Aperson who claims to be psychic says that the​ probability, p, that he can correctly predict the outcome of the value of of a card drawn from a deck of cards in another room is greater than 1 divided by 13​, the value that applies with random guessing. if we want to test this​ claim, we could use the data from an experiment in which he predicts the outcomes for n trials. state hypotheses for a significance​ test, letting the alternative hypothesis reflect the​ psychic's claim.

The required null and alternative hypothesis are and .

Step-by-step explanation:

Consider the provided information.

A person who claims to be psychic says that the​ probability, p, that he can correctly predict the outcome of the value of a card drawn from a deck of cards in another room is greater than 1/13​, the value that applies with random guessing.

To test this claim we need to use the data from an experiment in which he predicts the outcomes for n trials.

Since, alternative hypothesis represents the effect and null hypothesis represents no effect,

Therefore null hypothesis will be: The person can predict outcome of the value of a card drawn in another room 1/13.  

The alternative hypothesis will be the person can predict outcome of the value of card is greater than 1/3.  

Hence, the required null and alternative hypothesis are and .

3 && 5 are correct

Step-by-step explanation:

On edge

 d)

Explanation:

A simple random sample is a subset of a statistical population in which each member of the subset has an equal probability of being chosen. It also has the characteristic that a simple random sample is meant to be an unbiased representation of a group.

In a simple random sample, the sample is always smaller than the population (since it's a subset of it).

There are also two kinds of random sample, one with replacement (in which the same element is put back into the population and it can be taken for the sample again, thus is being selected more than once) and one without replacement (in which every element can only be selected once).

There is no really a standard size for each sample as long as it is smaller than the population, however, smaller samples can tend to reduce reliability and therefore can bias our experiment so they are not recommend. Also the idea of the sample is that we can generalize our observations into the general population and this can happen with larger samples.

Thus, the characteristics that apply to random sampling are:

d) All observations in the population are equally likely to be selected into the sample.

a

Step-by-step explanation:

C and E

Step-by-step explanation:

The conditional relative frequency that someone is in high school, given that the person prefers to study without music, is about 0.56.

If someone prefers to study with music, the probability the person is in HS is about 44%.

Code implemented using C++ below

Explanation:

sambswas

answered this

#include<iostream>

#include<cstdlib>

#define CYCLES 100

using namespace std;

struct page_table_entry {

int page_num;

int last_access_time;

int first_access_time;

};

int num_of_frames;

int sequence;

struct page_table_entry *page_table;

void init() {

page_table = new page_table_entry[num_of_frames];

for (int i = 0; i < num_of_frames; i++) {

page_table[i].page_num = -1;

page_table[i].first_access_time = -1;

page_table[i].last_access_time = -1;

}

sequence = 0;

}

int get_random_page() {

sequence++;

return rand() % 10;

}

int request_frame_LRU() {

for (int i = 0; i < num_of_frames; i++)

if (page_table[i].page_num == -1) {

cout << "Empty frame found at location " << i << endl;

return i;

}

int target = 0;

for (int i = 1; i < num_of_frames; i++)

if (page_table[i].last_access_time < page_table[target].last_access_time)

target = i;

cout << "target frame is " << target << ", containing page " << page_table[target].page_num << endl;

return target;

}

int request_frame_FIFO() {

for (int i = 0; i < num_of_frames; i++)

if (page_table[i].page_num == -1){

cout << "Empty frame found at location " << i << endl;

return i;

}

int target = 0;

for (int i = 1; i < num_of_frames; i++)

if (page_table[i].first_access_time < page_table[target].first_access_time)

target = i;

cout << "target frame is " << target << ", containing page " << page_table[target].page_num << endl;

return target;

}

int search_page(int page) {

for (int i = 0; i < num_of_frames; i++) {

if (page_table[i].page_num == -1)

continue;

if (page_table[i].page_num == page) {

cout << "page " << page << " found at location " << i << endl;

return i;

}

}

cout << "page " << page << " not found" << endl;

return -1;

}

void LRU() {

init();

int miss = 0;

int hit = 0;

for (int i = 0; i < CYCLES; i++) {

int page = get_random_page();

cout << "Requested page is: " << page << endl;

int location = search_page(page);

if (location > 0) {

page_table[location].last_access_time = sequence;

hit ++;

}

else {

location = request_frame_LRU();

page_table[location].page_num = page;

page_table[location].first_access_time = sequence;

page_table[location].last_access_time = sequence;

miss++;

}

cout << endl;

}

double hit_ratio = (double)hit/(hit+miss);

cout << " LRU " << endl;

cout << "hits: " << hit << endl;

cout << "misses: " << miss << endl;

cout << "hit ratio: " << hit_ratio << endl;

cout << "for frame size " << num_of_frames << endl;

cout << "" << endl << endl;

}

void FIFO() {

init();

int miss = 0;

int hit = 0;

for (int i = 0; i < CYCLES; i++) {

int page = get_random_page();

cout << "Requested page is: " << page << endl;

int location = search_page(page);

if (location > 0) {

page_table[location].last_access_time = sequence;

hit ++;

}

else {

location = request_frame_FIFO();

page_table[location].page_num = page;

page_table[location].first_access_time = sequence;

page_table[location].last_access_time = sequence;

miss++;

}

cout << endl;

}

double hit_ratio = (double)hit/(hit+miss);

cout << " FIFO " << endl;

cout << "hits: " << hit << endl;

cout << "misses: " << miss << endl;

cout << "hit ratio: " << hit_ratio << endl;

cout << "for frame size " << num_of_frames << endl;

cout << "" << endl << endl;

}

int main() {

srand(time(NULL));

num_of_frames = rand() % 7 + 1;

LRU();

FIFO();

}

Correct option: c. Double blind.

Step-by-step explanation:

A double blind experiment is an experiment where the participants are divided into two groups: one is the experimental group and the other is a control group. The participants in the experimental group are provided with a treatment and those in the control group are not provided with the treatment but are given a placebo.

In this experiment neither the researcher nor the participants know to which group a participant is placed.

After the experiment the results for the two groups are compared and the conclusion is hence drawn.

Here the researcher randomly assigned babies to either usual care or to a whole-body cooling group. The experimental group is the cooling group and the control group is the group provided with usual treatment.

Thus, the researchers are conducting a double blind experiment to determine whether reducing body temperature for three days after birth increased the rate of survival without brain damage or not.

Thus, the correct option is (c).

Step-by-step explanation: see attachment