Above we have the final averages of the last stats and I want to know if the class average falls within the boundaries of all my statistics classes for the past 20 years.

Find the sample size, mean, and standard deviation of the data above (Table 1). Then use the 8-step method for determining whether or not last year’s class meets or exceeds the historical standards for statistics.

How this command used for and provide examples for each one.

Commands:

1-file

2-find

3-pwd

4-ln

5-stat

6- cmp, comm, and diff

7-md5sum

8-du

9-gzip

10-gunzip

11-bzip2, and bunzip

12-cpio

13-tar

14-wc

15-vi editor

I am very confused I have tried this many times but I am not sure if I am correct please show step by step and I will Rate!
Thank you!

1. suppose you the fisher men want to use mosquito fish that are greater than 29 mm for bait, otherwise it is not worth using this lake to harvest bait fish.

a. do a z test in r and use library (desctools) to call it up. find the p value turn in the script.

1. What is the coefficient of determination between the three predictors taken as a group and annual salary.
Select one:

a..323

b..772

c..522

d..771

2. Let X1 = experience, X2 = Education, and X3 = Sex, what is the multiple regression equation?

Select one:

a.Y= 2809 + 228.5(X1) + 560.6(X2) + 1287.4(X3)

b.Y=41462.6 + 337.3(X1) + 2169.3(X2) + 3097.0(X3)

c.Y=48951.9 + 195.3(X1) + 1480.6(X2) + 1595.1(X3)

d.Y= 42410.2 + 403.5(X1) + 1856.4(X2) + 2964.4(X3)

1. At the 5% level of significance, is there a relationship in the population between the three predictors taken as a group and the annual salary for teachers?

Select one:

a. Yes

b.Cannot be determined from the data

c.No

d.50/50 chance that there is.

Which predictor(s), if any, would you remove because it does not contribute to the regression models, using the 90% confidence level, α = .10?

Select one:

a.Sex and Experience

b. None

c. Education

d. Experience

Year 1 2 3 4 5 Free Cash Flow $22 million $24 million $30 million $31 million $35 million XYZ Industries is expected to generate the above free cash flows over the next five years, after which free cash flows are expected to grow at a rate of 3% per year. If the weighted average cost of capital is 8% and XYZ has cash of $18 million, debt of $35 million, and 74 million shares outstanding, what is General Industries' expected current share price? Round to the nearest one-hundredth.

nPlot the number of fatal accidents as a function of percentage of drivers under 21. Based on the plot, try to anticipate whether or not the following analysis will show that there is a significant increase or decrease in number of fatalities with increases in percentage of drivers under 21.

                                                                                                                                      {Example 27}

nRegression analysis, where one variable depends on another, can be used to predict levels of a dependent variable for specified levels of an independent variable. Use the EXCEL REGRESSION command to calculate the intercept and slope of the least‑squares line, as well as the analysis of variance associated with that line. Fill in the following table and use the results to answer the next few questions. Carefullychoose your independent and dependent variables and input them correctly using EXCEL’s regression command. In this example, the percentage of drivers under the age of 21 affects the number of Fatals/1000 licenses.

The regression equation (least‑squares line) is

            Fatals/1000 licenses =                  +                   % under 21

                                                 (intercept)       (slope)

Analysis of variance

Source                         DF          SS                 MS          F               P

Regression                   1         ________   _______ ________   _______                      

Residual (Error)           30        ________   _______

                                                                                                                                      {Example 29}

nStandard methodology for a single sample mean can be used to calculate a confidence interval for the slope of the least‑squares line and to test hypotheses other than H₀: ß₁= 0. In both cases, one needs to have an estimate of the slope and of its standard deviation (sometimes called standard error). Furthermore, one needs to recognize that the degrees of freedom for the standard deviation is the same as the error degrees of freedom (n ‑ 2).

Note that the EXCEL gives the standard error of estimate directly, but correctly calls it the standard deviation of the slope. Therefore, you must not divide by the square root of sample sizeas in example 16.

Use the above information to calculate a 90% confidence interval for the slope of the true regression line. For 30 degrees of freedom and a= 0.1, the critical t‑value is 1.697.

       (i.e. slope + margin of error)

nUse this same information to calculate a statistic to test the null hypothesis H₀: ß₁= 0.05 against a one‑sided alternative H₁: ß₁> 0.05. Use a 1 percent significance level (for which the critical value is 2.423).

            Reminder:  t = estimated value - hypothesized value  =   slope -  0.05

                                    standard error (deviation) of estimate        st dev of slope

10m Wind Speed Data

For the above wind data set, find the 3 M’s (mean, median, and mode) as well as the range of data for each day.

Based on the 3 M’s and the range of the data, which day has the most optimum wind speeds, consider variability, overall wind speeds, and stability of wind speeds as your deciding factor. Elaborate on your reasoning.

i)What test would you do to find out if Drug A is effective?

a)when data follows normal distribution

b)when data does not follow normal distribution, provide two methods to find out if the drug Is effective; how is one advantageous over the other method?