTAB for the variables DEGREE and MARHOMO. Before conducting the analyses, reverse code MARHOMO into R_MARHOMO so that 1 = Strongly Disagree; 2 = Disagree; 3 = Neither Agree nor Disagree; 4 = Agree; and 5 = Strongly Agree. Then, examine the relationship between these variables by testing both statistical significance and strength of association. Use chi-square for significance and choose the appropriate measures for strength of association (Phi, Cramer’s V, Lambda, or Gamma). Set alpha to .05. State the null and research hypotheses: H0: H1: What is the obtained chi-square value? What is the significance level (p-value) for the obtained chi-square? Should we reject or fail to reject the null hypothesis? Is there a statistically significant relationship between these variables? Which measure of association would be most appropriate for these variables? What is the value of the measure of association? Interpret your findings by explaining in full sentences whether there is a…

The maximum weights (in kilograms) for which one repetition of a half squat can be performed and the times (in seconds) to run a 10-meter sprint for 12 international soccer players are shown in the attached data table with a sample correlation coefficient r of -0.908. A 13th data point was added to the end of the data set for an international soccer player who can perform the half squat with a maximum of 205 kilograms and can sprint 10 meters in 1.98 seconds. Describe how this affects the correlation coefficient r. Use technology. Click the icon to view the data set. The new correlation coefficient r (Round to three decimal places as needed.) going from 0.908 to Data table Player 1 Ñ Ñ = 560 000 A W N 10 11 12 13 Print Maximum weight, x Time, y 1.81 1.77 2.04 1.43 2.04 1.61 1.71 1.88 1.59 1.63 1.98 1.91 1.98 170 180 160 205 150 195 180 155 185 175 155 175 205 Done X

The maximum weights (in kilograms) for which one repetition of a half squat can be performed and the times (in seconds) to run a 10-meter sprint for 12 international soccer players are shown in the attached data table with a sample correlation coefficient r of - 0.959. A 13th data point was added to the end of the data set for an international soccer player who can perform the half squat with a maximum of 205 kilograms and can sprint 10 meters in 1.99 seconds. Describe how this affects the correlation coefficient r. Use technology. Click the icon to view the data set. The new correlation coefficient r (Round to three decimal places as needed.) going from 0.959 to Data table Player 1 ~ Ñ = ∞ Or A WN 10 12 13 Print Maximum weight, x Time, y 1.78 1.78 2.02 1.41 2.05 1.63 1.69 1.89 1.61 1.66 1.96 1.91 1.99 175 185 150 205 150 195 185 155 195 180 155 165 205 Done D₁ X

The maximum weights (in kilograms) for which one repetition of a half squat can be performed and the times (in seconds) to run a 10-meter sprint for 12 international soccer players are shown in the attached data table with a sample correlation coefficient r of - 0.958. A 13th data point was added to the end of the data set for an international soccer player who can perform the half squat with a maximum of 210 kilograms and can sprint 10 meters in 1.99 seconds. Describe how this affects the correlation coefficient r. Use technology. Click the icon to view the data set. Data Table The new correlation coefficient r going from - 0.958 to (Round to three decimal places as needed.) Maximum weight, x Time, y 175 1.81 185 1.79 155 2.06 210 1.42 155 2.07 195 1.62 190 1.69 165 1.88 195 1.59 180 1.64 165 1.97 175 1.91 210 1.99

According to table 1, I need to construct a 3X2 table to test the association between DOT status and successful treatment. How do I do this?

6 Assignment name: Unit 8 Progres x + A apclassroom.collegeboard.org/33/assessments/assignments/33271022 CollegeBoard AP'Classroom Unit 8 Progress Check: MCQ Part B Ricky Lamas 10 11 (12 (13 14 15 Question 11 a A state political analyst wanted to see whether there is an association between the region where a person lives and whether the person is in favor of increasing the state gas tax. A random sample of 270 state residents was selected, and the table below shows the results of the survey. Rural Urban Suburban Total Yes 38 42 51 131 Submit No 27 62 50 139 Total 65 104 101 270 Which of the following is closest to the p-value of the appropriate test to investigate whether there is an association between the region where a person lives and whether the person is in favor of increasing the state gas tax? A 0.0644 в 0.3596 0.4832 0.9356 E 5.485 > Q 4:19 PM O Type here to search ^데 4) ENG 3/12/2021 近

The following box plot represents a sample of house prices.

(INR) Suppose we recorded the following data from an experiment: SUBJECT GENDER LIVER_WT1 LIVER_WT2 SPLEEN 1 M 10.2 7.2 8.9 2 F 9.8 8.3 9.3 3 M 12.2 11.1 9.1 a) Input this data in R. b) Make a variable called AVERAGE_WT. c) Combine these observations into a data frame called MedicalData.

Every year, the students at a school are given a musical aptitude test that rates them from 0 (no musical aptitude) to 5 (high musical aptitude). This year's results were: Aptitude Score Frequency 4 1 1 4 4 The mean () aptitude score: (Please show your answer to 1 decimal place.) The median aptitude score: The mode aptitude score: (Please separate your answers by ',' in bimodal situation. Enter DNE if there is no mode.) Hint: Textbook Measures of Center

cation.wiley.com/was/ui/v2/assessment-player/index.html?launchld%3D23444A65-4cc0-4df8-ble1-88275c2bf7cd#/guestion/2 rk updated Question 3 of 9 -/1 三 View Policies Current Attempt in Progress Who Is More Trusting: Internet Users or Non-users? In a randomly selected sample of 2237 US adults, 1754 identified themselves as people who use the Internet regularly while the other 483 indicated that they do not use the Internet regularly. In addition to Internet use, participants were asked if they agree with the statement "most people can be trusted." The results show that 807 of the Internet users agree with this statement, while 130 of the non-users agree." Find a 99% confidence interval for the difference in the two proportions, p, - PN,where p, is the proportion for the internet users who agree with the statement and py is the proportion for the non-internet users who agree with the statement. Round youranswers to three decimal places. The 99% confidence interval is to Hampton, K., Goulet,…

1.2.2 Types of variables Examine the unemp_rate, pop, state, and median_edu variables in the county data set. Each of these variables is inherently different from the other three, yet some share certain characteristics. First consider unemp_rate, which is said to be a numerical variable since it can take a wide range of numerical values, and it is sensible to add, subtract, or take averages with those values. On the other hand, we would not classify a variable reporting telephone area codes as numerical since the average, sum, and difference of area codes doesn't have any clear meaning. The pop variable is also numerical, although it seems to be a little different than unemp-rate. This variable of the population count can only take whole non-negative numbers (0, 1, 2, ...). For this reason, the population variable is said to be discrete since it can only take numerical values with jumps. On the other hand, the unemployment rate variable is said to be continuous. The variable state can…

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