Statistics questions

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Nw123456

Mathematics

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I need some one who can answer all questions attached with explaining all the steps

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1. You are given two sets of data, both which follow a normal distribution. One data set is the distance walked for pedestrians in Lawrence and one is the distance walked for pedestrians in North Andover. There are 50 observations in both sets of data, and the mean distance for both data sets is 220meters. The standard deviation (SD) for Lawrence is 23 meters, while the SD for the N. Andover is 10 meters 1a Which data set has a tighter normal curve? How do you know? 16. Separately for the Lawrence and the N Andover sets, what is the range of distances in which 95% of all the observations would be expected to occur (e., what are the high and low values bounding 95% of observations)? This should include the high and low values of the range. (Hint: look at Fig 4,68% of observations occur within the mean plus-or-minus 1 SD) 2. Assume the class has measured average cars per second at different locations on 1495 Given the following data, use Excel to calculate the answers to the questions below. You will be working with two sets of data and need to perform separate statistical analyses for each; one for the number of cars data, and another for the particulates data. [I made this data up. so please don't try to interpret too muchl] Cars mg/L. particulates Exit 39 Exit42 Exit39 Exit 42 0.48 2.35 35 1.02 0.98 3.3 3.5 0.87 2.80 3.5 3.5 1.90 2.12 6.6 12 2.17 1.72 6.4 7 0.96 1.89 6.4 6.5 1.51 3.10 5.8 8.2 0.88 2.74 3.3 2A) Calculate the means and standard deviations for Number of Cars at both locations. Calculate the mean and standard deviation for particulates at both locations. Report the mean and standard deviation for each variable (remember, answer with a complete sentence). For each of the two variables, which location has a flatter, looser normal curve? How do you know? 2B) Conduct two t-tests, one for the #cars data at the two locations and one for the particulates data at the two locations. Is there a difference between the data collected at the two exits? Include a label or title for each table that identifies what parameter was analyzed (0.9.cars or particulates). Include the t-test results tables as part of your lab report. For each t-test briefly explain what the test results mean, including whether the means are or are not significantly different and how you know. 2C) Plot number of cars (x, independent) vs particulate concentration (dependent, y) at each of the two locations. (Keep in mind this is not real data). Add a regression line and solve for the r-squared. How much of the variation in particulates is accounted for in the x value at exit 39? At exit 42? How do you know? 1. You are given two sets of data, both which follow a normal distribution. One data set is the distance walked for pedestrians in Lawrence and one is the distance walked for pedestrians in North Andover. There are 50 observations in both sets of data, and the mean distance for both data sets is 220meters. The standard deviation (SD) for Lawrence is 23 meters, while the SD for the N. Andover is 10 meters 1a Which data set has a tighter normal curve? How do you know?
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Question 1
a. The distance walked for pedestrians in North Andover has a tighter normal curve because
it has smaller standard deviation (10 meters) than for Lawrence (SD =23 meters). A
smaller standard deviation will narrow the spread of values in normal curve he...


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