A. Calculate the range. B. Calculate the sample mean. C. Calculate sample statistics to estimate the population standard deviation and variance of all full-grown corn plants in Horseyetown, WI.

a) Calculate the mean and variance of the following population: 60, 72, 40, 60, 88.  Mean: Variance:

Part C. Compute the sample mean and sample deviation.

The sample mean is often used as an estimator of the population mean because of its desirable properties, including: a. unbiasedness, consistency and efficiency Ob.consistency and minimum sampling error only Oc unbiasedness and consistency only Od. unbiasedness and efficiency only Oe. unbiasedness, consistency and minimum sampling error

2) Now read the following data into R. Use R for all statistical procedures. Use R studio for the test.Sample Sample A            B0.7969 1.4731 1.2669 3.2137 1.5856 2.2486 0.4959 1.1156 0.5022 10.6207 0.5524 1.983510.3060 31.2243 0.6244 3.7984 1.9789 1.4710 1.6788 9.0351(a) Make q-q plots of both samples. (b) Perform a t-test (Welch's test). (c) Perform a MWU test. (d) Which test gave you the better p-value now? Why? (e) What is a “better” p-value? Why? (f) This is two sided - why?

Consider a sample with data values of 57,45,50,39,50,59,60, and 48. Compute the following values a. Mode b. 40th percentile c. Variance d. Standard deviation e. Coefficient of variation

A. Determine the test statistic  B. What are the critical values C. What is the p value