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Brut [27]
2 years ago
13

1dasd2sdasd2asdas3adsd2sadasd3asdas2sda12sdasd1asda2asdasd

Mathematics
1 answer:
nadya68 [22]2 years ago
4 0
Not a question about any mathematics
You might be interested in
Margot has 21 1/2 pounds of flour 8 pounds of butter and 18 1/2 ponds of sugar to make shortbread cookies if she makes 12 batche
adell [148]

Answer:

<em>4 pounds of ingredients are used in each batch.</em>

Step-by-step explanation:

Amount of flour = 21\frac{1}{2}pounds = \frac{43}{2}pounds

Amount of butter = 8 pounds

Amount of sugar = 18\frac{1}{2}pounds= \frac{37}{2} pounds

So, the <u>total amount of all ingredients</u> will be:   (\frac{43}{2}+\frac{37}{2}+8)pounds = (\frac{43+37+16}{2}) pounds= \frac{96}{2} pounds = 48 pounds

Given that, she makes 12 batches of cookies using all the ingredients.

Thus, the amount of ingredients used in each batch =\frac{48}{12} pounds = 4 pounds

5 0
2 years ago
In the linear equation y=3x-4, -4 represents the slope
damaskus [11]
3 (3/1) represents the slope and -4 is the y-intercept
4 0
3 years ago
A powder diet is tested on 49 people, and a liquid diet is tested on 36 different people. Of interest is whether the liquid diet
brilliants [131]

Answer:

There is not enough evidence to support the claim that the liquid diet yields a higher mean weight loss than the powder diet (P-value = 0.15).

Step-by-step explanation:

This is a hypothesis test for the difference between populations means.

The claim is that the liquid diet yields a higher mean weight loss than the powder diet.

Then, the null and alternative hypothesis are:

H_0: \mu_1-\mu_2=0\\\\H_a:\mu_1-\mu_2< 0

The significance level is 0.05.

The sample 1 (powder diet group), of size n1=49 has a mean of 42 and a standard deviation of 12.

The sample 2 (liquid diet group), of size n2=36 has a mean of 45 and a standard deviation of 14.

The difference between sample means is Md=-3.

M_d=M_1-M_2=42-45=-3

The estimated standard error of the difference between means is computed using the formula:

s_{M_d}=\sqrt{\dfrac{\sigma_1^2}{n_1}+\dfrac{\sigma_2^2}{n_2}}=\sqrt{\dfrac{12^2}{49}+\dfrac{14^2}{36}}\\\\\\s_{M_d}=\sqrt{2.939+5.444}=\sqrt{8.383}=2.895

Then, we can calculate the t-statistic as:

t=\dfrac{M_d-(\mu_1-\mu_2)}{s_{M_d}}=\dfrac{-3-0}{2.895}=\dfrac{-3}{2.895}=-1.04

The degrees of freedom for this test are:

df=n_1+n_2-1=49+36-2=83

This test is a left-tailed test, with 83 degrees of freedom and t=-1.04, so the P-value for this test is calculated as (using a t-table):

\text{P-value}=P(t

As the P-value (0.15) is greater than the significance level (0.05), the effect is not significant.

The null hypothesis failed to be rejected.

There is not enough evidence to support the claim that the liquid diet yields a higher mean weight loss than the powder diet.

6 0
2 years ago
Read 2 more answers
Can yall help me plz<br>-​
Lera25 [3.4K]

Answer:

B

Step-by-step explanation:

Because the numbers are less than 45 and more than 40

3 0
2 years ago
Read 2 more answers
I need help with geometry
Ad libitum [116K]
Same, i need help with geometry too :(
8 0
2 years ago
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