All categories

1 year ago

Automated Teller Machines (ATMs) provide all the following services except __.

2 answers:

7 0

Most ATM machines at a bank will allow you to deposit money, transfer money and check your account balance.
So the answer would be C.

Ivenika [448]1 year ago

5 0

Answer:

Option: C is the correct answer.

C. Check cashing.

Step-by-step explanation:

There basic functions of ATM(Automated Teller Machine) are--

1. It helps us to withdraw cash by swiping or inserting our card to the ATM machine.

2. It helps to check the bank balance i.e. the amount present in our bank account

3. It helps to deposit cash.

4. It helps to withdraw local currency at foreign Bank's ATM.

Hence, the service that is not provided at ATM is:

C. Check cashing

You might be interested in

In how many ways can you spell the word ROOM in the grid below? You can start on any letter R, then on each step you can step on

Zina [86]

Answer:

84? Not sure but pretty sure

Step-by-step explanation:

In a straight line, the word can only be spelled on the diagonals, and there are only two diagonals in each direction that have 2 O's.

If 90° and reflex turns are allowed, then the number substantially increases.

Corner R: can only go to the adjacent diagonal O, and from there to one other O, then to any of the 3 M's, for a total of 3 paths.

2nd R from the left: can go to either of two O's, one of which is the same corner O as above. So it has the same 3 paths. The center O can go to any of 4 Os that are adjacent to an M, for a total of 10 more paths. That's 13 paths from the 2nd R.

Middle R can go the three O's on the adjacent row, so can access the three paths available from each corner O along with the 10 paths available from the center O, for a total of 16 paths.

Then paths accessible from the top row of R's are 3 +10 +16 +10 +3 = 42 paths. There are two such rows of R's so a total of 84 paths.

6 0

2 years ago

Read 2 more answers

ACME Manufacturing claims that its cell phone batteries last more than 32 hours on average in a certain type of cell phone. Test

son4ous [18]

Answer:

We can conclude that the battery life is greater than the 32 hour claim.

Step-by-step explanation:

The null hypothesis is:

$H_{0} = 32$

The alternate hypotesis is:

$H_{1} > 32$

Our test statistic is:

$t = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}$

In which X is the statistic, $\mu$ is the mean, $\sigma$ is the standard deviation and n is the size of the sample.

In this problem, we have that:

$X = 37.8, \mu = 32, \sigma = 10, n = 18$

$t = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}$

$t = \frac{37.8 - 32}{\frac{10}{\sqrt{18}}}$

$t = 2.46$

We need to find the probability of finding a mean time greater than 37.8. If it is 5% of smaller(alpha = 0.05.), we can conclude that the battery life is greater than the 32 hour claim.

Probability of finding a mean time greater than 37.8

1 subtracted by the pvalue of z = t = 2.46.

z = 2.46 has a pvalue of 0.9931

1 - 0.9931 = 0.0069 < 0.05

So we can conclude that the battery life is greater than the 32 hour claim.

5 0

2 years ago

The following table represents a sample of sale prices, in thousands of dollars, and number of

djverab [1.8K]

Correct question

Sale Price :160 | 180 | 200 | 220 | 240 | 260 | 280

New home : 126 | 103 | 82 | 75 | 82 | 40 | 20

A.) state the linear regression function that estimates the number of new homes available at a specific price.

B.) state the correlation Coefficient of the data, and explain what it means in the context of the problem

Answer:

Y = -0.79X + 249.86

R = -0.9543

Step-by-step explanation:

Sale Price :160 | 180 | 200 | 220 | 240 | 260 | 280

New home : 126 | 103 | 82 | 75 | 82 | 40 | 20

Calculate the Linear regression equation :

Using the linear regression calculator :

The linear regression equation is :

Y = -0.79X + 249.86

The correlation Coefficient 'R' measures the strength of statistical relationship between the relative movement of two variables. The The value of R is -0.9543 in the question above.

This is a strong negative correlation, which means that high sales price of homes scores correlates with low number of new homes scores (and vice versa). Homes with high sales price have fewer number of new homes.