Movie Budgets and Grosses The budget (in millions of dollars) and worldwide gross (in millions of dollars) for eight of the most expensive movies ever made are listed in the table below. Budget 300 258 250 210 232 230 225 207 Gross 961 891 937 836 391 576 419 551 The scatter diagram (scatter plot) of the above data is shown below. Budget and Gross of the Most Expensive Movies Ever Made -1000 006- -800 -700- -600 500 -400 -300 -200- 100 50 100 150 200 250 300 Rudget lin millions of dollars) Gross (in millions of dollars)

Boats (tens of thousands) Manatees69 5467 3964 3571 4871 4472 6076 5482 6682 8086 7891 7993 9592 7293 7199 8198 93102 7294 9297 9592 8190 8690 8088 7187 68 Use the accompanying paired data consisting of registered boats​ (tens of​ thousands) and manatee fatalities from boat encounters. Let x represent the number of registered boats and let y represent the corresponding number of manatee deaths. Use the given number of registered boats and the given confidence level to construct a prediction interval estimate of manatee deaths. Use x=81​(for 81​0,000registered​ boats) with a 99​%confidence level. Use the chart above     ___manatees<y< ___manatee

Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. Females Males MRI IQ MRI IG The data is reported to the right. Complete parts (a) through (d) below 139 858,472 140 955,003 935,494 924,059 1.079.550 1,001.121 Click the icon to view the critical values table. 991,305 138 141 857,782 833,868 790,619 133 135 132 141 135 140 AMRI 1,080,000- AIO 145 AIO 145- AMRI 1,080,000 780,000 130 130 780,000 130 780,000 780,000 130 1,080,000 145 1,080,000 MRI 145 MRI (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. Yes, MRI count and IQ are linearly related since the linear correlation coefficient is O B. No. MRI count and IQ are not…

Small Sample Size The dataset imagpop contains information about 10000 people from an imaginary population. One of the variables is math, which indicates whether the individual was a mathematics major. You can see the distribution of math majors in the population in the row percents shown below: rowPerc(xtabs(~math,data=imagpop)) ##      no      yes  Total##   95.37   4.63 100.00 Suppose you were interested in the following Research Question: Are quantitative skills an important part of your job? You decide to quickly take a simple random sample of size 10 from this population. You can see the distribution of math majors in the sample below: set.seed(2014)smallsamp<-popsamp(n=10,pop=imagpop)rowPerc(xtabs(~math,data=smallsamp)) ##   no yes Total##  100   0   100 Which of the following statements best describes a problem that may arise in this scenario? Group of answer choices   ( ) The sampled individuals that were selected might all have jobs that require quantitative skills. This…

Quiz Module 1 The stem-and-leaf plot shows house sale prices over the last week in Tacoma. The stem is in hundres of thousands of dollars the leaf is in tens of thousands of dollars. What is the price of the most expensive house sold? 0|6677789991|024477788899992|00112344456678893|00011224

Tornadoes The following data represent the width (inyards) and length (in miles) of tornadoes.Width (yards), w Length (miles), L200 2.5350 4.8180 2.0300 2.5500 5.8400 4.5500 8.0800 8.0100 3.450 0.5700 9.0600 5.7Source: NOAA(a) Draw a scatter diagram of the data, treating width as theindependent variable.(b) What type of relation appears to exist between the widthand the length of tornadoes?(c) Select two points and find a linear model that containsthe points.(d) Graph the line on the scatter diagram drawn in part (b).(e) Use the linear model to predict the length of a tornadothat has a width of 450 yards.(f) Interpret the slope of the line found in part (c).

Watch the cell division video(https://www.youtube.com/watch?v=KIpcCyuypzg) Fill out the data table.

The boxplot below shows salaries for CPAS and Actuaries in a town. CPA Actuary 30 40 50 60 70 80 90 100 110 120 Salary (thousands of $) If a person is making the median salary for a CPA, they are making less than or equal to % of Actuaries.