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INSTRUCTIONS:For this discussion, present your hypothesis test and your conclusion based on the results.Start by presentin ...
StatCrunch Help
INSTRUCTIONS:For this discussion, present your hypothesis test and your conclusion based on the results.Start by presenting your research and null hypotheses. Discuss the data and statistical test type, and then you can copy/paste your results from StatCrunch. Finally, state if you reject/fail to reject the null hypothesis and what this means
6 pages
Answers. Precalculus. Parametric Equations
Both plots have a form of a quadratic function. For x(t) the model a+bx+cx2 was used. For y(t) the model a+bx+cx was used.
Answers. Precalculus. Parametric Equations
Both plots have a form of a quadratic function. For x(t) the model a+bx+cx2 was used. For y(t) the model a+bx+cx was used.
what is the percent?
lily likes to collect records. last year she had 10 records in her collection. now she has 14 records. what is the percent ...
what is the percent?
lily likes to collect records. last year she had 10 records in her collection. now she has 14 records. what is the percent increase of her collection?the percent increase of her collection is ....%
STAT 400University of Maryland Programming Language R Exam Practice
# 1. Monty-Hall Three doors Recall the Monty-Hall game with three doors, discussed in class. Run a simulation to check tha ...
STAT 400University of Maryland Programming Language R Exam Practice
# 1. Monty-Hall Three doors Recall the Monty-Hall game with three doors, discussed in class. Run a simulation to check that the probablility of winning increases to 2/3 if we switch doors at step two.Set up the experiment two functions "monty_3doors_noswitch" and "monty_3doors_switch" (these functions will have no input values):```{r}monty_3doors_noswitch <- function(){}monty_3doors_switch <- function(){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.Compare your answers with the actual theoretical predictions. ```{r}```# 2: Monty-Hall with Ten doors.Repeat the Monty Hall experiment now with 10 doors. Recall the game is as follows: Step 1: you choose one door at random.Step 2: Monty opens 8 (out of 9 doors) that do not have the prize. Step 3: you either switch or don't switch. Set up the experiment two functions "monty_10doors_noswitch" and "monty_10doors_switch" (these functions will have no input values):```{r}monty_10doors_noswitch <- function(){}monty_10doors_switch <- function(){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.Compare your answers with the actual theoretical predictions. ```{r}```# 3. Monty-Hall 10-doors (modified).Consider the following modified Monty-Hall game with 10 doors. Step 1: you choose one door at random.Step 2: Monty opens 7 (out of 9 doors) that do not have the prize. Step 3: you either stick with your original choice, or choose between one of the two unopened doors. Set up the experiment two functions "monty_10doors_mod_noswitch" and "monty_10doors_mod_switch" (these functions will have no input values):```{r}monty_10doors_mod_noswitch <- function(){}monty_10doors_mod_switch <- function(){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.The computation of the theoretical probability in this case might not be completely obvious, however, use your empirical probability to make a guess. ```{r}```Not for submission: Play with this modified setup, for example Monty opens 6 doors at step 2 etc. # 4. BONUS: Monty Hall with n-doors.Repeat the Monty Hall experiment now with n doors. Recall the game is as follows: Step 1: you choose one door at random.Step 2: Monty opens n-2 (out of n-1 doors) that do not have the prize. Step 3: you either switch or don't switch. Set up the experiment two functions "monty_10doors_noswitch" and "monty_10doors_switch" (these functions will have input value as n):```{r}monty_ndoors_noswitch <- function(n){}monty_ndoors_switch <- function(n){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.Compare your answers with the actual theoretical predictions.```{r}```
Week 7: Discussion Questions 1/2
1. Can linear and nonlinear optimization problems use the same approach to find a solution? For example, if the GRG algori ...
Week 7: Discussion Questions 1/2
1. Can linear and nonlinear optimization problems use the same approach to find a solution? For example, if the GRG algorithm is used to solve a nonlinear optimization problem, will it work to solve a linear optimization problem? Discuss whether or not the GRG algorithm will always find a corner point similar to the feasible-region approach.2. Nonlinear optimization problems can have multiple solutions, and a solution can be local or global. Can there be multiple local solutions? Explain your answer. Can there be multiple global solutions? Explain our answer.My instructor would like each answer to be a couple paragraphs in length.
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Most Popular Content
StatCrunch Help
INSTRUCTIONS:For this discussion, present your hypothesis test and your conclusion based on the results.Start by presentin ...
StatCrunch Help
INSTRUCTIONS:For this discussion, present your hypothesis test and your conclusion based on the results.Start by presenting your research and null hypotheses. Discuss the data and statistical test type, and then you can copy/paste your results from StatCrunch. Finally, state if you reject/fail to reject the null hypothesis and what this means
6 pages
Answers. Precalculus. Parametric Equations
Both plots have a form of a quadratic function. For x(t) the model a+bx+cx2 was used. For y(t) the model a+bx+cx was used.
Answers. Precalculus. Parametric Equations
Both plots have a form of a quadratic function. For x(t) the model a+bx+cx2 was used. For y(t) the model a+bx+cx was used.
what is the percent?
lily likes to collect records. last year she had 10 records in her collection. now she has 14 records. what is the percent ...
what is the percent?
lily likes to collect records. last year she had 10 records in her collection. now she has 14 records. what is the percent increase of her collection?the percent increase of her collection is ....%
STAT 400University of Maryland Programming Language R Exam Practice
# 1. Monty-Hall Three doors Recall the Monty-Hall game with three doors, discussed in class. Run a simulation to check tha ...
STAT 400University of Maryland Programming Language R Exam Practice
# 1. Monty-Hall Three doors Recall the Monty-Hall game with three doors, discussed in class. Run a simulation to check that the probablility of winning increases to 2/3 if we switch doors at step two.Set up the experiment two functions "monty_3doors_noswitch" and "monty_3doors_switch" (these functions will have no input values):```{r}monty_3doors_noswitch <- function(){}monty_3doors_switch <- function(){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.Compare your answers with the actual theoretical predictions. ```{r}```# 2: Monty-Hall with Ten doors.Repeat the Monty Hall experiment now with 10 doors. Recall the game is as follows: Step 1: you choose one door at random.Step 2: Monty opens 8 (out of 9 doors) that do not have the prize. Step 3: you either switch or don't switch. Set up the experiment two functions "monty_10doors_noswitch" and "monty_10doors_switch" (these functions will have no input values):```{r}monty_10doors_noswitch <- function(){}monty_10doors_switch <- function(){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.Compare your answers with the actual theoretical predictions. ```{r}```# 3. Monty-Hall 10-doors (modified).Consider the following modified Monty-Hall game with 10 doors. Step 1: you choose one door at random.Step 2: Monty opens 7 (out of 9 doors) that do not have the prize. Step 3: you either stick with your original choice, or choose between one of the two unopened doors. Set up the experiment two functions "monty_10doors_mod_noswitch" and "monty_10doors_mod_switch" (these functions will have no input values):```{r}monty_10doors_mod_noswitch <- function(){}monty_10doors_mod_switch <- function(){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.The computation of the theoretical probability in this case might not be completely obvious, however, use your empirical probability to make a guess. ```{r}```Not for submission: Play with this modified setup, for example Monty opens 6 doors at step 2 etc. # 4. BONUS: Monty Hall with n-doors.Repeat the Monty Hall experiment now with n doors. Recall the game is as follows: Step 1: you choose one door at random.Step 2: Monty opens n-2 (out of n-1 doors) that do not have the prize. Step 3: you either switch or don't switch. Set up the experiment two functions "monty_10doors_noswitch" and "monty_10doors_switch" (these functions will have input value as n):```{r}monty_ndoors_noswitch <- function(n){}monty_ndoors_switch <- function(n){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.Compare your answers with the actual theoretical predictions.```{r}```
Week 7: Discussion Questions 1/2
1. Can linear and nonlinear optimization problems use the same approach to find a solution? For example, if the GRG algori ...
Week 7: Discussion Questions 1/2
1. Can linear and nonlinear optimization problems use the same approach to find a solution? For example, if the GRG algorithm is used to solve a nonlinear optimization problem, will it work to solve a linear optimization problem? Discuss whether or not the GRG algorithm will always find a corner point similar to the feasible-region approach.2. Nonlinear optimization problems can have multiple solutions, and a solution can be local or global. Can there be multiple local solutions? Explain your answer. Can there be multiple global solutions? Explain our answer.My instructor would like each answer to be a couple paragraphs in length.
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