A) the null hypothesis should be rejected B) the difference analyzed by a t test is not statistically significant C) both of the descriptive alternatives are correct D) neither of the descriptive alternatives is correct. A) the null hypothesis should be rejected B) the difference analyzed by a t test is not statistically significant C) both of the descriptive alternatives are correct D) neither of the descriptive alternatives is correct. A

Data Set 9-2: Scores: 1, 2, 3, 4, 5 -The t value you calculated when the scores in Data Set 9-2 were tested against H0: µ = 1.00 leads to the conclusion that the null hypothesis should be

A) rejected at the .05 level for a two-tailed test B) rejected at the .05 and .01 level for a two-tailed test C) rejected at the .05, .01, and .001 level for a two-tailed test D) retained. A) rejected at the .05 level for a two-tailed test B) rejected at the .05 and .01 level for a two-tailed test C) rejected at the .05, .01, and .001 level for a two-tailed test D) retained.

Data Set 9-3: N = 8 $\Sigma$X = 48 $\Sigma$XS1U1P12S1S1P0 = 351 -Refer to Data Set 9-3. For H0: µ = 2.00, the effect size index is

A) 3.77 B) 1.33 C) 1.25 D) none of the other alternatives are correct. A) 3.77 B) 1.33 C) 1.25 D) none of the other alternatives are correct.

Exam 9: Hypothesis Testing and Effect Size: One-Sample Designs

Many manufacturers of light bulbs advertise their 75 watt bulbs as having a life of 750 hours Suppose two electrically minded students wired up 12 bulbs so that elapsed time was recorded when the bulbs failed. The following statistics were obtained. Perform a t test, calculate the effect size index, and write a conclusion about the manufacturers' claim. $\Sigma$ X = 8820 $\Sigma$ X² = 6,487,100 N = 12

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Question 1

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$\bar { X } = 735$ hours $\quad$ $\hat { s } = 20.00 \quad s _ { X } = 5.774$
$\begin{array} { l } t = \frac { 735 - 750 } { 5.774 } = - 2.60 ; \quad d f = 11 \\t _ { .05 } ( 11 d f ) = 2.201\end{array}$ The mean number of hours that the 75 watt bulbs burned (735) was significantly less than the advertised claim of 750 hours, p < .05.
$d = \frac { 735 - 750 } { 20.00 } = - 0.75$ The effect size index, 0.75, indicates that burning 735 hours instead of 750 is a statistically large effect (almost).

"p < .05"means that

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Question 2

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A medium effect size index value is 0.50.

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Question 3

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False

The statistical technique of null hypothesis statistical testing (NHST) is designed to test a hypothesis about

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Question 4

Data Set 9-2: Scores: 1, 2, 3, 4, 5 -The t value you calculated when the scores in Data Set 9-2 were tested against H₀: µ = 1.00 leads to the conclusion that the null hypothesis should be

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Question 5

When we reject the null hypothesis, we have evidence that the difference observed is

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Question 6

Which phrase goes with "in the rejection region"?

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Question 7

Null hypothesis statistical testing (NHST) uses data to tell whether the came from a(n) population.

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Question 8

Which of the following describes the sample of Doritos tortillas weights analyzed in your text?

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Question 9

Using the statistic p and null hypothesis statistical testing, you can

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Question 10

The symbol for an effect size index is p.

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Question 11

An effect size index is most closely associated with which phrase below?

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Question 12

Data Set 9-3: N = 8 $\Sigma$ X = 48 $\Sigma$ X² = 351 -Refer to Data Set 9-3. For H₀: µ = 2.00, the effect size index is

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Question 13

Data Set 9-4: N = 6 $\Sigma$ X = 30 $\Sigma$ X² = 180 -The t value when the scores in Data Set 9-4 are tested against H₀: $\mu$ = 3.00 leads to the conclusion that the null hypothesis be

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Question 14

A null hypothesis is a statement about

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Question 15

For a one-sample t test, which of the following pairs of values qualify as large effect sizes

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Question 16

Adopting an arbitrary point to separate differences "attributed to chance"from those "not attributed to chance"was first done by scientists working in the field of

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Question 17

Data Set 9-4: N = 6 $\Sigma$ X = 30 $\Sigma$ X² = 180 -The t value when the scores in Data Set 9-4 are tested against H₀: µ = 8.00 leads to the conclusion that the null hypothesis be

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Question 18

Howell and Nurcombe (1984) examined 6 month-old infants who were low birthweight babies when they were born. Each child was rated on the Bayley Psychomotor Development Index. The population mean for this test is 100 and high scores mean better performance. Perform a t test, calculate the effect size index, and write a conclusion about what to expect (on the average) of low birthweight babies.102 , 96 , 110 , 99 , 112 , 103 , 99 , 109 , 107 , 104

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Question 19

A t test value that is larger than the tabled value of t

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Question 20

Showing 1 - 20 of 157

"p < .05"means that

A medium effect size index value is 0.50.

The statistical technique of null hypothesis statistical testing (NHST) is designed to test a hypothesis about

Data Set 9-2: Scores: 1, 2, 3, 4, 5 -The t value you calculated when the scores in Data Set 9-2 were tested against H₀: µ = 1.00 leads to the conclusion that the null hypothesis should be

When we reject the null hypothesis, we have evidence that the difference observed is

Which phrase goes with "in the rejection region"?

Null hypothesis statistical testing (NHST) uses data to tell whether the came from a(n) population.

Which of the following describes the sample of Doritos tortillas weights analyzed in your text?

Using the statistic p and null hypothesis statistical testing, you can

The symbol for an effect size index is p.

An effect size index is most closely associated with which phrase below?

Data Set 9-3: N = 8 $\Sigma$ X = 48 $\Sigma$ X² = 351 -Refer to Data Set 9-3. For H₀: µ = 2.00, the effect size index is

Data Set 9-4: N = 6 $\Sigma$ X = 30 $\Sigma$ X² = 180 -The t value when the scores in Data Set 9-4 are tested against H₀: $\mu$ = 3.00 leads to the conclusion that the null hypothesis be

A null hypothesis is a statement about

For a one-sample t test, which of the following pairs of values qualify as large effect sizes

Adopting an arbitrary point to separate differences "attributed to chance"from those "not attributed to chance"was first done by scientists working in the field of

Data Set 9-4: N = 6 $\Sigma$ X = 30 $\Sigma$ X² = 180 -The t value when the scores in Data Set 9-4 are tested against H₀: µ = 8.00 leads to the conclusion that the null hypothesis be

A t test value that is larger than the tabled value of t

Introduction

Exploring Data: Frequency Distributions and Graphs

Exploring Data: Central Tendency

Exploring Data: Variability

Other Descriptive Statistics

Correlation and Regression

Theoretical Distributions Including the Normal Distribution

Samples, Sampling Distributions, and Confidence Intervals

Hypothesis Testing, Effect Size, and and Confidence Intervals: Two-Sample Designs

Analysis of Variance: One-Way Classification

Analysis of Variance: One-Factor Repeated Measures

Analysis of Variance: Factorial Design

Chi Square Tests

More Nonparametric Tests

Appendix: Grouped Frequency Distributions and Central Tendency

Filters

Exam 9: Hypothesis Testing and Effect Size: One-Sample Designs

"p < .05"means that

A medium effect size index value is 0.50.

The statistical technique of null hypothesis statistical testing (NHST) is designed to test a hypothesis about

Data Set 9-2: Scores: 1, 2, 3, 4, 5 -The t value you calculated when the scores in Data Set 9-2 were tested against H0: µ = 1.00 leads to the conclusion that the null hypothesis should be

When we reject the null hypothesis, we have evidence that the difference observed is

Which phrase goes with "in the rejection region"?

Null hypothesis statistical testing (NHST) uses ______________ data to tell whether the ____________came from a(n)______________ population.

Which of the following describes the sample of Doritos tortillas weights analyzed in your text?

Using the statistic p and null hypothesis statistical testing, you can

The symbol for an effect size index is p.

An effect size index is most closely associated with which phrase below?

Data Set 9-3: N = 8 Σ\SigmaΣ X = 48 Σ\SigmaΣ X2 = 351 -Refer to Data Set 9-3. For H0: µ = 2.00, the effect size index is

Data Set 9-4: N = 6 Σ\SigmaΣ X = 30 Σ\SigmaΣ X2 = 180 -The t value when the scores in Data Set 9-4 are tested against H0: μ\muμ = 3.00 leads to the conclusion that the null hypothesis be

A null hypothesis is a statement about

For a one-sample t test, which of the following pairs of values qualify as large effect sizes

Adopting an arbitrary point to separate differences "attributed to chance"from those "not attributed to chance"was first done by scientists working in the field of

Data Set 9-4: N = 6 Σ\SigmaΣ X = 30 Σ\SigmaΣ X2 = 180 -The t value when the scores in Data Set 9-4 are tested against H0: µ = 8.00 leads to the conclusion that the null hypothesis be

A t test value that is larger than the tabled value of t

Introduction

Exploring Data: Frequency Distributions and Graphs

Exploring Data: Central Tendency

Exploring Data: Variability

Other Descriptive Statistics

Correlation and Regression

Theoretical Distributions Including the Normal Distribution

Samples, Sampling Distributions, and Confidence Intervals

Hypothesis Testing, Effect Size, and and Confidence Intervals: Two-Sample Designs

Analysis of Variance: One-Way Classification

Analysis of Variance: One-Factor Repeated Measures

Analysis of Variance: Factorial Design

Chi Square Tests

More Nonparametric Tests

Appendix: Grouped Frequency Distributions and Central Tendency

Filters

Data Set 9-2: Scores: 1, 2, 3, 4, 5 -The t value you calculated when the scores in Data Set 9-2 were tested against H₀: µ = 1.00 leads to the conclusion that the null hypothesis should be

Null hypothesis statistical testing (NHST) uses data to tell whether the came from a(n) population.

Data Set 9-3: N = 8 $\Sigma$ X = 48 $\Sigma$ X² = 351 -Refer to Data Set 9-3. For H₀: µ = 2.00, the effect size index is

Data Set 9-4: N = 6 $\Sigma$ X = 30 $\Sigma$ X² = 180 -The t value when the scores in Data Set 9-4 are tested against H₀: $\mu$ = 3.00 leads to the conclusion that the null hypothesis be

Data Set 9-4: N = 6 $\Sigma$ X = 30 $\Sigma$ X² = 180 -The t value when the scores in Data Set 9-4 are tested against H₀: µ = 8.00 leads to the conclusion that the null hypothesis be