Create a shiny app in R to demonstrate the sampling distribution of sample proportion. Your app should accept following arguments. • Population Proportion • Sample Size • Number of samples: default value is 500 Your function should output the sampling distribution of sample proportion as a histogram, mean of sample proportions, and SD of sample proportions.

Thankyou this was very helpful :) I also need to write functions that find the average_stolen using single argument called data and also write a function called get_borough_frequency where 2 arguments called borough and number and this should create a dictionary of the unique boroughs as the key and the corresponding value of total number of animals stolen in that borough . Any help would be great , thanks

10.  Which among the following closures will add all even numbers when used with the reduce function on numbers? Select all that apply. Take note that this is a right minus wrong question. var numbers = [1, 2, 4, 3, 9, 5, 8] Which among the following closures will add all even numbers when used with the reduce function on numbers? Select all that apply. Take note that this is a right minus wrong question. var numbers = [1, 2, 4, 3, 9, 5, 8]   1. let sum = numbers.reduce(0) {    if newValue % 2 == 0 {        return currentTotal + newValue    } else {        return currentTotal    }}     2. let sum = numbers.reduce(0) {    (oldValue, newValue) -> Int in    if newValue % 2 == 0 {        return oldValue + newValue    } else {        return oldValue    }}     3. let sum = numbers.reduce(0) {    if $1 % 2 == 0 {        return $0 + $1    } else {        return $0    }}     4. let sum2 = numbers.reduce(0) {    if $0 % 2 == 0 {        return $1 + $0    } else {        return…

H Step 6: Descriptive Statistics: Points Scored By Your Time in Home Games The management of your team wants you to run descriptive statistics on the points scored by your team in the games played at your team's venue i 2015. Calculate descriptive statistics including the mean, median, variance, and standard deviation for points scored by your team played at Home. following edits to the code block below: 1. Replace ??MEAN_FUNCTION?? with the name of Python function that calculates the mean. 2. Replace ??MEDIAN_FUNCTION?? with the name of Python function that calculates the median. 3. Replace ??VAR_FUNCTION?? with the name of Python function that calculates the variance. 4. Replace ??STD_FUNCTION?? with the name of Python function that calculates the standard deviation. After you are done with your edits, click the block of code below and hit the Run button above. print("Points Scored by Your Team in Home Games (2013 to 2015)") print(" ") your_team_home_df =…