Answer:
sorry, i haven't understood your question!! how can i tell which statement is false.
Answer:
Step-by-step explanation:
For this case we have a sample size of n = 250 units and in this sample they found that 24 units failed one or more of the tests.
We are interested in the proportion of units that fail to meet the company's specifications, and we can estimate this with:
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".
The confidence interval for a proportion is given by this formula
For the 98% confidence interval the value of 
and 
, with that value we can find the quantile required for the interval in the normal standard distribution.
And the margin of error would be:
Answer:
Scale factor is used to find the coordinates depending upon whether the scale factor value is less than one or more than one.
Step-by-step explanation:
A scale factor is a number which scales, or increases, some amount. In the condition y = Cx, C is the scale factor for x. C is likewise the coefficient of x, and might be known as the steady of proportionality of y to x.
An object is augmented if the scale factor is more noteworthy than 1. An article is decreased if the scale factor is a division, under 1. To discover the expanded picture, we initially should know the directions of our unique picture. At that point we basically increase the arrange by the scale factor to discover the widened picture.
