Ed has made an investment that will return a fixed percentage simple interest. He knows that he started with 15000 dollars on March 10, and that on May 8, the investment is worth 15213.36 dollars. What rate of interest is he receiving?

Hypothesis Testing help
Really have no idea where to start :(
In an experiment comparing two weight-loss regimes A and B 20 test subjects were matched into 10 pairs so that within each pair the subjects were as similar as possible. Then A was randomly allocated to one of the subjects in each pair, and then B allocated to the other. The number of kilograms lost for each person is obtained and then the ordered A−B differences for each pair (in kg) are given below in the object d, together with some summary statistics:
sort(d) [1] -0.9 -0.3 0.2 0.4 0.6 1.2 1.4 3.3 3.5 4.3
mean(d) [1] 1.37
sd(d) [1] 1.755025
By specifying and checking (with a boxplot) an appropriate normality assumption perform a formal hypothesis test of H0:“regimes the same” against H1:“regimes not the same”.
Any help is appreciated!

Make a scatterplot for the data in each table. Use the scatter plot to identify and clustering or outliers in the data. Value of Home Over Time Number of Years Owned: 0, 3, 6, 9, 12, 15, 18, 21 Value (1,000s of $): 80, 84, 86, 88, 89, 117, 119, 86

Listed below are measured amounts of caffeine in one can from each of 14 brands. Find the standard deviation, for the given sample data. (Round your answer to the nearest tenths)
57,34,30,44,10,33,41,60,47,56,41,31,20,10
1) 14
2) 16
3) 237.2
4) 230

Select the best answer.
A statistic is an unbiased estimator of a parameter when (a) the statistic is calculated from a random sample. (b) in a single sample, the value of the statistic is equal to the value of the parameter. (c) in many samples, the values of the statistic are very close to the value of the parameter. (d) in many samples, the values of the statistic are centered at the value of the parameter. (e) in many samples, the distribution of the statistic has a shape that is approximately Normal.

Find the mean of the following data: 12,10,15,10,16,12,10,15,15,13

Random sample of size 4 are drawn from the finite population which consists of the numbers 2,3,7,8,and 10.
a. What is the population mean, population variance and population standard deviation of the given data?
b. What is the sampling distribution of the sample means for a sample of size 2 which can be drawn without replacement from the given population?
c. What is the mean, variance and standard deviation of the sampling distribution?

Some non-linear regressions can also be estimated using a linear regression model (using "linearization"). Assume that the data below show the selling prices y (in dollars) of a certain equipment against its age x (in years). We'd like to fit a non-linear regression im the form ${\displaystyle \hat{y}=c{d}^X}$ to estimate parameters c and d from the data by linearizing the model through ${\displaystyle \ln \hat{y}=\ln c+\left(\ln d\right)x=b_0+b_{1}x}$.
$$\begin{array}{|cccc|}\hline x& y& x& y\\ 1& 6312& 3& 5387\\ 2& 5697& 5& 4973\\ 2& 5734& 5& 4892\\ \hline\end{array}$$
Using Excel ot other software, the non-linear regression model ${\displaystyle \hat{y}=c{d}^X}$ can be estimated as ${\displaystyle \hat{y}=?{(?)}^X}$