Estimate the average weekly TV hours watched by students at this university with 99% confidence.What is the parameter of interest?Single Proportion,Single Mean,Difference in Proportions,Difference in Independent Means,Mean Difference (matched pairs), What type(s) of variables?One QuantitativeOne CategoricalOne Quantitative and One CategoricalTwo CategoricalWhat conditions need to be checked?what is the formula for the correct Confidence Interval or Test Statistic?Define each variable in the formula and give its value. Show Data Table Edit DataUpload FileChange Column(s)StudentSurvey.csv: TVGenerate 1 Sample Generate 10 Samples Generate 100 Samples Generate 1000 SamplesBootstrap Dotplot of Mean6050403020100X5.50HelpLeft Tail ✔ Two-Tail Right Tail0.00508x 2000 ::5.155.7476.006.250.9906.506.5056.75Reset Plot7.00samples - 2000mean = 6.505std. error = 0.2907.250.0050**Xxxxxx x7.50Original Samplen = 361, mean = 6.504median = 5, stdev = 5.58475502507550Bootstrap Sample Show Data Tablen = 361, mean = 6.601median = 5, stdev = 5.5372500106.5040..…...…..20 30 40dll.20106.6017.296StatKey v. 3.0.3 is written in JavaScript and should work well with any current browsers Chrome, Firefox, Safari, Opera, and Edge.StatKey contains accessibility features, including screen reader support and keyboard navigation.3040

Here, we have to obtain the 99% confidence interval for estimating the average weekly TV hours…

Answered: Estimate the average weekly TV hours…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 6SGR

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Related questions

Question

100%

Estimate the average weekly TV hours watched by students at this university with 99% confidence.

What is the parameter of interest?

Single Proportion,
Single Mean,
Difference in Proportions,
Difference in Independent Means,
Mean Difference (matched pairs),

What type(s) of variables?

One Quantitative
One Categorical
One Quantitative and One Categorical
Two Categorical

What conditions need to be checked?

what is the formula for the correct Confidence Interval or Test Statistic?

Define each variable in the formula and give its value.

Show Data Table Edit Data
Upload File
Change Column(s)
StudentSurvey.csv: TV
Generate 1 Sample Generate 10 Samples Generate 100 Samples Generate 1000 Samples
Bootstrap Dotplot of Mean
60
50
40
30
20
10
0
X
5.50
Help
Left Tail ✔ Two-Tail Right Tail
0.0050
8x 2000 ::
5.15
5.747
6.00
6.25
0.990
6.50
6.505
6.75
Reset Plot
7.00
samples - 2000
mean = 6.505
std. error = 0.290
7.25
0.0050
**
X
xxxxx x
7.50
Original Sample
n = 361, mean = 6.504
median = 5, stdev = 5.584
75
50
25
0
75
50
Bootstrap Sample Show Data Table
n = 361, mean = 6.601
median = 5, stdev = 5.537
25
0
0
10
6.504
0
..…...…..
20 30 40
dll.
20
10
6.601
7.296
StatKey v. 3.0.3 is written in JavaScript and should work well with any current browsers Chrome, Firefox, Safari, Opera, and Edge.
StatKey contains accessibility features, including screen reader support and keyboard navigation.
30
40

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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