Answer:
The 95% confidence interval would be given (0.622;0.644).
We are confident (95%) that the true proportion of people that said that they change their nail polish once a week is between 0.622 and 0.644
Step-by-step explanation:
Data given and notation
n=7000 represent the random sample taken
X=4431 represent the people that said that they change their nail polish once a week
estimated proportion of people that said that they change their nail polish once a week
represent the significance level
Confidence =0.95 or 95%
p= population proportion of people that said that they change their nail polish once a week
Solution to the problem
The confidence interval would be given by this formula
For the 95% confidence interval the value of 
and 
, with that value we can find the quantile required for the interval in the normal standard distribution.
And replacing into the confidence interval formula we got:
And the 95% confidence interval would be given (0.622;0.644).
We are confident (95%) that the true proportion of people that said that they change their nail polish once a week is between 0.622 and 0.644
X=10. so x-3 would be 7. e would equal 7. so 5x7=35
List the first few prime numbers.
2, 3, 5, 7, 11, 13, ...
We want the product of the three lowest prime numbers to form the least whole number.
2*3*5 = 30
This the least whole number.
Answer:
The number is 30.
It factors into 2, 3 and 5.
Ramp 2=35
Ramp 1=8.............
- The distribution is skewed left.
- The median is an accurate measure of center.
- The interquartile range is an accurate measure of spread.
<h3>How to find the Distribution of data?</h3>
Probability plots might be the best way to determine whether your data follow a particular distribution. If your data follow the straight line on the graph, the distribution fits your data. This process is simple to do visually. Informally, this process is called the “fat pencil” test.
For skewed distributions, it is quite common to have one tail of the distribution considerably longer or drawn out relative to the other tail.
As, it is known that, when the distribution of data is left-skewed, the mean is less than median.
- In any research of distribution, the distribution is described by its shape. If there are more higher values than lower values, the distribution is skewed left.
- The distribution can be described by its center. If the distribution is skewed left or right, the median is an accurate measure of center.
- The distribution can be described by its spread. If the data set does not have an outlier, the interquartile range is an accurate measure of spread.
Learn more about distribution of data here:
brainly.com/question/304810
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