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nikklg [1K]
3 years ago
5

Deloria says she can find the relative frequency of nuts based on another relative frequency. What might she be doing?

Mathematics
1 answer:
forsale [732]3 years ago
3 0

Answer:

frequency of nuts based on another relative frequency. What might

she be doing

nuts:3/30=15%

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I have one more question before im done so please help and have a good day.
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Answer:

  • See below

Step-by-step explanation:

<h3>Part A</h3>

<u>Solve the equation:</u>

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  • x² + 8x + 16 + 4 = 0
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  • (x + 4)² = - 4

The left side is positive and right side is negative so no solution

<h3>Part B</h3>

There is no intercession with the x-axis, the graph of the function is entirely above the x-axis.

It means the diver won't reach the bottom of the lake

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2 years ago
-3(2d)+ (-5e +6) + (3d-8) I'm standard form
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Answer:

−3d−5e−2

Step-by-step explanation:

7 0
3 years ago
The mean SAT score in mathematics, M, is 600. The standard deviation of these scores is 48. A special preparation course claims
kupik [55]

Answer:

Step-by-step explanation:

The mean SAT score is \mu=600, we are going to call it \mu since it's the "true" mean

The standard deviation (we are going to call it \sigma) is

\sigma=48

Next they draw a random sample of n=70 students, and they got a mean score (denoted by \bar x) of \bar x=613

The test then boils down to the question if the score of 613 obtained by the students in the sample is statistically bigger that the "true" mean of 600.

- So the Null Hypothesis H_0:\bar x \geq \mu

- The alternative would be then the opposite H_0:\bar x < \mu

The test statistic for this type of test takes the form

t=\frac{| \mu -\bar x |} {\sigma/\sqrt{n}}

and this test statistic follows a normal distribution. This last part is quite important because it will tell us where to look for the critical value. The problem ask for a 0.05 significance level. Looking at the normal distribution table, the critical value that leaves .05% in the upper tail is 1.645.

With this we can then replace the values in the test statistic and compare it to the critical value of 1.645.

t=\frac{| \mu -\bar x |} {\sigma/\sqrt{n}}\\\\= \frac{| 600-613 |}{48/\sqrt(70}}\\\\= \frac{| 13 |}{48/8.367}\\\\= \frac{| 13 |}{5.737}\\\\=2.266\\

<h3>since 2.266>1.645 we  can reject the null hypothesis.</h3>
6 0
3 years ago
Read 2 more answers
A new bank account is opened on week 1 with a $200 deposit. After that first week, weekly deposits of $55 are made in the accoun
inysia [295]
Y=55x+200, you multiply the number of weeks by the amount of money, and add 200 because they started with that.   
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Answer:

Q2) A 0.5//// B 0.11//// C 1.7//// D 1.15//// E 2.13//// F 4.1

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