Question

statzzz

Answer 1

@Michele_Laino

Answer 2

I was wondering if you could check my answers...

Answer 3

thanks!

Answer 4

question #4, I got
\[\Large \left( {0.7242,\quad 0.8358} \right)\]

Answer 5

Solve negative 7 over 3, the whole multiplied by x minus 3 equals negative 52.

21
39
45
59

Answer 6

Need help

Answer 7

question #9 I got 2401, namely the last option. Please you have to reply, since I can not give you the answer directly

Answer 8

ok sorry

Answer 9

i just got back

Answer 10

and got it and thanks

Answer 11

are you on 10?

Answer 12

Help

Answer 13

question #10
my definition of error margin m, is:
\[m = \frac{{\Delta a}}{a}\]
where a is the mean value, and \Delta a is the uncertainty on a

Answer 14

how have you defined the error margin?

Answer 15

ok

Answer 16

Ok ill wait

Answer 17

@Michele_Laino are all the others right?

Answer 18

I'm pondering...

Answer 19

ok np

Answer 20

for example, in question #3 how do you got 745?

Answer 21

can you write your steps, in order to get 745?

Answer 22

it was so long ago when I did these i forgot the steps but remembered the ansers that is why im asking for u to check them lol

Answer 23

ok! do you remember the definition of error margin?

Answer 24

question #3 the standard deviation is:
11.534
so the 95% confidence interval is 11.534* 1.65 = 19

Answer 25

ok thnxs sorry for the late reply

Answer 26

The graph below shows the prices of different numbers of boots at a store:

A graph is shown. The values on the x axis are 0, 2, 4, 6, 8, and 10. The values on the y axis are 0, 25, 50, 75, 100, and 125. Points are shown on ordered pairs 0, 0 and 2, 25 and 4, 50 and 6, 75 and 8, 100. These points are connected by a line. The label on the x axis is Number of Boots. The title on the y axis is Price in dollars.

Which equation can be used to determine p, the cost of b boots?

p = 12.50b
p = 25b
b = 25p
b = 12.50p

Answer 27

question #5 I got 261, namely, close to the first option

Answer 28

question #3 I got n=751

Answer 29

nice and thnxs!

Answer 30

question #6 I think you are right! we have to determine the new proportion

Answer 31

question #10
hint:
the formula for margin error, is:
\[\Large m = {z^*}\sqrt {\frac{{p\left( {1 - p} \right)}}{n}} \]
where p is the sample proportion, n is the sample size, and z* is the value which comes from the percentage of the confidence level

Answer 32

question #7
I got:
\[\Large \left( {0.24316,\quad 0.35684} \right)\]

Answer 33

the procedure is the same as in the first exercise, we have to apply the binomial distribution

Answer 34

question #8, I got:
n= 504.21, so your answer is right!

Answer 35

awesome! thnxs

Answer 36

finally, for question #9, I have applied the subsequent formula:
\[\Large \frac{{1.96}}{{\sqrt n }} = 0.04\]

Answer 37

our homework is completed!

Answer 38

yah!!1 can u help later? if so, can u give the hours your online

Answer 39

I will stay here for at least 2 hours

Answer 40

ok cool can u help some more then plz?

Answer 41

ok!

Answer 42

one second plz, give me 10 minutes before i upload some more and ty soo much

Answer 43

@Michele_Laino , is #10 right?

Answer 44

question #10
I give this hint:
\[m = {z^*}\sqrt {\frac{{p\left( {1 - p} \right)}}{n}} \]
m is the margin of error, p is the sample proportion, n is the sample size, and z* is coming from the percentage of confidence level, namely if confidence level is 95%, then z*=1.96,
if confidence level is 90%, then z*=1.65

Answer 45

I think option 3 only

Answer 46

ok