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nasty-shy [4]
3 years ago
10

The students in Ms. Gonzales' fifth grade math class earned the following grades on their first test: 46, 56, 64, 64, 72, 76, 77

, 82, 94, 96,99 What was the mean of the grades? (round to the nearest whole number) A. 826 OB. 75 O c. 76 OD. 64 O E 83​
Mathematics
1 answer:
Arturiano [62]3 years ago
7 0

Answer:

75

Step-by-step explanation:

mean = average so add up all your numbers, then divide by the amount of numbers so

46 + 56 + 64 + 64 + 72 + 76 + 77 + 82 + 94 + 96 + 99 = 826

826 ÷ 11 = 75.09 (about)

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The following data lists the ages of a random selection of actresses when they won an award in the category of Best​ Actress, al
Valentin [98]

Answer:

a) p_v =P(t_{(9)}

The p value is higher than the significance level given 0.01, so then we can conclude that we FAIL to reject the null hypothesis. And we can say that the true difference for Best Actresses is not significantly lower than the mean for Best​ Actors at 1% of significance.

b) The 99% confidence interval would be given by (-21.469;2.069)

c) We got the same conclusion as part a, sicne the confidence interval contains the value 0, we FAIL to reject the null hypothesis that the difference between the two

Step-by-step explanation:

Part a

Let put some notation  

x=actor's age , y = actress's age

x: 58 41 36 36 34 33 48 37 37 43

y: 26 27 34 26 35 29 23 42 30 34

The system of hypothesis for this case are:

Null hypothesis: \mu_y- \mu_x \geq 0

Alternative hypothesis: \mu_y -\mu_x

The first step is calculate the difference d_i=y_i-x_i and we obtain this:

d: -32, -14, -2, -10, 1, -4, -25, 5, -7, -9

The second step is calculate the mean difference  

\bar d= \frac{\sum_{i=1}^n d_i}{n}= -9.7

The third step would be calculate the standard deviation for the differences, and we got:

s_d =\frac{\sum_{i=1}^n (d_i -\bar d)^2}{n-1} =11.451

The 4 step is calculate the statistic given by :

t=\frac{\bar d -0}{\frac{s_d}{\sqrt{n}}}=\frac{-9.7 -0}{\frac{11.451}{\sqrt{10}}}=-2.679

The next step is calculate the degrees of freedom given by:

df=n-1=10-1=9

Now we can calculate the p value, since we have a left tailed test the p value is given by:

p_v =P(t_{(9)}

The p value is higher than the significance level given 0.01, so then we can conclude that we FAIL to reject the null hypothesis. And we can say that the true difference for Best Actresses is not significantly lower than the mean for Best​ Actors at 1% of significance.

Part b

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The confidence interval for the mean is given by the following formula:  

\bar d \pm t_{\alpha/2}\frac{s}{\sqrt{n}} (1)  

Since the Confidence is 0.99 or 99%, the value of \alpha=0.01 and \alpha/2 =0.005, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.005,9)".And we see that t_{\alpha/2}=3.25  

Now we have everything in order to replace into formula (1):  

-9.7-3.25\frac{11.451}{\sqrt{10}}=-21.469  

-9.7+3.25\frac{11.451}{\sqrt{10}}=2.069  

So on this case the 99% confidence interval would be given by (-21.469;2.069)

Part c

We got the same conclusion as part a, sicne the confidence interval contains the value 0, we FAIL to reject the null hypothesis that the difference between the two means is 0.

8 0
3 years ago
Police plan to enforce speed limits by using radar traps at four different​ locations, Upper L 1L1​, Upper L 2L2​, Upper L 3L3​,
horsena [70]

Answer:

This person have a 29 % probability to receive a speeding​ ticket

Step-by-step explanation:

The probability of receive a speeding​ ticket in one of the traps is equal to the probability of going through that trap during the operation time of the trap.

Like we have four traps, and the probabilities are independent,  then the probability of receive a speed ticket in one of them, is the sum of the probability for each trap.

P=P1+P2+P3+P4

The probability of going through a trap during the operation time is obtained by multiplying the probability of passing through the​ trap by the frequency of operation

Frequency of operation:

TL1 ⇒ 40 % = 0.4

TL2 ⇒ 30 % = 0.3

TL3 ⇒ 20 % = 0.2

TL4 ⇒ 30 % = 0.3

Probability of passing through these​ locations

PL1 ⇒ 0.3

PL2 ⇒ 0.2

PL3 ⇒ 0.4

PL4 ⇒ 0.1

then,

P1= TL1*PL1

P2= TL2*PL2

P3= TL3*PL3

P4= TL4*PL4

and

P = TL1*PL1 + TL2*PL2 + TL3*PL3 + TL4*PL4 = 0.12 + 0.06 + 0.08 + 0.03 = 0.29 = 29 %

This person have a 29 % probability to receive a speeding​ ticket

4 0
3 years ago
a recipe calls for 1 and 3/4 cups of flour. How many cups will you need if you are preparing 3 batches of the recipe?
insens350 [35]

The first thing we need to distinguish is what 1 and 3/4 means.  So, 3/4 = .75, so 1 and 3/4 = 1.75


So, we need 1.75 cups of flour for one batch, since you're making three batches, you need three times as much, so

1.75 * 3

5.25 is the answer, to put it back in to fractions,

5 and 1/4 cups of flour are needed.

5 0
3 years ago
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