Answer:
yes
Step-by-step explanation:
because it sells the best price
The first thing you should do for this case is to graph the data you have in the statement to see the relationship between grapes and blueberries.
The function represented by the table is
y = 0.25x
Then, as Mandie is making 15 glasses of fruit salad, we have:
y + x = 15
We have two equations and two unknowns that we must solve.
y = 0.25x
y + x = 15
Resolving
For x:
0.25x + x = 15
1.25x = 15
x = 15 / 1.25 = 12
For y:
y = 0.25x = 0.25 (12) = 3
Answer
The ratio of grapes to blueberries she should use is 12: 3
The question is incomplete. But this explanation will help you very much.
1) Regarding the function
,
its graph always passes through the points (1,0) and (a,1).That is due to the properties of logarithm function:
a)
b)
<span>
That in turn is due to the properties of the exponential functions.
a^0 = 1 and a^1 = a
</span>
2) Regarding the y-axis.
The function
will never touch the y-axis, because the logaritm of zero is not defined. So
the graph lies to the righ of the y-axis (i.e. the domain of the function is x > 0)
<span>Sample Answer: My prediction was less than the actual count. Instead of multiplying the number squares by a guess for the average, estimate the pennies on the last square to help guide the estimate.</span>
Answer: C. A conclusion based on a confidence interval estimate will be the same as a conclusion based on a hypothesis test.
Explanation: The One-Sample Proportion Test is used to assess whether a population proportion (P1) is significantly different from a hypothesized value (P0). This procedure calculates sample size and statistical power for testing a single proportion using either the exact test or other approximate z-tests.
To write a null hypothesis, first, start by asking a question. Rephrase that question in a form that assumes no relationship between the variables. In other words, assume a treatment has no effect. Write your hypothesis in a way that reflects this.
A null hypothesis is a hypothesis that says there is no statistical significance between the two variables. It is usually the hypothesis a researcher or experimenter will try to disprove or discredit. An alternative hypothesis is one that states there is a statistically significant relationship between two variables.
