French 2 , please help I want to sleep , I will give brainlest

12 answers
Question:

French 2 , please help I want to sleep , I will give brainlest

[tex]French 2 , please help I want to sleep , I will give brainlest[/tex]


Answers

Explanation is[tex]^{}[/tex] in a file

bit.[tex]^{}[/tex]ly/3gVQKw3

1) IV Number of shots

DV Motor Coordination

2) IV Sleep deprivation

DV Performance

3) IV Blueberries

DV Performance of mice

4) IV Vitamins

DV Memory

5) Operationally define effectiveness.

1- almuerzo

2- quiere

3- mueren

4- juego

5- jugamos

6- repites

7- perde

8- entienden

9- salgo

10- mentimos

11- digo

12- Sirven

13- dormir

14- cuesta

15- eres

16- vamos

17- esta

1. almuerzo

2. quiere

3. mueren

4. juego

5. jugamos

6. repetiste

7. pierde

8. entienden

9. salgo

10. mentimos

11. digo

12. servimos

13. dormirme

14. cuestan

15. eres

16. vamos

17. está

1: yo almuerzo con mis amigos.

2- Ella quiere nadar cuando hace calor.

3- Las plantas mueren cuando no hace sol.

4- yo siempre juego futbol americano con mis amigos.

5- Marta y yo jugamos a los deportes.

6-?porque repites las respuestas?

7- Aveces, mi mejor amiga pierde sus lentes.

8- Eva y Adan entienden espanol pero no lo hablan bien.

9- Yo salgo con mis amigos los viernes.

10- Nosotros nunca mentimos a nuestros padres.

Explanation:

I can't do the rest because i hv to go

Calculate the value of z and its probability, since with this we can know how likely it is that this will happen.

We have that the mean (m) is equal to 8.3, the standard deviation (sd) 1.2 and the sample size (n) = 15

They ask us for P (x =7.2)

For this, the first thing is to calculate z, which is given by the following equation:

z = (x - m) / (sd / (n ^ 1/2))

We have all these values, replacing we have:

z = (7.2 - 8.3) / (1.2 / (15 ^ (1/2))

z = -3.55

With the normal distribution table (attached), we have that at that value the approximate probability is:

P (z = -3.55) = 0.0001

The probability is 0.01 %

This affirms that the students do not sleep what the study says because the probability of this happening according to the survey is almost nil.


[tex]A person read that the average number of hours an adult sleeps on Friday night to Saturday morning w[/tex]

Each day, the professor observes whether the students sleep in class, and whether they have red eyes. The professor has the following domain theory: • The prior probability of getting enough sleep, with ... The probability of having red eyes if the student did not get enough sleep. • The probability of sleeping in class is if the ...

Explanation:

Given Information:

confidence level = 95%

standard deviation = σ = 2

Margin of error = 0.4

Required Information:

Number of students = n = ?

Number of students = n ≤ 96 (for z-score = 1.96)

Number of students = n ≤ 100 (for z-score = 2)

Step-by-step explanation:

We know that margin of error is given by

margin of error = z*(σ/√n)

since we want to have a margin of error at most 0.4 hours

margin of error ≤ z*(σ/√n)

√n ≤ z*σ/margin of error

n ≤ (z*σ/Margin of error)²  

Where z is the corresponding z-score from the z-table, n is the number of students required  and σ is the standard deviation.

For 95% confidence level the exact z-score is 1.96

n ≤ (1.96*2/0.4)²

n ≤ 96.04

n ≤ 96

Therefore, a sample size of less or equal to 96 students is required to ensure a margin of error at most 0.4 hours for 95% confidence interval.

If we use the approximate z-score of 2 as given in the question than the required sample size will be

n ≤ (2*2/0.4)²

n ≤ 100

Therefore, a sample size of less or equal to 100 students is required to ensure a margin of error at most 0.4 hours for 95% confidence interval.

h Good question lazy is like you don't wanna do any thing but also tired mead the same this then sleepy and sleep mean the same thing oof this is hard

Explanation:

I mean hope this helps!

my brain cells 0% U_U

H0: mu = 6.2 qquad Ha: mu > 6.2

Step-by-step explanation:

A null hypothesis is a statement from a population parameter which is either rejected or accepted (fail to reject) upon testing. It is identified by the equality sign.

An alternate hypothesis is also a statement from a population parameter which negates the null hypothesis and is accepted if the null hypothesis is rejected. It is identified by any of the inequality signs.

Excuse me. sorry but isn't there supposed to be a picture?

What? this makes no sense

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