Alison wants to find out how much time people spend reading books. She is going to use a questionnaire.

1 answer:

5 0

Well, for her questionnaire she could use and create questions or queries that are obviously related to her hypothesis or study. These could be done in a likert type of scale. 
1. I read most often.
 a. Strongly Agree b. Agree c. Disagree d. Strongly Disagree 

2. When I read my books its takes me 24 hours a day 
a. Strongly Agree b. Agree c. Disagree d. Strongly Disagree 

3. When I start reading I can’t stop 
a. Strongly Agree b. Agree c. Disagree d. Strongly Disagree

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Gabby is a makeup artist and carries a lot of makeup around with her. she has 20 cosmetics in her bag, including 4 eye shadows.

myrzilka [38]

Answer:

1/5

Step-by-step explanation:

this is because 4/20 simplifies to 1/5

give brainliest please.

hope this helps :)

7 0

2 years ago

Suppose that a jewelry store tracked the amount of emeralds they sold each week to more accurately estimate how many emeralds to

RUDIKE [14]

Answer:

The confidence interval for the mean is given by the following formula:

$\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}$ (1)

And for this case the 95% confidence interval is given by (2.13; 2.37)

We have a point of estimate for the sample mean with this formula:

$\bar X = \frac{Upper+ Lower}{2}= \frac{3.37+2.13}{2}= 2.75$

And for the margin of error we have the following estimation:

$ME= \frac{Upper -Lower}{2}= \frac{3.37-2.13}{2}= 0.62$

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

$\bar X$ represent the sample mean