John was calculating the peeds (mph) of vehicles traveling down Maple Street on two separate days at 9 am for an hour. Below is the data she collected. Wednesday's speeds: 32,28,24,17,39,44,64,33,27,21,38,40,60,30,25,37,30,25,35,30 Sunday's speeds: 18,27,34,37,49,55,63,61,48,30,27,17,17,15,26,46,25 1. Calculate the mean and median of each day. 2. Calculate the five-number summary of each day. a. Wednesday's Five-Number Summary. b. Sunday's Five-Number Summary. 3. Test each day for outliers. If they have outliers, identify them and adjust the five-number summary to reflect the outlier. (Remember to find IQR and then Upper and Lower Limits) a. Wednesday's Outlier Test b. Sunday's Outlier Test 4. Create a stacked box-and-whisker plot using the five-number summaries from Wednesday and Sunday. 5. What do you notice about the box-and-whisker plots? Describe the spread in each specifically.

A meteorologist records the temperature (in degrees Fahrenheit) and the amount of rain (in centimeters) during a series of rain storms. Her data is below: Temperature 62 38 29 55 61 70 47 Rain amount 1.2 6.3 5.1 2.2 0.8 1.4 3.3 Based on this, she wants to determine whether the temperature influences how much rain will fall Answer each question below, romling all values to at least 2 decimal places. (a) Find an equation of the least-squares regression line based on this sample. (b) Use your answer from part. (a) to predict the amount of rain in a storm that takes place when the temperature is 58 degrees Fahrenheit. (If for any reason you could not complete part (a), use --2.5+ 0.15.x instead.) (c) Find the residual for a storm in 40-degree weather that creates 4.2 centimeters of rain.

A local construction company is trying to reduce costs. It found that the price of steel bars varies considerably from manufacturer to manufacturer. The table below shows the cost of one steel bar from different manufacturers. Calculate the IQR. Cost for One Steel Bar Emerson $4.31 Mannix $6.20 United $5.67 American $2.79 National $3.20 Pracox $3.57 Steelco $5.32 Cost per Steel Bar 7 6 4 3 2 1 O $2.47 O $2.53 O $4.32 O $5.36

Twenty five right-handed students were asked to turn a knob (using their right hands) that moved an indicator by screw action. There were two identical instruments, one with a right-hand thread (the knob turns clockwise) and the other with a left-hand thread (the knob turns counterclockwise). The data presented below gives the times (in seconds) each subject took to move the indicator a fixed distance: Obs.# R Obs.# R L L Obs.# R 1 113 8 116 166 22 100 2 105 105 9 75 146 23 89 3 130 133 10 96 123 24 85 4 101 108 11 122 135 25 88 5 138 115 12 103 6 118 170 13 116 7 87 103 14 107 At 1% level of significance, can we conclude that these right-handed students found it easier to use the knobs with a right-hand thread? Use the following form of the difference: right-left. 1. Test Stat: L 137 2. Critical Region: a. T> 2.492 b. Tabs (2.492) c. T> abs (-2.492) d. T < -2.492 Obs.# R 15 118 16 103 17 111 18 104 19 111 147 20 89 87 21 78 145 78 107 84 148 112 93 76 L 116 78 101 123 3. Conclusion:…

Tammy kept track of the shoe size of expectant mothers and the weights of their newborns. She recorded her data in the following scatterplot. 10 Baby Weight vs. Shoe Size y 13 12 11 10 5 6 7 8 9 10 1112 13 Mother's Shoe Size Which statement best describes the relationship shown in the scatterplot? There is no relationship between a mother's shoe size and the weight of her newborn. O G The weights of newborns were constant, but the shoe sizes of the mothers varied. OH The greater the shoe size of the mother, the lesser the weight of her newborn. The greater the shoe size of the mother, the greater the weight of her newborn. 1 2 3 8. 69 10 前Rev Baby's Weight (lb)

Sarah was calculating the speeds (mph) of vehicles travelling down Maple Street on two separate days at 9 am for an hour. Below is the data she collected. Wednesday's Speeds: Sunday's Speeds: 34,28,24,17,39,44,64,33,27,21,38,40,60,30,25,37,30,25,35,30 18,27,34,37,49.55,63,61,48,30,27,17,17,15,26,46,25 4) Find the Standard Deviation of each day. Wednesday's Standard Deviation Table X x (x-)²2 n-l Sunday's Standard Deviation Table 7 (x-2)² n-1 2). Sketch Wednesday's Bell Curve with 30 Sketch Sunday's Bell Curve with 30 (x-7)²= x-F (x-7) 2 3. Based on your analysis of the data and standard deviations, which day would you say is the most dangerous day on Maple Street?

help please

Greg and Martin's age when added together come to a total of 60 years. Now Greg is twice as old as Martin was when Greg was half as old as Martin will be when Martin is five times as old as Greg was when Greg was five times as old as Martin. With all this excellent data how old is Greg?

The following chart shows the percentage of the U.S. discretionary budget allocated to education from 2003 to 2009 (t = 3 represents the start of 2003).   A bar graph titled "Percentage of U.S. budget on education" has a horizontal t-axis labeled "Year since 2000" and a vertical axis labeled "Percentage". The bar graph has 7 bars. Each bar is associated with a label and an approximate value as listed below. 3: 6.8% 4: 7% 5: 7% 6: 6.9% 7: 6.5% 8: 6.3% 9: 6.2% The following table shows the percentage of the U.S. discretionary budget allocated to education in 2003, 2005, and 2009 (t = 3 represents the start of 2003). Year t 3 5 9 Percentage 6.8 7 6.2 Find a quadratic model for these three years. (Round your coefficients to two decimal places.) p(t) =          Use your model to estimate the percentage of the U.S. discretionary budget allocated to education in 2007. (Round your answer to two decimal places.)

The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in F) for that month. The past year's usage and temperatures are in the following table: Usage/ Month Temp. 1000 Month 21 185.79 July. 24 214.47 Aug. 32 288.03 Sept. 47 424.84 Oct. 50 454.58 Nov. 59 539.03 Dec. Jan. Feb. Mar. Apr. May June Temp. 68 74 62 50 41 30 Identify which are the independent and dependent variables. Usage/ 1000 621.55 675.06 562.03 452.93 369.95 273.98