Which criteria are responsible for deciding whether a heterogeneous mixture Is a colloid or a suspension?

A bakery asks 75 customers to vote for a new bagel flavor. Onion flavor receives 33 votes. Cheddar flavor receives 42 votes. Use

m_a_m_a [10]

Using proportions, it is found that:

The fraction that shows the proportion of customers who voted for cheddar flavor is $\frac{42}{75}$

56% of customers voted for cheddar flavor.

A proportion is the <u>number of desired outcomes divided by the number of total outcomes</u>.

A percentage is the <u>proportion multiplied by 100%</u>.

In this question, 42 out of 75 customers voted for the cheddar flavor, hence:

$p = \frac{42}{75}$

That is, the fraction that shows the proportion of customers who voted for cheddar flavor is $\frac{42}{75}$

The percentage is:

$\frac{42}{75} \times 100\% = 56\%$

56% of customers voted for cheddar flavor.

To learn more about proportions, you can take a look at brainly.com/question/24372153

8 0

2 years ago

I don't understand what to do because I don't understand the question

kirill [66]

Find the 2 different rates at which the farm worker worked:

3 pints
--------- = 0.75 pint/min
4 min

2 pints
---------- = 0.67 pint/ min
3 min

Then you need to subtract 0.67 pint/min from 0.75 pint/min to answer this question.

Alternatively, subtract 2/3 pint/min from 3/4 pint/min.

4 0

2 years ago

10% of X is 20 what is 23% of X

velikii [3]

Answer:

46

Step-by-step explanation:

10%*X=20

X=20/(10%)

X=20/0.1

X=200

23%*200=46

6 0

2 years ago

It is claimed that automobiles are driven on average more than 20,000 kilometers per year. To test this claim, 100 randomly sele

kow [346]

Answer:

$t=\frac{23500-20000}{\frac{3900}{\sqrt{100}}}=8.974$

$p_v =P(t_{99}>8.974)=9.43x10^{-15}$

If we compare the p value and the significance level given for example $\alpha=0.05$ we see that $p_v$ so we can conclude that we to reject the null hypothesis, and the actual mean is significantly higher than 20000.

Step-by-step explanation:

1) Data given and notation

$\bar X=23500$ represent the sample mean

$s=3900$ represent the sample standard deviation

$n=100$ sample size

$\mu_o =2000$ represent the value that we want to test

$\alpha$ represent the significance level for the hypothesis test.

t would represent the statistic (variable of interest)

$p_v$ represent the p value for the test (variable of interest)

State the null and alternative hypotheses.

We need to conduct a hypothesis in order to determine if the true mean is higher than 20000, the system of hypothesis would be:

Null hypothesis: $\mu \leq 2000$

Alternative hypothesis: $\mu > 2000$

We don't know the population deviation, so for this case is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:

$t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}$ (1)

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".

Calculate the statistic

We can replace in formula (1) the info given like this:

$t=\frac{23500-20000}{\frac{3900}{\sqrt{100}}}=8.974$

Calculate the P-value

First we need to calculate the degrees of freedom given by:

$df=n-1=100-1=99$

Since is a one-side upper test the p value would be:

$p_v =P(t_{99}>8.974)=9.43x10^{-15}$

Conclusion

If we compare the p value and the significance level given for example $\alpha=0.05$ we see that $p_v$ so we can conclude that we to reject the null hypothesis, and the actual mean is significantly higher than 20000.

8 0

2 years ago

Using the trend line y = 8x + 8, for the data shown, complete the residual table.

Anit [1.1K]

Answer:

-1,0,2,-2,0 in that order

Step-by-step explanation:

3 0

2 years ago

Read 2 more answers