65*0.20=13 (0.20 because 20/100=20% is 0.20 in decimal form)
65-13=52
55% if the percent is out of 100%. in which most weather statisics are out of 100. in which you take 100-45= giving you 55%
Remember when solving inequalities the sign of your inequality reverses when dividing or multiplying negative values. k/-12<15. k>-180 [-180, positive infinity)
Answer:
8
Step-by-step explanation:
J'espère que cela t'aides! si c'est le cas, puis-je avoir un brainliest ?
Answer:
For this case the parameter of interest is given by:
who represent the true proportion of respondents said that they were willing to pay more for products and services from companies who are committed to positive social and environmental impact
For this case we have an estimation given for this parameter. The estimation comes from a sample of 30000 people selected in 60 countries and they got:

This value represent the best estimator for the true proportion since is an unbiased estimator of the real parameter:

Step-by-step explanation:
For this case the parameter of interest is given by:
who represent the true proportion of respondents said that they were willing to pay more for products and services from companies who are committed to positive social and environmental impact
For this case we have an estimation given for this parameter. The estimation comes from a sample of 30000 people selected in 60 countries and they got:

This value represent the best estimator for the true proportion since is an unbiased estimator of the real parameter:

For this case if we want to test if the population proportion is equal to an specified value we can use the one sample z test for a proportion:
Null hypothesis:
Alternative hypothesis:
When we conduct a proportion test we need to use the z statisitc, and the is given by:
(1)
The One-Sample Proportion Test is used to assess whether a population proportion
is significantly different from a hypothesized value
.