Answer:
Product A performed better in the study because only 30% failed to get relief with this product, whereas 39% failed to get relief with Product B.
Step-by-step explanation:
Sample A = 20 people
Experienced relief in A = 14 people
Sample B = 100 people
Experienced relief in B = 61 people
The percentages of people who failed to get relief with each product are defined as follows:
Therefore, Product A performed better in the study because only 30% failed to get relief with this product, whereas 39% failed to get relief with Product B.
Answer:
Null Hypothesis, 
: 
= 0
Alternate Hypothesis, 
0
Step-by-step explanation:
We are given that a local insurance agent randomly selected profiles for 10 of his clients and checked online price quotes for their policies.
Then, based on paired data on the 10 clients (the price he offered them and the corresponding online quote), he obtained t-statistic = 0.709 p-value = 0.248.
Here , we will use the concept of Paired data test statistics because the prices that the local insurance agent offered and the corresponding online quotes are from the same single data. These information has not been taken from the two independent samples.
So, <u>Null Hypothesis</u>, : = 0
<u>Alternate Hypothesis</u>, 0
Here, null hypothesis states that there is no difference between the price he offered them and the corresponding online quote.
On the other hand, alternate hypothesis states that there is difference between the price he offered them and the corresponding online quote.
Hence, this would be the correct null and alternative hypothesis.
A 90 Degree counter clockwise rotation
Answer:
Aria played 2 games and went on 7 rides.
Step-by-step explanation:
