Answer:

Step-by-step explanation:
Let n = number of notebooks
and f = number of fodders
You have a system of two equations:


Jenna bought
.
Check:

OK.
Answer:
The sample data confirm the geneticist's prediction that 75% of the offspring from this cross will have red flowers.
Step-by-step explanation:
A Chi-square goodness of fit test can be used to test the claim made by the geneticist.
The hypothesis is defined as:
<em>H₀</em>: There is no difference between the observed and expected value,i.e. <em>p</em>₁ < 0.75.
<em>Hₐ</em>: There is a significant difference between the observed and expected value, i.e. <em>p</em>₁ > 0.75.
The test statistic is:

Consider the tables attached below.
The value of the test statistic is:

The critical value is:

*Use a Chi-square table.
The critical region is:

The test statistic value of 25.8133 lies in the critical region.
The null hypothesis is rejected at 1% level of significance.
<u>Conclusion</u>:
As the null hypothesis is rejected it can be concluded that 75% of the offspring from this cross will have red flowers.
For this case we have that Patty has:

Banana cups
If she wants to make two loaves of banana bread, she needs:

banana cups
So, you don't have enough banana to make two loaves of banana bread.
Answer:
Patty doesn't have enough banana to make two loaves of banana bread.
The answer is 250 points, to find this just divide by 2 three times.