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Stels [109]
3 years ago
12

A company that produces laundry detergent is interested in the level of consumer awareness concerning the unique properties of t

heir product. Historical data indicated that among the consumers who buy this detergent, the proportion who purchased it because they had seen it advertised on TV is 0.80. The marketing manager feels that decreases in the TV advertising budget over the years has caused a decrease in sales. She decides to conduct a survey to determine if there is sufficient evidence to conclude that the population proportion is less than 0.80. In a random sample of 400 consumers who bought this detergent, 296 indicated that they bought it because they saw it advertised on TV. What is the value of the test statistic for the test described above and what is the type of alternative hypothesis?
Mathematics
1 answer:
Veseljchak [2.6K]3 years ago
8 0

Answer:

The value of test statistic is -2.736.

The type of alternate hypothesis is Left- tailed.

Step-by-step explanation:

We are given that Historical data indicated that among the consumers who buy this detergent, the proportion who purchased it because they had seen it advertised on TV is 0.80. In a random sample of 400 consumers who bought this detergent, 296 indicated that they bought it because they saw it advertised on TV.

We have to test the hypothesis to determine if there is sufficient evidence to conclude that the population proportion is less than 0.80.

<em>Let p = population proportion of people who purchased the detergent because they had seen it advertised on TV.</em>

<em />

SO, Null Hypothesis, H_0 : p \geq 0.80  {means that the population proportion of people who purchased the detergent because they had seen it advertised on TV is greater than or equal to 0.80}

Alternate Hypothesis, H_a : p < 0.80  {means that the population proportion of people who purchased the detergent because they had seen it advertised on TV is less than 0.80}

The test statistics that will be used here is <u>One-sample z-proportion test;</u>

                      T.S. = \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = proportion of people who bought detergent because they saw it advertised on TV in a sample of 400 customers = \frac{296}{400} = 0.74

           n = sample of customers = 400

SO, <u>test statistics </u> = \frac{0.74-0.80}{\sqrt{\frac{0.74(1-0.74)}{400} } }

                               = -2.736

Therefore, the value of the test statistic for the test described above is -2.736.

<em>And the type of alternative hypothesis is left-tailed because we have to determine whether the population proportion of people who purchased the detergent because they had seen it advertised on TV is less than 0.80.</em>

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The midpoint of the segment shown below is (1, -3/2). Option A) is the correct answer.

<u>Step-by-step explanation</u>:

The two end points of the line segments are (1,2) and (1,-5).

<u>step 1</u> :

Midpoint formula = ((x1 + x2)/2 , (y1 +y 2)/2)

<u>step 2</u> :

(x1, y1) = (1, 2)

(x2, y2) = (1, -5)

<u>step 3</u> :

Substitute the values in the midpoint formula,

Midpoint = ((1 + 1)/2 , (2 -5)/2)

                = ((2/2) , (-3/2))

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5 0
3 years ago
A+B= -7 and AXB= -15
ZanzabumX [31]
A+b=-7
ab=-15

a=-7-b
b(-7-b)=-15

a=-7-b
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a=-7-b
b=(-7±sqrt(109))/2
1) 
a=-7-b
b=(-7+sqrt(109))/2

b=(-7+sqrt(109))/2
a=-7+3.5-sqrt(109)/2

b=(-7+sqrt(109))/2
a=-3.5-sqrt(109)/2

2)
a=-7-b
b=(-7-sqrt(109))/2

b=(-7-sqrt(109))/2
a=-7+3.5+sqrt(109)/2

b=(-7-sqrt(109))/2
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7 0
4 years ago
What is the value of 105 ÷ (−15) ?
Kryger [21]

105 ÷ (−15) = -7

15 goes into 105 seven times and then you carry the minus over.

5 0
4 years ago
The gilberts are designing a rectangular patio for their backyard. the patio has an area of 432 square feet. the width of the pa
marissa [1.9K]
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5 0
3 years ago
Adecco Workplace Insights Survey sampled men and women workers and asked if they expected to get a raise or promotion this year
Mumz [18]

Answer:

Yes

Step-by-step explanation:

Let p1 represent proportion of women and p2 proportion of men. The null and alternative hypothesis will be as follows

Null hypothesis

H_o=p2-p1 ≤0

Alternative hypothesis

H_a=p2-p1>0

Sample proportion of women, p1=74/200=0.37

Sample proportion of men is p2=104/200=0.52

Level of significance is 0.01

Pooled proportion=\frac {104+74}{200+200}=0.445

Test statistic

z=\frac {(0.52-0.37)-0}{0.445(1-0.445)*\sqrt{(1/200+1/200)}}=6.9124

p-value=P(Z≥z)=P(Z≥6.9124)=P(Z≤-6.9124)=0

Since the value of p is less than 0.01, we reject null hypothesis. There’s sufficient evidence that a greater proportion of men is expecting to get a raise

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