Answer:


Since the p value is lower than the significance level given of 0.05 we have enough evidence to reject the null hypothesis on this case. And the best conclusion for this case is:
We (reject) the null hypothesis. That means that we (found) evidence to support the alternative.
Step-by-step explanation:
We have the following info given:
represent the sampel mean for the age of customers
represent the population standard deviation
represent the sample size selected
We want to test if the mean age of her customers is over 35 so then the system of hypothesis for this case are:
Null hypothesis: 
Alternative hypothesis 
The statistic for this case is given by:

And replacing the data given we got:

We can calculate the p value since we are conducting a right tailed test like this:

Since the p value is lower than the significance level given of 0.05 we have enough evidence to reject the null hypothesis on this case. And the best conclusion for this case is:
We (reject) the null hypothesis. That means that we (found) evidence to support the alternative.
Answer:
x either equals to 4 of 9 so you can write it like x=4, 9
Step-by-step explanation:
Start by simplifying each sides of the equation.
x^2-13x+36=0
Then factor the left side of the equation.
(x-4)(x-9)=0
Set factors equal to 0
x-4=0 or x-9=0
x=4 or x=9
Answer:
5
Step-by-step explanation:
The way to convert counts into relative frequencies in a Two Way Relative Frequency Table is to divide the count by the total number of items
<h3>What is a Frequency Table?</h3>
This refers to the depiction of the number of times in which an event occurs in the form of a table.
Hence, when a two-way frequency table is used, it shows the visual representation of the possible relationship between different sets of data.
Please note that your question is incomplete as you did not provide the frequency table needed and also the trends and generalizations to find, so a general overview was given.
Read more about frequency tables here:
brainly.com/question/12134864
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Answer: This may be late but the answer is C
Step-by-step explanation: You have to look at all your values and count up how many students can fit into each column of your histogram.