Rhonda spends $129.95 on camping equipment before tax. The sales-tax rate in her city is 8.25%.What is the total cost of Rhonda’s purchase?
The inequality will be:

Step-by-step explanation:
We need to write the inequality for the condition:
To get the 10% discount, a shopper must spend at least $200.Use d to represent the spending (in dollars) of a shopper who gets the discount.
Solution:
A person will get 10% discount if he spends $200 or more
Let x represents the amount that the shoppers will spend on shopping.
at least spend means the shoppers should spend $200 or more on the shopping to get the discount.
The inequality will be:

Keywords: Solving inequalities
Learn more about Solving inequalities at:
#learnwithBrainly
-18.9, -18.33, -6.111, -2.47, 2.99, 6.55, 7.4, 7.66
Answer:
Step-by-step explanation:
Let p be the population proportion of readers who would like more coverage of local news.
As per given , we have
sample size :=1600
sample proportion : 
The confidence interval for population proportion is given by :-

From z-table ,
For 99% confidence interval the z-value is 2.576.
Substitute all the values in the above formula , we get
The 99% confidence interval for the proportion of readers who would like more coverage of local news as






Hence, the 99% confidence interval for the proportion of readers who would like more coverage of local news is
.
Answer:
The degrees of freedom are given by:

The significance level is
and then the critical value can be founded in th chi square table we need a quantile that accumulates 0.05 of the area in the right tail of the distribution and for this case is:

And if the chi square statistic is higher than the critical value we can reject the null hypothesis in favor of the alternative.
Step-by-step explanation:
We have the followign system of hypothesis:
Null hypothesis: 
Alternative hypothesis: 
The degrees of freedom are given by:

The significance level is
and then the critical value can be founded in th chi square table we need a quantile that accumulates 0.05 of the area in the right tail of the distribution and for this case is:

And if the chi square statistic is higher than the critical value we can reject the null hypothesis in favor of the alternative.